diff --git a/trains/backend_interface/metrics/reporter.py b/trains/backend_interface/metrics/reporter.py
index 72911d8d..7afb6d16 100644
--- a/trains/backend_interface/metrics/reporter.py
+++ b/trains/backend_interface/metrics/reporter.py
@@ -142,7 +142,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param iter: Iteration number
         :type value: int
         """
-        ev = ScalarEvent(metric=self._normalize_name(title), variant=self._normalize_name(series), value=value, iter=iter)
+        ev = ScalarEvent(metric=self._normalize_name(title), variant=self._normalize_name(series), value=value,
+                         iter=iter)
         self._report(ev)
 
     def report_vector(self, title, series, values, iter):
@@ -159,7 +160,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         """
         if not isinstance(values, Iterable):
             raise ValueError('values: expected an iterable')
-        ev = VectorEvent(metric=self._normalize_name(title), variant=self._normalize_name(series), values=values, iter=iter)
+        ev = VectorEvent(metric=self._normalize_name(title), variant=self._normalize_name(series), values=values,
+                         iter=iter)
         self._report(ev)
 
     def report_plot(self, title, series, plot, iter):
@@ -185,7 +187,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             plot = json.dumps(plot, default=default)
         elif not isinstance(plot, six.string_types):
             raise ValueError('Plot should be a string or a dict')
-        ev = PlotEvent(metric=self._normalize_name(title), variant=self._normalize_name(series), plot_str=plot, iter=iter)
+        ev = PlotEvent(metric=self._normalize_name(title), variant=self._normalize_name(series), plot_str=plot,
+                       iter=iter)
         self._report(ev)
 
     def report_image(self, title, series, src, iter):
@@ -201,7 +204,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param iter: Iteration number
         :type value: int
         """
-        ev = ImageEventNoUpload(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter, src=src)
+        ev = ImageEventNoUpload(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter,
+                                src=src)
         self._report(ev)
 
     def report_media(self, title, series, src, iter):
@@ -217,7 +221,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param iter: Iteration number
         :type value: int
         """
-        ev = ImageEventNoUpload(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter, src=src)
+        ev = ImageEventNoUpload(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter,
+                                src=src)
         self._report(ev)
 
     def report_image_and_upload(self, title, series, iter, path=None, image=None, upload_uri=None,
@@ -245,7 +250,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             raise ValueError('Upload configuration is required (use setup_upload())')
         if len([x for x in (path, image) if x is not None]) != 1:
             raise ValueError('Expected only one of [filename, image]')
-        kwargs = dict(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter, file_history_size=max_image_history)
+        kwargs = dict(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter,
+                      file_history_size=max_image_history)
         ev = ImageEvent(image_data=image, upload_uri=upload_uri, local_image_path=path,
                         delete_after_upload=delete_after_upload, **kwargs)
         self._report(ev)
@@ -284,7 +290,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         self._report(ev)
 
     def report_histogram(self, title, series, histogram, iter, labels=None, xlabels=None,
-                         xtitle=None, ytitle=None, comment=None, mode='group'):
+                         xtitle=None, ytitle=None, comment=None, mode='group', layout_config=None):
         """
         Report an histogram bar plot
         :param title: Title (AKA metric)
@@ -306,6 +312,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :type comment: str
         :param mode: multiple histograms mode. valid options are: stack / group / relative. Default is 'group'.
         :type mode: str
+        :param layout_config: optional dictionary for layout configuration, passed directly to plotly
+        :type layout_config: dict or None
         """
         assert mode in ('stack', 'group', 'relative')
 
@@ -319,6 +327,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             xlabels=xlabels,
             comment=comment,
             mode=mode,
+            layout_config=layout_config,
         )
 
         return self.report_plot(
@@ -328,7 +337,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             iter=iter,
         )
 
-    def report_table(self, title, series, table, iteration):
+    def report_table(self, title, series, table, iteration, layout_config=None):
         """
         Report a table plot.
 
@@ -340,8 +349,10 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :type table: pandas.DataFrame
         :param iteration: Iteration number
         :type iteration: int
+        :param layout_config: optional dictionary for layout configuration, passed directly to plotly
+        :type layout_config: dict or None
         """
-        table_output = create_plotly_table(table, title, series)
+        table_output = create_plotly_table(table, title, series, layout_config=layout_config)
         return self.report_plot(
             title=self._normalize_name(title),
             series=self._normalize_name(series),
@@ -349,7 +360,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             iter=iteration,
         )
 
-    def report_line_plot(self, title, series, iter, xtitle, ytitle, mode='lines', reverse_xaxis=False, comment=None):
+    def report_line_plot(self, title, series, iter, xtitle, ytitle, mode='lines', reverse_xaxis=False,
+                         comment=None, layout_config=None):
         """
         Report a (possibly multiple) line plot.
 
