clearml-docs/docs/integrations/libraries.md

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---
title: Libraries
---
ClearML integrates with many frameworks and tools out of the box! <br/>
Just follow the [getting started](/getting_started/ds/ds_first_steps.md) to automatically capture metrics, models and artifacts or check out examples for each library.
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![image](../img/integration_tools.png)
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**Frameworks**
- [Pytorch](https://github.com/allegroai/clearml/tree/master/examples/frameworks/pytorch)
- [pytorch-lightning](https://github.com/allegroai/clearml/tree/master/examples/frameworks/pytorch-lightning)
- [ignite](https://github.com/allegroai/clearml/tree/master/examples/frameworks/ignite)
- [Tensorflow](https://github.com/allegroai/clearml/tree/master/examples/frameworks/tensorflow)
- [Keras](https://github.com/allegroai/clearml/tree/master/examples/frameworks/keras)
- [scikit-learn](https://github.com/allegroai/clearml/tree/master/examples/frameworks/scikit-learn)
- [fastai](https://github.com/allegroai/clearml/tree/master/examples/frameworks/fastai)
- [lightgbm](https://github.com/allegroai/clearml/tree/master/examples/frameworks/lightgbm)
- [XGBoost](https://github.com/allegroai/clearml/tree/master/examples/frameworks/xgboost)
- [Hydra](https://github.com/allegroai/clearml/tree/master/examples/frameworks/hydra)
**HPO**
- [Optuna](https://github.com/allegroai/clearml/tree/master/examples/optimization/hyper-parameter-optimization)
- [Keras Tuner](https://github.com/allegroai/clearml/tree/master/examples/frameworks/kerastuner)
- [AutoKeras](https://github.com/allegroai/clearml/tree/master/examples/frameworks/autokeras)
**Plotting**
- [Tensorboard](https://github.com/allegroai/clearml/blob/master/examples/frameworks/tensorflow/tensorboard_toy.py)
- [TensorboardX](https://github.com/allegroai/clearml/tree/master/examples/frameworks/tensorboardx)
- [matplotlib](https://github.com/allegroai/clearml/tree/master/examples/frameworks/matplotlib)