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7 Open Source Projects Every Data Scientist/Analyst Needs to Bookmark ๐Ÿš€โ€‚by@azizepalali

7 Open Source Projects Every Data Scientist/Analyst Needs to Bookmark ๐Ÿš€

by Azize Sultan PalaliJanuary 24th, 2025
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Data analysts rely on tools and platforms just as crucial to our daily workflows. Iโ€™ve put together a list of open-source projects that can speed up your workflows, simplify your data processes, and maybe even spark new ideas. Youโ€™ll find both popular tools and some lesser-known gems with big potential.
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While reading @madzadev โ€˜s article "9 Open Source Projects Every Developer Needs to Bookmark for Their Workflow", I realized how useful it would be to create a similar list specifically for data scientists/analysts. Inspired by that idea, Iโ€™ve put together a list of open-source projects designed to make our workflows faster, data processes smoother, and maybe even spark some fresh ideas. This list includes both well-known tools and a few hidden gems that have big potential.


I hope you may find something thatโ€™s helpful and inspiring for you. Leeetโ€™s dive in! ๐Ÿš€๐Ÿš€

1. Streamlit - Interactive Dashboards ๐Ÿ

Streamlit is an open-source Python library for creating interactive web-based data applications quickly and easily. Thanks to their community, you can also use templates or ask your questions.


๐Ÿ‘จโ€๐Ÿ’ป GitHub Repository: Streamlit Repository

๐ŸŒ Website: https://streamlit.io/


2. Superset - Data Visualization and Exploration ๐Ÿ“ˆ


Apache Superset is an open-source, highly customizable bi-tool ideal for us, offering SQL-based exploration and integration with various databases, but requires more technical expertise. In contrast, tableau, powerbi, and Data Studio provide user-friendly interfaces, advanced analytics, and ready-to-use features for non-technical users, though they come with licensing costs (except Data Studio, which is free ๐Ÿ’ฐ )


๐Ÿ‘จโ€๐Ÿ’ป GitHub Repository: Superset Repository

๐ŸŒ Website: https://superset.apache.org/



3. DVC - Versioning for ML Projects ๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป

DVC brings git-like functionality to datasets and machine learning models, making projects more reproducible and manageable. They also have a perfect technical guide and community for themselves.


๐Ÿ‘จโ€๐Ÿ’ป GitHub Repository: DVC Repository

๐ŸŒ Website: https://dvc.org/


4. Great Expectations - Data Validation and Documentation ๐Ÿ“ƒ


Great Expectations is your go-to tool for making sure your data is clean, reliable, and ready to use. It automates data validation with customizable tests, so you can catch issues before they become problems. If you care about data quality and trust in your analysis, this tool is a game changer.


๐Ÿ‘จโ€๐Ÿ’ป GitHub Repository: Great Expectations Repository

๐ŸŒ Website: https://greatexpectations.io/


5. Dask - Parallel Computing With Python ๐Ÿ


Dask is like Pandas and Numpy on steroids, built for handling massive datasets that donโ€™t fit in memory. Itโ€™s perfect for scaling your data tasks, whether youโ€™re working on your laptop or a big cluster. If you need speed and power without learning a whole new tool, Dask has got you covered.


๐Ÿ‘จโ€๐Ÿ’ป GitHub Repository: Dask Repository

๐ŸŒ Website: https://www.dask.org/


6. Haystack โ€“ Build Search Systems With NLP ๐Ÿ”

Haystack is your go-to tool for creating intelligent search and question-answering systems. It lets you connect LLMs and other NLP models to your own data, making it perfect for building domain-specific applications. Whether itโ€™s semantic search or document retrieval, Haystack gives you the tools to get it done efficiently.


๐Ÿ‘จโ€๐Ÿ’ป GitHub Repository: Haystack Repository

๐ŸŒ Website: https://haystack.deepset.ai/



7. Logseq - Open Source Knowledge Management ๐Ÿ“š


Logseq is an open-source tool that feels like a digital brain for organizing your notes, tasks, and ideas. Itโ€™s built around a clean outliner and bi-directional linking, making it perfect for connecting thoughts and tracking your workflows. If you love structure and flexibility in your knowledge management, Logseq is a must-try.


๐Ÿ‘จโ€๐Ÿ’ปGitHub Repository: Logseq Repository

๐ŸŒ Website: https://logseq.com/


Thank you for your time; sharing is caring! ๐ŸŒ