@@ -369,6 +381,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :type reverse_xaxis: bool
         :param comment: comment underneath the title
         :type comment: str
+        :param layout_config: optional dictionary for layout configuration, passed directly to plotly
+        :type layout_config: dict or None
         """
 
         plotly_dict = create_line_plot(
@@ -379,6 +393,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             mode=mode,
             reverse_xaxis=reverse_xaxis,
             comment=comment,
+            layout_config=layout_config,
         )
 
         return self.report_plot(
@@ -389,7 +404,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         )
 
     def report_2d_scatter(self, title, series, data, iter, mode='lines', xtitle=None, ytitle=None, labels=None,
-                          comment=None):
+                          comment=None, layout_config=None):
         """
         Report a 2d scatter graph (with lines)
 
@@ -407,6 +422,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param labels: label (text) per point in the scatter (in the same order)
         :param comment: comment underneath the title
         :type comment: str
+        :param layout_config: optional dictionary for layout configuration, passed directly to plotly
+        :type layout_config: dict or None
         """
         plotly_dict = create_2d_scatter_series(
             np_row_wise=data,
@@ -417,6 +434,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             ytitle=ytitle,
             labels=labels,
             comment=comment,
+            layout_config=layout_config,
         )
 
         return self.report_plot(
@@ -428,7 +446,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
 
     def report_3d_scatter(self, title, series, data, iter, labels=None, mode='lines', color=((217, 217, 217, 0.14),),
                           marker_size=5, line_width=0.8, xtitle=None, ytitle=None, ztitle=None, fill=None,
-                          comment=None):
+                          comment=None, layout_config=None):
         """
         Report a 3d scatter graph (with markers)
 
@@ -450,6 +468,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param ytitle: optional y-axis title
         :param ztitle: optional z-axis title
         :param comment: comment underneath the title
+        :param layout_config: optional dictionary for layout configuration, passed directly to plotly
+        :type layout_config: dict or None
         """
         data_series = data if isinstance(data, list) else [data]
 
@@ -469,6 +489,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             yaxis_title=ytitle,
             zaxis_title=ztitle,
             comment=comment,
+            layout_config=layout_config,
         )
 
         for i, values in enumerate(data_series):
@@ -492,7 +513,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             iter=iter,
         )
 
-    def report_value_matrix(self, title, series, data, iter, xtitle=None, ytitle=None, xlabels=None, ylabels=None, comment=None):
+    def report_value_matrix(self, title, series, data, iter, xtitle=None, ytitle=None, xlabels=None, ylabels=None,
+                            comment=None, layout_config=None):
         """
         Report a heat-map matrix
 
@@ -509,6 +531,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param xlabels: optional label per column of the matrix
         :param ylabels: optional label per row of the matrix
         :param comment: comment underneath the title
+        :param layout_config: optional dictionary for layout configuration, passed directly to plotly
+        :type layout_config: dict or None
         """
 
         plotly_dict = create_value_matrix(
@@ -520,6 +544,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             comment=comment,
             xtitle=xtitle,
             ytitle=ytitle,
+            layout_config=layout_config,
         )
 
         return self.report_plot(
@@ -530,7 +555,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         )
 
     def report_value_surface(self, title, series, data, iter, xlabels=None, ylabels=None,
-                             xtitle=None, ytitle=None, ztitle=None, camera=None, comment=None):
+                             xtitle=None, ytitle=None, ztitle=None, camera=None, comment=None, layout_config=None):
         """
         Report a 3d surface (same data as heat-map matrix, only presented differently)
 
@@ -549,6 +574,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :param ztitle: optional z-axis title
         :param camera: X,Y,Z camera position. def: (1,1,1)
         :param comment: comment underneath the title
+        :param layout_config: optional dictionary for layout configuration, passed directly to plotly
+        :type layout_config: dict or None
         """
 
         plotly_dict = create_3d_surface(
@@ -562,6 +589,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             ztitle=ztitle,
             camera=camera,
             comment=comment,
+            layout_config=layout_config,
         )
 
         return self.report_plot(
@@ -588,6 +616,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
         :type path: str
         :param matrix: A 3D numpy.ndarray object containing image data (RGB). Required unless filename is provided.
         :type matrix: str
+        :param upload_uri: upload image destination (str)
+        :type upload_uri: str
         :param max_image_history: maximum number of image to store per metric/variant combination
         use negative value for unlimited. default is set in global configuration (default=5)
         :param delete_after_upload: if True, one the file was uploaded the local copy will be deleted
@@ -597,7 +627,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
             raise ValueError('Upload configuration is required (use setup_upload())')
         if len([x for x in (path, matrix) if x is not None]) != 1:
             raise ValueError('Expected only one of [filename, matrix]')
-        kwargs = dict(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter, file_history_size=max_image_history)
+        kwargs = dict(metric=self._normalize_name(title), variant=self._normalize_name(series), iter=iter,
+                      file_history_size=max_image_history)
         ev = UploadEvent(image_data=matrix, upload_uri=upload_uri, local_image_path=path,
                          delete_after_upload=delete_after_upload, **kwargs)
         _, url = ev.get_target_full_upload_uri(upload_uri or self._storage_uri, self._metrics.storage_key_prefix)
diff --git a/trains/logger.py b/trains/logger.py
index b835dde6..1419419b 100644
--- a/trains/logger.py
+++ b/trains/logger.py
@@ -13,7 +13,6 @@ except ImportError:
 from PIL import Image
 from pathlib2 import Path
 
