Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Superset | 60,768 | 21 | 2 months ago | 6 | April 18, 2023 | 1,764 | apache-2.0 | TypeScript | ||
Apache Superset is a Data Visualization and Data Exploration Platform | ||||||||||
Scikit Learn | 57,160 | 18,944 | 11,480 | 8 months ago | 73 | October 23, 2023 | 2,295 | bsd-3-clause | Python | |
scikit-learn: machine learning in Python | ||||||||||
Pandas | 43,164 | 38,392 | 36,464 | 9 days ago | 122 | December 08, 2023 | 3,661 | bsd-3-clause | Python | |
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more | ||||||||||
Streamlit | 29,794 | 17 | 1,228 | 8 months ago | 212 | November 30, 2023 | 712 | apache-2.0 | Python | |
Streamlit — A faster way to build and share data apps. | ||||||||||
Ai Expert Roadmap | 27,583 | 8 months ago | 17 | mit | JavaScript | |||||
Roadmap to becoming an Artificial Intelligence Expert in 2022 | ||||||||||
Gradio | 25,823 | 1 | 229 | 8 months ago | 534 | December 05, 2023 | 452 | apache-2.0 | Python | |
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! | ||||||||||
Data Science For Beginners | 25,362 | 8 months ago | 50 | mit | Jupyter Notebook | |||||
10 Weeks, 20 Lessons, Data Science for All! | ||||||||||
Best Of Ml Python | 14,990 | 8 months ago | 21 | cc-by-sa-4.0 | ||||||
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. | ||||||||||
Ydata Profiling | 12,323 | 80 | 116 | a month ago | 40 | February 03, 2023 | 221 | mit | Python | |
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. | ||||||||||
Openrefine | 10,106 | 1 | 8 months ago | 10 | April 05, 2023 | 639 | bsd-3-clause | Java | ||
OpenRefine is a free, open source power tool for working with messy data and improving it |