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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero0500Apr 26Nov 3, 2026donnemartin/data-science-ipython-notebookshuggingface/datasets
Stars: The star count at the end of each dayStarsThe star count at the end of each day25K30KApr 26Nov 3, 2026donnemartin/data-science-ipython-notebookshuggingface/datasets

Facts

Factdonnemartin/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.

huggingface/datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Stars29,38722,110
Net stars, last 30 days+45+97
Largest star day+16 on May 20, 2026+21 on Sep 6, 2026
Milestone reached in the recordNoneNone
Forks7,9993,601
LanguagePythonPython
LicenseOther licenseAPACHE-2.0
CreatedJan 23, 2015Mar 26, 2020
Last pushMar 20, 2024Oct 30, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks4 of 4 checks
Health facts: Releases0 of 3 checks (1 without data)2 of 3 checks
Health facts: Security practice0 of 1 check1 of 1 check
Health facts: Community files1 of 3 checks3 of 3 checks
Commits, last 13 weeks074
Weeks with commits, last 520 of 5245 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning, deep-learning, tensorflow, pandas, numpy. 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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