-from .backend_api.services import tasks
 from .backend_interface.logger import StdStreamPatch, LogFlusher
 from .backend_interface.task import Task as _Task
 from .backend_interface.task.development.worker import DevWorker
@@ -144,16 +143,17 @@ class Logger(object):
         return self._task.reporter.report_scalar(title=title, series=series, value=float(value), iter=iteration)
 
     def report_vector(
-        self,
-        title,  # type: str
-        series,  # type: str
-        values,  # type: Sequence[Union[int, float]]
-        iteration,  # type: int
-        labels=None,  # type: Optional[List[str]]
-        xlabels=None,  # type: Optional[List[str]]
-        xaxis=None,  # type: Optional[str]
-        yaxis=None,  # type: Optional[str]
-        mode=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            values,  # type: Sequence[Union[int, float]]
+            iteration,  # type: int
+            labels=None,  # type: Optional[List[str]]
+            xlabels=None,  # type: Optional[List[str]]
+            xaxis=None,  # type: Optional[str]
+            yaxis=None,  # type: Optional[str]
+            mode=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, plot a vector as (default stacked) histogram.
@@ -180,22 +180,25 @@ class Logger(object):
         :param str xaxis: The x-axis title. (Optional)
         :param str yaxis: The y-axis title. (Optional)
         :param str mode: Multiple histograms mode, stack / group / relative. Default is 'group'.
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
         self._touch_title_series(title, series)
         return self.report_histogram(title, series, values, iteration, labels=labels, xlabels=xlabels,
-                                     xaxis=xaxis, yaxis=yaxis, mode=mode)
+                                     xaxis=xaxis, yaxis=yaxis, mode=mode, extra_layout=extra_layout)
 
     def report_histogram(
-        self,
-        title,  # type: str
-        series,  # type: str
-        values,  # type: Sequence[Union[int, float]]
-        iteration,  # type: int
-        labels=None,  # type: Optional[List[str]]
-        xlabels=None,  # type: Optional[List[str]]
-        xaxis=None,  # type: Optional[str]
-        yaxis=None,  # type: Optional[str]
-        mode=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            values,  # type: Sequence[Union[int, float]]
+            iteration,  # type: int
+            labels=None,  # type: Optional[List[str]]
+            xlabels=None,  # type: Optional[List[str]]
+            xaxis=None,  # type: Optional[str]
+            yaxis=None,  # type: Optional[str]
+            mode=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, plot a (default grouped) histogram.
@@ -207,8 +210,8 @@ class Logger(object):
         .. code-block:: py
 
            vector_series = np.random.randint(10, size=10).reshape(2,5)
-           logger.report_histogram(title='histogram example', series='histogram series', values=vector_series, iteration=0,
-                labels=['A','B'], xaxis='X axis label', yaxis='Y axis label')
+           logger.report_histogram(title='histogram example', series='histogram series',
+                values=vector_series, iteration=0, labels=['A','B'], xaxis='X axis label', yaxis='Y axis label')
 
         You can view the reported histograms in the **Trains Web-App (UI)**, **RESULTS** tab, **PLOTS** sub-tab.
 
@@ -224,6 +227,8 @@ class Logger(object):
         :param str xaxis: The x-axis title. (Optional)
         :param str yaxis: The y-axis title. (Optional)
         :param str mode: Multiple histograms mode, stack / group / relative. Default is 'group'.
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
 
         if not isinstance(values, np.ndarray):
@@ -241,17 +246,19 @@ class Logger(object):
             xlabels=xlabels,
             xtitle=xaxis,
             ytitle=yaxis,
-            mode=mode or 'group'
+            mode=mode or 'group',
+            layout_config=extra_layout,
         )
 
     def report_table(
-        self,
-        title,  # type: str
-        series,  # type: str
-        iteration,  # type: int
-        table_plot=None,  # type: Optional[pd.DataFrame]
-        csv=None,  # type: Optional[str]
-        url=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            iteration,  # type: int
+            table_plot=None,  # type: Optional[pd.DataFrame]
+            csv=None,  # type: Optional[str]
+            url=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit report, report a table plot.
@@ -284,6 +291,9 @@ class Logger(object):
         :type csv: str
         :param url: A URL to the location of csv file.
         :type url: str
+        :param extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
+        :type extra_layout: dict
         """
         mutually_exclusive(
             UsageError, _check_none=True,
@@ -293,7 +303,8 @@ class Logger(object):
         if url or csv:
             if not pd:
                 raise UsageError(
-                    "pandas is required in order to support reporting tables using CSV or a URL, please install the pandas python package"
+                    "pandas is required in order to support reporting tables using CSV or a URL, "
+                    "please install the pandas python package"
                 )
             if url:
                 table = pd.read_csv(url)
@@ -313,19 +324,21 @@ class Logger(object):
             title=title,
             series=series,
             table=reporter_table,
-            iteration=iteration
+            iteration=iteration,
+            layout_config=extra_layout,
         )
 
     def report_line_plot(
-        self,
-        title,  # type: str
-        series,  # type: str
-        iteration,  # type: int
-        xaxis,  # type: str
-        yaxis,  # type: str
-        mode='lines',  # type: str
-        reverse_xaxis=False,  # type: bool
-        comment=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            iteration,  # type: int
+            xaxis,  # type: str
+            yaxis,  # type: str
+            mode='lines',  # type: str
+            reverse_xaxis=False,  # type: bool
+            comment=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, plot one or more series as lines.
@@ -352,6 +365,8 @@ class Logger(object):
             - ``False`` - The x-axis is low to high  (not reversed). (Default)
 
