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title: What is ClearML?
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---
ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions
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for thousands of data science teams all over the world.
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It is designed as an end-to-end MLOps suite allowing you to focus on developing your ML code & automation,
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while ClearML ensures your work is reproducible and scalable.
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## Getting Started
### Video Tutorials
We have a video series where you can learn all the ClearML basics!
[](https://www.youtube.com/watch?v=s3k9ntmQmD4& list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO& index=1)
### Interactive Tutorials
Try out ClearML with these interactive Google Colab notebooks:
* [Step 1 ](https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb ) - Experiment management
* [Step 2 ](https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb ) - Remote agent
* [Step 3 ](https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb ) - Remote task execution
### Read a Little More
Want a more in depth introduction to ClearML? Choose where you want to get started:
* **Data Scientists** start [here ](ds/ds_first_steps.md ) - learn how to use ClearML's
experiment tracking and management tools, and more!
* **MLOps Engineers** start [here ](mlops/mlops_first_steps.md ) - learn how to use ClearML's
automation, orchestration, and tracking tools
* **DevOps Engineers** start [here ](../deploying_clearml/clearml_server.md#deployment ) - learn how
to deploy and configure a ClearML Server
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## What Can You Do with ClearML?
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- [Track and upload ](../fundamentals/task.md ) metrics and models with only 2 lines of code
- [Reproduce ](../webapp/webapp_exp_reproducing.md ) experiments with 3 mouse clicks
- [Create bots ](../guides/services/slack_alerts.md ) that send you Slack messages based on experiment behavior (for example,
alert you whenever your model improves in accuracy)
- Manage your [data ](../clearml_data/clearml_data.md ) - store, track, and version control
- Remotely execute experiments on any compute resource you have available with [ClearML Agent ](../clearml_agent.md )
- Automatically scale cloud instances according to your resource needs with ClearML's [GPU Compute ](../webapp/applications/apps_gpu_compute.md ),
[AWS Autoscaler ](../webapp/applications/apps_aws_autoscaler.md ), and [GCP Autoscaler ](../webapp/applications/apps_gcp_autoscaler.md )
GUI applications
- Run [hyperparameter optimization ](../fundamentals/hpo.md )
- Build [pipelines ](../pipelines/pipelines.md ) from code
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- Much more!
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## Who We Are
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ClearML is supported by you :heart: and the [clear.ml ](https://clear.ml ) team, which helps enterprise companies build scalable MLOps.
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Join the ClearML community! Your contributions, questions, and input are always welcome. For more information, see [Community Resources ](../community.md ).
