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Stars gained: From May 11, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 11, 2026 to Nov 12, 2026, each from zero0200400May 11Nov 12, 2026nalepae/pandaralleldonnemartin/data-science-ipython-notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day10K20K30KApr 26Nov 12, 2026nalepae/pandaralleldonnemartin/data-science-ipython-notebooks

Facts

Fact nalepae/pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

donnemartin/data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Stars 3,79529,389
Net stars, last 30 days +4+33
Largest star day +1 on Jun 15, 2026+16 on May 20, 2026
Milestone reached in the record NoneNone
Forks 2127,996
Language PythonPython
License BSD-3-CLAUSEOther license
Created Mar 10, 2019Jan 23, 2015
Last push Jul 9, 2024Mar 20, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data0 of 52
In the Repository Index since Nov 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: pandas, python. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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