         :param str comment: A comment displayed with the plot, underneath the title.
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
 
         series = [self.SeriesInfo(**s) if isinstance(s, dict) else s for s in series]
@@ -368,19 +383,21 @@ class Logger(object):
             mode=mode,
             reverse_xaxis=reverse_xaxis,
             comment=comment,
+            layout_config=extra_layout,
         )
 
     def report_scatter2d(
-        self,
-        title,  # type: str
-        series,  # type: str
-        scatter,  # type: Union[Sequence[Tuple[float, float]], np.ndarray]
-        iteration,  # type: int
-        xaxis=None,  # type: Optional[str]
-        yaxis=None,  # type: Optional[str]
-        labels=None,  # type: Optional[List[str]]
-        mode='lines',  # type: str
-        comment=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            scatter,  # type: Union[Sequence[Tuple[float, float]], np.ndarray]
+            iteration,  # type: int
+            xaxis=None,  # type: Optional[str]
+            yaxis=None,  # type: Optional[str]
+            labels=None,  # type: Optional[List[str]]
+            mode='lines',  # type: str
+            comment=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, report a 2d scatter plot.
@@ -408,8 +425,7 @@ class Logger(object):
 
         :param str title: The title of the plot.
         :param str series: The title of the series.
-        :param scatter: The scatter data.
-        :type numpy.ndarray, list of (pairs of x,y) scatter:
+        :param list scatter: The scatter data. numpy.ndarray or list of (pairs of x,y) scatter:
         :param int iteration: The iteration number. To set an initial iteration, for example to continue a previously
         :param str xaxis: The x-axis title. (Optional)
         :param str yaxis: The y-axis title. (Optional)
@@ -424,6 +440,8 @@ class Logger(object):
             - ``lines+markers``
 
         :param str comment: A comment displayed with the plot, underneath the title.
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
 
         if not isinstance(scatter, np.ndarray):
@@ -444,21 +462,23 @@ class Logger(object):
             ytitle=yaxis,
             labels=labels,
             comment=comment,
+            layout_config=extra_layout,
         )
 
     def report_scatter3d(
-        self,
-        title,  # type: str
-        series,  # type: str
-        scatter,  # type: Union[Sequence[Tuple[float, float, float]], np.ndarray]
-        iteration,  # type: int
-        xaxis=None,  # type: Optional[str]
-        yaxis=None,  # type: Optional[str]
-        zaxis=None,  # type: Optional[str]
-        labels=None,  # type: Optional[List[str]]
-        mode='markers',  # type: str
-        fill=False,  # type: bool
-        comment=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            scatter,  # type: Union[Sequence[Tuple[float, float, float]], np.ndarray]
+            iteration,  # type: int
+            xaxis=None,  # type: Optional[str]
+            yaxis=None,  # type: Optional[str]
+            zaxis=None,  # type: Optional[str]
+            labels=None,  # type: Optional[List[str]]
+            mode='markers',  # type: str
+            fill=False,  # type: bool
+            comment=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, plot a 3d scatter graph (with markers).
@@ -466,7 +486,7 @@ class Logger(object):
         :param str title: The title of the plot.
         :param str series: The title of the series.
         :param Union[numpy.ndarray, list] scatter: The scatter data.
-        :type scatter: list of (pairs of x,y,z), list of series [[(x1,y1,z1)...]], or numpy.ndarray
+            list of (pairs of x,y,z), list of series [[(x1,y1,z1)...]], or numpy.ndarray
         :param int iteration: The iteration number.
         :param str xaxis: The x-axis title. (Optional)
         :param str yaxis: The y-axis title. (Optional)
@@ -497,18 +517,20 @@ class Logger(object):
             - ``False`` - Do not fill (Default)
 
         :param str comment: A comment displayed with the plot, underneath the title.
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
         # check if multiple series
         multi_series = (
-            isinstance(scatter, list)
-            and (
-                isinstance(scatter[0], np.ndarray)
-                or (
-                     scatter[0]
-                     and isinstance(scatter[0], list)
-                     and isinstance(scatter[0][0], list)
+                isinstance(scatter, list)
+                and (
+                        isinstance(scatter[0], np.ndarray)
+                        or (
+                                scatter[0]
+                                and isinstance(scatter[0], list)
+                                and isinstance(scatter[0][0], list)
+                        )
                 )
-            )
         )
 
         if not multi_series:
@@ -536,19 +558,21 @@ class Logger(object):
             xtitle=xaxis,
             ytitle=yaxis,
             ztitle=zaxis,
+            layout_config=extra_layout,
         )
 
     def report_confusion_matrix(
-        self,
-        title,  # type: str
-        series,  # type: str
-        matrix,  # type: np.ndarray
-        iteration,  # type: int
-        xaxis=None,  # type: Optional[str]
-        yaxis=None,  # type: Optional[str]
-        xlabels=None,  # type: Optional[List[str]]
-        ylabels=None,  # type: Optional[List[str]]
-        comment=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            matrix,  # type: np.ndarray
+            iteration,  # type: int
+            xaxis=None,  # type: Optional[str]
+            yaxis=None,  # type: Optional[str]
+            xlabels=None,  # type: Optional[List[str]]
+            ylabels=None,  # type: Optional[List[str]]
+            comment=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, plot a heat-map matrix.
@@ -570,6 +594,8 @@ class Logger(object):
         :param list(str) xlabels: Labels for each column of the matrix. (Optional)
         :param list(str) ylabels: Labels for each row of the matrix. (Optional)
         :param str comment: A comment displayed with the plot, underneath the title.
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
 
