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on Twitter](https://img.shields.io/twitter/follow/TheRealDAGsHub.svg?style=social)](https://twitter.com/TheRealDAGsHub)\n\n# What is DagsHub?\n**DagsHub** is a platform where machine learning and data science teams can build, manage, and collaborate on their projects.\nWith DagsHub you can:\n1. **Version code, data, and models** in one place. Use the free provided DagsHub storage or connect it to your cloud storage\n2. **Track Experiments** using Git, DVC or MLflow, to provide a fully reproducible environment\n3. **Visualize** pipelines, data, and notebooks in and interactive, diff-able, and dynamic way\n4. **Label** your data directly on the platform using Label Studio\n5. **Share** your work with your team members\n6. **Stream and upload** your data in an intuitive and easy way, while preserving versioning and structure.\n\nDagsHub is built firmly around open, standard formats for your project. In particular:\n* Git\n* [DVC](https://github.com/iterative/dvc)\n* [MLflow](https://github.com/mlflow/mlflow)\n* [Label Studio](https://github.com/heartexlabs/label-studio)\n* Standard data formats like YAML, JSON, CSV\n\nTherefore, you can work with DagsHub regardless of your chosen programming language or frameworks.\n\n# DagsHub Client API \u0026 CLI\n\n__This client library is meant to help you get started quickly with DagsHub__. It is made up of Experiment tracking and\nDirect Data Access (DDA), a component to let you stream and upload your data.\n\nFor more details on the different functions of the client, check out the docs segments:\n1. [Installation \u0026 Setup](https://github.com/DagsHub/client/blob/master/docs/index.md#installation-and-setup)\n2. [Data Streaming](https://github.com/DagsHub/client/blob/master/docs/index.md#data-streaming)\n3. [Data Upload](https://github.com/DagsHub/client/blob/master/docs/index.md#data-upload)\n4. [Experiment Tracking](https://github.com/DagsHub/client/blob/master/docs/index.md#experiment-tracking-logger)\n    1. [Autologging](https://github.com/DagsHub/client/blob/master/docs/index.md#autologging-integrations-with-ml-frameworks)\n5. [Data Engine](https://github.com/DagsHub/client/blob/master/docs/data_engine.md)\n\nSome functionality is supported only in Python.\n\nTo read about some of the awesome use cases for Direct Data Access, check out\nthe [relevant doc page](https://dagshub.com/docs/feature_guide/direct_data_access/#use-cases).\n\n## Installation\n```bash\npip install dagshub\n```\n\nDirect Data Access (DDA) functionality requires authentication, which you can easily do by running the following command\nin your terminal:\n```bash\ndagshub login\n```\n\n## Quickstart for Data Streaming\nThe easiest way to start using DagsHub is via the Python Hooks method. To do this:\n1. Your DagsHub project,\n2. Copy the following 2 lines of code into your Python code which accesses your data:\n    ```python\n    from dagshub.streaming import install_hooks\n    install_hooks()\n    ```\n3. That’s it! You now have streaming access to all your project files.\n\n**🤩 Check out this colab to see an example of this Data Streaming work end to end:**\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1CtBmcDtZnxZKVIhNvPagX-8UFWHZ5HAg?usp=sharing)\n\n## Next Steps\nYou can dive into the expanded [documentation](docs/index.md), to learn more about data streaming, data upload and\nexperiment tracking with DagsHub\n\n---\n\n\n### Analytics\nTo improve your experience, we collect analytics on client usage. If you want to disable analytics collection,\nset the `DAGSHUB_DISABLE_ANALYTICS` environment variable to any value.\n\nMade with 🐶 by [DagsHub](https://dagshub.com/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdagshub%2Fclient","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdagshub%2Fclient","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdagshub%2Fclient/lists"}