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Stars gained: From May 12, 2026 to Nov 4, 2026, each from zeroStars gainedFrom May 12, 2026 to Nov 4, 2026, each from zero0200400May 12Nov 4, 2026seung-lab/cloud-volumedonnemartin/data-science-ipython-notebooks
Stars: The star count at the end of each dayStarsThe star count at the end of each day020KApr 26Nov 4, 2026seung-lab/cloud-volumedonnemartin/data-science-ipython-notebooks

Facts

Factseung-lab/cloud-volume

Read and write Neuroglancer datasets programmatically.

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.

Stars17629,383
Net stars, last 30 days+1+39
Largest star day+1 on May 12, 2026+16 on May 20, 2026
Milestone reached in the recordNoneNone
Forks567,999
LanguagePythonPython
LicenseBSD-3-CLAUSEOther license
CreatedJul 25, 2017Jan 23, 2015
Last pushOct 27, 2026Mar 20, 2024
ArchivedNoNo
Health facts: Maintenance2 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: python, numpy, big-data. 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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