         if not isinstance(matrix, np.ndarray):
@@ -588,18 +614,20 @@ class Logger(object):
             xlabels=xlabels,
             ylabels=ylabels,
             comment=comment,
+            layout_config=extra_layout,
         )
 
     def report_matrix(
-        self,
-        title,  # type: str
-        series,  # type: str
-        matrix,  # type: np.ndarray
-        iteration,  # type: int
-        xaxis=None,  # type: Optional[str]
-        yaxis=None,  # type: Optional[str]
-        xlabels=None,  # type: Optional[List[str]]
-        ylabels=None  # type: Optional[List[str]]
+            self,
+            title,  # type: str
+            series,  # type: str
+            matrix,  # type: np.ndarray
+            iteration,  # type: int
+            xaxis=None,  # type: Optional[str]
+            yaxis=None,  # type: Optional[str]
+            xlabels=None,  # type: Optional[List[str]]
+            ylabels=None,  # type: Optional[List[str]]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, plot a confusion matrix.
@@ -615,24 +643,28 @@ class Logger(object):
         :param str yaxis: The y-axis title. (Optional)
         :param list(str) xlabels: Labels for each column of the matrix. (Optional)
         :param list(str) ylabels: Labels for each row of the matrix. (Optional)
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
         self._touch_title_series(title, series)
         return self.report_confusion_matrix(title, series, matrix, iteration,
-                                            xaxis=xaxis, yaxis=yaxis, xlabels=xlabels, ylabels=ylabels)
+                                            xaxis=xaxis, yaxis=yaxis, xlabels=xlabels, ylabels=ylabels,
+                                            extra_layout=extra_layout)
 
     def report_surface(
-        self,
-        title,  # type: str
-        series,  # type: str
-        matrix,  # type: np.ndarray
-        iteration,  # type: int
-        xaxis=None,  # type: Optional[str]
-        yaxis=None,  # type: Optional[str]
-        zaxis=None,  # type: Optional[str]
-        xlabels=None,  # type: Optional[List[str]]
-        ylabels=None,  # type: Optional[List[str]]
-        camera=None,  # type: Optional[Sequence[float]]
-        comment=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            matrix,  # type: np.ndarray
+            iteration,  # type: int
+            xaxis=None,  # type: Optional[str]
+            yaxis=None,  # type: Optional[str]
+            zaxis=None,  # type: Optional[str]
+            xlabels=None,  # type: Optional[List[str]]
+            ylabels=None,  # type: Optional[List[str]]
+            camera=None,  # type: Optional[Sequence[float]]
+            comment=None,  # type: Optional[str]
+            extra_layout=None,  # type: Optional[dict]
     ):
         """
         For explicit reporting, report a 3d surface plot.
@@ -658,6 +690,8 @@ class Logger(object):
         :param list(str) ylabels: Labels for each row of the matrix. (Optional)
         :param list(float) camera: X,Y,Z coordinates indicating the camera position. The default value is ``(1,1,1)``.
         :param str comment: A comment displayed with the plot, underneath the title.
+        :param dict extra_layout: optional dictionary for layout configuration, passed directly to plotly
+            example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
         """
 
         if not isinstance(matrix, np.ndarray):
@@ -678,19 +712,20 @@ class Logger(object):
             ztitle=zaxis,
             camera=camera,
             comment=comment,
+            layout_config=extra_layout,
         )
 
     def report_image(
-        self,
-        title,  # type: str
-        series,  # type: str
-        iteration,  # type: int
-        local_path=None,  # type: Optional[str]
-        image=None,  # type: Optional[Union[np.ndarray, Image.Image]]
-        matrix=None,  # type: Optional[np.ndarray]
-        max_image_history=None,  # type: Optional[int]
-        delete_after_upload=False,  # type: bool
-        url=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            iteration,  # type: int
+            local_path=None,  # type: Optional[str]
+            image=None,  # type: Optional[Union[np.ndarray, Image.Image]]
+            matrix=None,  # type: Optional[np.ndarray]
+            max_image_history=None,  # type: Optional[int]
+            delete_after_upload=False,  # type: bool
+            url=None  # type: Optional[str]
     ):
         """
         For explicit reporting, report an image and upload its contents.
@@ -787,16 +822,16 @@ class Logger(object):
             )
 
     def report_media(
-        self,
-        title,  # type: str
-        series,  # type: str
-        iteration,  # type: int
-        local_path=None,  # type: Optional[str]
-        stream=None,  # type: Optional[six.BytesIO]
-        file_extension=None,  # type: Optional[str]
-        max_history=None,  # type: Optional[int]
-        delete_after_upload=False,  # type: bool
-        url=None  # type: Optional[str]
+            self,
+            title,  # type: str
+            series,  # type: str
+            iteration,  # type: int
+            local_path=None,  # type: Optional[str]
+            stream=None,  # type: Optional[six.BytesIO]
+            file_extension=None,  # type: Optional[str]
+            max_history=None,  # type: Optional[int]
+            delete_after_upload=False,  # type: bool
+            url=None  # type: Optional[str]
     ):
         """
         Report an image and upload its contents.
@@ -805,7 +840,8 @@ class Logger(object):
         describing the task ID, title, series and iteration.
 
