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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 and LLMOps 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
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### Friendly Tutorials to Get You Started
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< td > < a href = "https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb" > < b > Step 1< / b > < / a > - Experiment Management< / td >
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< td className = "align-center" > < a className = "no-ext-icon" target = "_blank" href = "https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_1_Experiment_Management.ipynb" >
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< img src = "https://colab.research.google.com/assets/colab-badge.svg" alt = "Open In Colab" / >
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< td > < a href = "https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb" > < b > Step 2< / b > < / a > - Remote Execution Agent Setup< / td >
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< td className = "align-center" > < a className = "no-ext-icon" target = "_blank" href = "https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_2_Setting_Up_Agent.ipynb" >
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< img src = "https://colab.research.google.com/assets/colab-badge.svg" alt = "Open In Colab" / >
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< td > < a href = "https://github.com/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb" > < b > Step 3< / b > < / a > - Remotely Execute Tasks< / td >
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< td className = "align-center" > < a className = "no-ext-icon" target = "_blank" href = "https://colab.research.google.com/github/allegroai/clearml/blob/master/docs/tutorials/Getting_Started_3_Remote_Execution.ipynb" >
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< img src = "https://colab.research.google.com/assets/colab-badge.svg" alt = "Open In Colab" / >
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### Read a Little More
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![Architecture diagram ](../img/clearml_architecture.png )
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Want a more in depth introduction to ClearML? Choose where you want to get started:
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< img src = "/docs/latest/icons/ico-data-scientist.svg" alt = "Data scientist logo" / >
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< h4 > Data Scientists< / h4 >
< p > Learn how to use ClearML's experiment tracking and management tools, and more!< / p >
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< a href = "getting_started/ds/ds_first_steps" > START HERE< / a >
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< img src = "/docs/latest/icons/ico-mlops-engineer.svg" alt = "MLOps engineer logo" / >
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< h4 > MLOps and LLMOps Engineers< / h4 >
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< p > Learn how to use ClearML's automation, orchestration, and tracking tools< / p >
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< a href = "getting_started/mlops/mlops_first_steps" > START HERE< / a >
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< img src = "/docs/latest/icons/ico-devops-engineer.svg" alt = "DevOps Engineer logo" / >
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< h4 > DevOps Engineers< / h4 >
< p > Learn learn how to deploy and configure a ClearML Server< / p >
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< a href = "./deploying_clearml/clearml_server#deployment" > START HERE< / a >
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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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![Webapp gif ](../img/gif/webapp_screenshots.gif )
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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/LLMOps.
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Join the ClearML community! Your contributions, questions, and input are always welcome. For more information, see [Community Resources ](../community.md ).