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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero02KApr 26Nov 4, 2026ranaroussi/yfinancedonnemartin/data-science-ipython-notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day25K27.5KApr 26Nov 4, 2026ranaroussi/yfinancedonnemartin/data-science-ipython-notebooks

Facts

Factranaroussi/yfinance

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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.

Stars25,81829,383
Net stars, last 30 days+401+39
Largest star day+56 on Oct 28, 2026+16 on May 20, 2026
Milestone reached in the record25,000 on Aug 26, 2026None
Forks3,4797,999
LanguagePythonPython
LicenseAPACHE-2.0Other license
CreatedMay 21, 2017Jan 23, 2015
Last pushNov 3, 2026Mar 20, 2024
ArchivedNoNo
Health facts: Maintenance4 of 4 checks1 of 4 checks
Health facts: Releases3 of 3 checks0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check0 of 1 check
Health facts: Community files3 of 3 checks1 of 3 checks
Commits, last 13 weeks920
Weeks with commits, last 5247 of 520 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: python, pandas. 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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