         .. note::
-            :paramref:`~.Logger.report_image.local_path`, :paramref:`~.Logger.report_image.url`, :paramref:`~.Logger.report_image.image` and :paramref:`~.Logger.report_image.matrix`
+            :paramref:`~.Logger.report_image.local_path`, :paramref:`~.Logger.report_image.url`,
+            :paramref:`~.Logger.report_image.image` and :paramref:`~.Logger.report_image.matrix`
             are mutually exclusive, and at least one must be provided.
 
         :param str title: Title (AKA metric)
@@ -953,14 +989,14 @@ class Logger(object):
             self._flusher.start()
 
     def report_image_and_upload(
-        self,
-        title,  # type: str
-        series,  # type: str
-        iteration,  # type: int
-        path=None,  # type: Optional[str]
-        matrix=None,  # type: # type: Optional[Union[np.ndarray, Image.Image]]
-        max_image_history=None,  # type: Optional[int]
-        delete_after_upload=False  # type: bool
+            self,
+            title,  # type: str
+            series,  # type: str
+            iteration,  # type: int
+            path=None,  # type: Optional[str]
+            matrix=None,  # type: # type: Optional[Union[np.ndarray, Image.Image]]
+            max_image_history=None,  # type: Optional[int]
+            delete_after_upload=False  # type: bool
     ):
         """
         .. deprecated:: 0.13.0
@@ -1054,7 +1090,7 @@ class Logger(object):
                 # noinspection PyBroadException
                 try:
                     # make sure we are writing to the original stdout
-                    StdStreamPatch.stdout_original_write(str(msg)+'\n')
+                    StdStreamPatch.stdout_original_write(str(msg) + '\n')
                 except Exception:
                     pass
             else:
@@ -1064,14 +1100,14 @@ class Logger(object):
         self._start_task_if_needed()
 
     def _report_image_plot_and_upload(
-        self,
-        title,  # type: str
-        series,  # type: str
-        iteration,  # type: int
-        path=None,  # type: Optional[str]
-        matrix=None,  # type: Optional[np.ndarray]
-        max_image_history=None,  # type: Optional[int]
-        delete_after_upload=False  # type: bool
+            self,
+            title,  # type: str
+            series,  # type: str
+            iteration,  # type: int
+            path=None,  # type: Optional[str]
+            matrix=None,  # type: Optional[np.ndarray]
+            max_image_history=None,  # type: Optional[int]
+            delete_after_upload=False  # type: bool
     ):
         """
         Report an image, upload its contents, and present in plots section using plotly
@@ -1119,13 +1155,13 @@ class Logger(object):
         )
 
     def _report_file_and_upload(
-        self,
-        title,  # type: str
-        series,  # type: str
-        iteration,  # type: int
-        path=None,  # type: Optional[str]
-        max_file_history=None,  # type: Optional[int]
-        delete_after_upload=False  # type: bool
+            self,
+            title,  # type: str
+            series,  # type: str
+            iteration,  # type: int
+            path=None,  # type: Optional[str]
+            max_file_history=None,  # type: Optional[int]
+            delete_after_upload=False  # type: bool
     ):
         """
         Upload a file and report it as link in the debug images section.
diff --git a/trains/utilities/dicts.py b/trains/utilities/dicts.py
index fb0e2f15..ac9ca225 100644
--- a/trains/utilities/dicts.py
+++ b/trains/utilities/dicts.py
@@ -109,3 +109,15 @@ class NestedBlobsDict(BlobsDict):
 
     def keys(self):
         return self._keys(self, '')
+
+
+def merge_dicts(dict1, dict2):
+    """ Recursively merges dict2 into dict1 """
+    if not isinstance(dict1, dict) or not isinstance(dict2, dict):
+        return dict2
+    for k in dict2:
+        if k in dict1:
+            dict1[k] = merge_dicts(dict1[k], dict2[k])
+        else:
+            dict1[k] = dict2[k]
+    return dict1
diff --git a/trains/utilities/plotly_reporter.py b/trains/utilities/plotly_reporter.py
index bf30d659..3514d36e 100644
--- a/trains/utilities/plotly_reporter.py
+++ b/trains/utilities/plotly_reporter.py
@@ -1,6 +1,7 @@
 import numpy as np
 
 from ..errors import UsageError
+from ..utilities.dicts import merge_dicts
 
 try:
     import pandas as pd
@@ -10,7 +11,7 @@ from attr import attrs, attrib
 
 
 def create_2d_histogram_plot(np_row_wise, labels, title=None, xtitle=None, ytitle=None, series=None, xlabels=None,
-                             comment=None, mode='group'):
+                             comment=None, mode='group', layout_config=None):
     """
     Create a 2D Plotly histogram chart from a 2D numpy array
     :param np_row_wise: 2D numpy data array
@@ -20,12 +21,15 @@ def create_2d_histogram_plot(np_row_wise, labels, title=None, xtitle=None, ytitl
     :param ytitle: Y-Series title
     :param comment: comment underneath the title
     :param mode: multiple histograms mode. valid options are: stack / group / relative. Default is 'group'.
+    :param layout_config: optional extra layout configuration
     :return: Plotly chart dict
     """
     assert mode in ('stack', 'group', 'relative')
 
