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@ -279,6 +279,7 @@ If you would like to be guided through how to contribute to a repository on GitH
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- [datascience](https://github.com/data-8/datascience) _(label: good first issue)_ <br> A Jupyter notebook Python library for introductory data science.
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- [Devopness](https://github.com/devopness/devopness) _(label: good first issue)_ <br> Deploy any software to any cloud: automated DevOps workflows to save software teams time and money.
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- [django cookiecutter](https://github.com/pydanny/cookiecutter-django) _(label: hacktoberfest)_ <br> An implementation of Python for backend web development.
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- [DocsGPT](https://github.com/arc53/DocsGPT) _(label: good first issue)_ <br> Open-source RAG assistant that helps users get reliable answers from knowledge sources while avoiding hallucinations.
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- [Embedchain](https://github.com/embedchain/embedchain/) _(label: good first issue)_ <br> Embedchain is a framework to easily create LLM powered bots over any dataset.
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- [Fabric](https://github.com/fabric/fabric) _(label: Low-hanging-fruit)_ <br> Pythonic remote execution and deployment.
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- [FastAPI](https://github.com/tiangolo/fastapi) _(label: good first issue)_ <br> A modern, fast (high-performance) web framework for building APIs with Python 3.6+ based on standard Python type hints.
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- [Berry - Active development trunk for Yarn](https://github.com/yarnpkg/berry) _(label: good first issue)_ <br> Fast, reliable, and secure dependency management.
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- [Booster](https://github.com/boostercloud/booster) _(label: good first issue)_ <br> A truly serverless framework, write your code and deploy it in seconds without any server configuration files.
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- [Devopness](https://github.com/devopness/devopness) _(label: good first issue)_ <br> Deploy any software to any cloud: automated DevOps workflows to save software teams time and money.
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- [DocsGPT](https://github.com/arc53/DocsGPT) _(label: good first issue)_ <br> Open-source RAG assistant that helps users get reliable answers from knowledge sources while avoiding hallucinations.
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- [Graphback](https://github.com/aerogear/graphback) _(label: good first issue)_ <br> A CLI and runtime framework to generate a GraphQL API in seconds.
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- [H2O Wave](https://github.com/h2oai/wave) _(label: good first issue)_ <br> Realtime Web Apps and Dashboards framework for Python and R. Suited (not only) for AI audience.
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- [Hasura GraphQL Engine](https://github.com/hasura/graphql-engine) _(label: good first issue)_ <br> Blazing fast, instant realtime GraphQL APIs on Postgres with fine grained access control, also trigger webhooks on database events.
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