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Stars gained: From May 10, 2026 to Nov 3, 2026, each from zeroStars gainedFrom May 10, 2026 to Nov 3, 2026, each from zero0200400May 10Nov 3, 2026tensorflow/model-card-toolkitdonnemartin/data-science-ipython-notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day020KApr 26Nov 3, 2026tensorflow/model-card-toolkitdonnemartin/data-science-ipython-notebooks

Facts

Facttensorflow/model-card-toolkit

A toolkit that streamlines and automates the generation of model cards

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.

Stars45029,387
Net stars, last 30 days-1+45
Largest star day+2 on May 10, 2026+16 on May 20, 2026
Milestone reached in the recordNoneNone
Forks887,999
LanguagePythonPython
LicenseAPACHE-2.0Other license
CreatedJul 24, 2020Jan 23, 2015
Last pushJul 26, 2023Mar 20, 2024
ArchivedYesNo
Health facts: Maintenance0 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeksNo data0
Weeks with commits, last 52No data0 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

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