     np_row_wise = np.atleast_2d(np_row_wise)
     assert len(np_row_wise.shape) == 2, "Expected a 2D numpy array"
+    use_series = bool(labels)
+
     # using labels without xlabels leads to original behavior
     if labels is not None and xlabels is None:
         assert len(labels) == np_row_wise.shape[0], "Please provide a label for each data row"
@@ -41,7 +45,9 @@ def create_2d_histogram_plot(np_row_wise, labels, title=None, xtitle=None, ytitl
 
     data = [_np_row_to_plotly_data_item(np_row=np_row_wise[i, :], label=labels[i] if labels else None, xlabels=xlabels)
             for i in range(np_row_wise.shape[0])]
-    return _plotly_hist_dict(title=title, xtitle=xtitle, ytitle=ytitle, mode=mode, data=data, comment=comment)
+    return _plotly_hist_dict(title=series if use_series else title,
+                             xtitle=xtitle, ytitle=ytitle, mode=mode, data=data, comment=comment,
+                             layout_config=layout_config)
 
 
 def _to_np_array(value):
@@ -73,7 +79,8 @@ class SeriesInfo(object):
             )
 
 
-def create_line_plot(title, series, xtitle, ytitle, mode='lines', reverse_xaxis=False, comment=None, MAX_SIZE=None):
+def create_line_plot(title, series, xtitle, ytitle, mode='lines', reverse_xaxis=False,
+                     comment=None, MAX_SIZE=None, layout_config=None):
     plotly_obj = _plotly_scatter_layout_dict(
         title=title if not comment else (title + '<br><sup>' + comment + '</sup>'),
         xaxis_title=xtitle,
@@ -119,11 +126,14 @@ def create_line_plot(title, series, xtitle, ytitle, mode='lines', reverse_xaxis=
         "type": "scatter",
     } for s in series)
 
+    if layout_config:
+        plotly_obj["layout"] = merge_dicts(plotly_obj["layout"], layout_config)
+
     return plotly_obj
 
 
 def create_2d_scatter_series(np_row_wise, title="Scatter", series_name="Series", xtitle="x", ytitle="y", mode="lines",
-                             labels=None, comment=None):
+                             labels=None, comment=None, layout_config=None):
     """
     Create a 2D scatter Plotly graph from a 2 column numpy array
     :param np_row_wise: 2 column numpy data array [(x0,y0), (x1,y1) ...]
@@ -134,6 +144,7 @@ def create_2d_scatter_series(np_row_wise, title="Scatter", series_name="Series",
     :param mode: scatter type mode ('lines' / 'markers' / 'lines+markers')
     :param labels: label (text) per point on the scatter graph
     :param comment: comment underneath the title
+    :param layout_config: optional dictionary for layout configuration, passed directly to plotly
     :return: Plotly chart dict
     :return:
     """
@@ -154,12 +165,12 @@ def create_2d_scatter_series(np_row_wise, title="Scatter", series_name="Series",
     series = SeriesInfo(name=series_name, data=np_row_wise, labels=labels)
 
     return create_line_plot(title=title, series=[series], xtitle=xtitle, ytitle=ytitle, mode=mode,
-                            comment=comment, MAX_SIZE=100000)
+                            comment=comment, MAX_SIZE=100000, layout_config=layout_config)
 
 
 def create_3d_scatter_series(np_row_wise, title="Scatter", series_name="Series", xtitle="x", ytitle="y", ztitle="z",
                              mode="lines", color=((217, 217, 217, 0.14),), marker_size=5, line_width=0.8,
-                             labels=None, fill_axis=-1, plotly_obj=None):
+                             labels=None, fill_axis=-1, plotly_obj=None, layout_config=None):
     """
     Create a 3D scatter Plotly graph from a 3 column numpy array
     :param np_row_wise: 3 column numpy data array [(x0,y0,z0), (x1,y1,z1) ...]
@@ -170,6 +181,7 @@ def create_3d_scatter_series(np_row_wise, title="Scatter", series_name="Series",
     :param ztitle: Z-axis title
     :param labels: label (text) per point on the scatter graph
     :param fill_axis: fill area under the curve
+    :param layout_config: additional layout configuration
     :return: Plotly chart dict
     :return:
     """
@@ -198,11 +210,15 @@ def create_3d_scatter_series(np_row_wise, title="Scatter", series_name="Series",
         },
     }
     plotly_obj["data"].append(this_scatter_data)
+
+    if layout_config:
+        plotly_obj["layout"] = merge_dicts(plotly_obj["layout"], layout_config)
+
     return plotly_obj
 
 
 def create_value_matrix(np_value_matrix, title="Heatmap Matrix", xlabels=None, ylabels=None, xtitle="X", ytitle="Y",
-                        custom_colors=True, series=None, comment=None):
+                        custom_colors=True, series=None, comment=None, layout_config=None):
     conf_matrix_plot = {
         "data": [
             {
@@ -231,12 +247,15 @@ def create_value_matrix(np_value_matrix, title="Heatmap Matrix", xlabels=None, y
         conf_matrix_plot["data"][0].update({"colorscale": scale})
         conf_matrix_plot["data"][0].update({"colorbar": bar})
 
+    if layout_config:
+        conf_matrix_plot["layout"] = merge_dicts(conf_matrix_plot["layout"], layout_config)
+
     return conf_matrix_plot
 
 
 def create_3d_surface(np_value_matrix, title="3D Surface", xlabels=None, ylabels=None, xtitle="X", ytitle="Y",
-                      ztitle="Z", custom_colors=True, series=None, camera=None, comment=None):
-    conf_matrix_plot = {
+                      ztitle="Z", custom_colors=True, series=None, camera=None, comment=None, layout_config=None):
+    surface_plot = {
         "data": [
             {
                 "z": np_value_matrix.tolist(),
@@ -278,17 +297,20 @@ def create_3d_surface(np_value_matrix, title="3D Surface", xlabels=None, ylabels
         }
     }
     if camera:
-        conf_matrix_plot['layout']['scene']['camera'] = {"eye": {"x": camera[0], "y": camera[1], "z": camera[2]}}
+        surface_plot['layout']['scene']['camera'] = {"eye": {"x": camera[0], "y": camera[1], "z": camera[2]}}
 
     if custom_colors:
         scale, bar = _get_z_colorbar_data()
-        conf_matrix_plot["data"][0].update({"colorscale": scale})
-        conf_matrix_plot["data"][0].update({"colorbar": bar})
+        surface_plot["data"][0].update({"colorscale": scale})
+        surface_plot["data"][0].update({"colorbar": bar})
 
-    return conf_matrix_plot
+    if layout_config:
+        surface_plot["layout"] = merge_dicts(surface_plot["layout"], layout_config)
+
+    return surface_plot
 
 
-def create_image_plot(image_src, title, width=640, height=480, series=None, comment=None):
+def create_image_plot(image_src, title, width=640, height=480, series=None, comment=None, layout_config=None):
     image_plot = {
         "data": [],
         "layout": {
@@ -315,6 +337,10 @@ def create_image_plot(image_src, title, width=640, height=480, series=None, comm
             "name": series,
         }
     }
+
+    if layout_config:
+        image_plot["layout"] = merge_dicts(image_plot["layout"], layout_config)
+
     return image_plot
 
 
@@ -339,7 +365,7 @@ def _get_z_colorbar_data(z_data=None, values=None, colors=None):
     return colorscale, colorbar
 
 
-def _plotly_hist_dict(title, xtitle, ytitle, mode='group', data=None, comment=None):
+def _plotly_hist_dict(title, xtitle, ytitle, mode='group', data=None, comment=None, layout_config=None):
     """
     Create a basic Plotly chart dictionary
     :param title: Chart title
@@ -348,11 +374,12 @@ def _plotly_hist_dict(title, xtitle, ytitle, mode='group', data=None, comment=No
     :param mode: multiple histograms mode. optionals stack / group / relative. Default is 'group'.
     :param data: Data items
     :type data: list
+    :param layout_config: dict
     :return: Plotly chart dict
     """
     assert mode in ('stack', 'group', 'relative')
 
-    return {
+    plotly_object = {
         "data": data or [],
         "layout": {
             "title": title if not comment else (title + '<br><sup>' + comment + '</sup>'),
@@ -367,6 +394,10 @@ def _plotly_hist_dict(title, xtitle, ytitle, mode='group', data=None, comment=No
             "bargroupgap": 0
         }
     }
+    if layout_config:
+        plotly_object["layout"] = merge_dicts(plotly_object["layout"], layout_config)
+
+    return plotly_object
 
 
 def _np_row_to_plotly_data_item(np_row, label, xlabels=None):
@@ -413,8 +444,8 @@ def _plotly_scatter_layout_dict(title="Scatter", xaxis_title="X", yaxis_title="Y
 
 
 def plotly_scatter3d_layout_dict(title="Scatter", xaxis_title="X", yaxis_title="Y", zaxis_title="Z",
-                                 series=None, show_legend=True, comment=None):
-    return {
+                                 series=None, show_legend=True, comment=None, layout_config=None):
+    plotly_object = {
         "data": [],
         "layout": {
             "showlegend": show_legend,
@@ -428,8 +459,13 @@ def plotly_scatter3d_layout_dict(title="Scatter", xaxis_title="X", yaxis_title="
         }
     }
 
+    if layout_config:
+        plotly_object["layout"] = merge_dicts(plotly_object["layout"], layout_config)
 
-def create_plotly_table(table_plot, title, series):
+    return plotly_object
+
+
+def create_plotly_table(table_plot, title, series, layout_config=None):
     """
     Create a basic Plotly table json style to be sent
 
@@ -439,6 +475,7 @@ def create_plotly_table(table_plot, title, series):
     :type title: str
     :param series: Series (AKA variant)
     :type series: str
+    :param layout_config: additional configuration layout
     """
     if not pd:
         raise UsageError(
@@ -474,4 +511,7 @@ def create_plotly_table(table_plot, title, series):
             "name": series,
         }
     }
+    if layout_config:
+        ret["layout"] = merge_dicts(ret["layout"], layout_config)
+
     return ret