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.

29.4k stars · 8k forks · Python

Avoid

Avoid: no human commits in a year, and most questions go unanswered.

Why

No human commits since February 2019, and only 0 of 6 recent issues got a maintainer reply. (source 1, source 2, source 3, source 4)
One person wrote 87% of human commits in the last year, and no human has committed in the last 90 days. (source 1, source 2)

What would change this

A release or merged commit from a maintainer, or replies to recent issues.
A human commit in the last 90 days, or a second person taking a large share of commits.

Maintenance

Complete

Dormant

Human commits, 30 days: 0
Human commits, 90 days: 0
Human commits, 365 days: 0
Bot share of commits, 365 days: 0%
Last commit: Feb 11, 2019 (7 years ago)
Last human commit: Feb 11, 2019 (7 years ago)
Authors, 90 days: 0
Last release: none found
Median PR merge time: under an hour

Responsiveness: of 6 recent issues, 0% got a maintainer reply. Median first response: n/a.

No human commits in 365 days, and most issues go unanswered.

Sources: Commits, Releases, Merged pull requests, Issues

People

Complete

Owner: Personal account
Commits sampled: 100 since Dec 27, 2015
Authors for half of commits: 1
Authors for 80% of commits: 1
Contributors: 12

Top committers

donnemartin: 87% of commits
amarrella: 2% of commits
AnishShah: 2% of commits
besirkurtulmus: 2% of commits
greninja: 1% of commits

No human commits in the last 365 days, so shares use the newest 100 commits back to 2015-12-27T12:22:58Z.

Sources: Commits, Contributors

Stars

Complete

Organic, confidence high

Bars show stars gained each week. Orange bars overlap a burst.

Bursts

Jun 6, 2015 to Jul 10, 2015: about 1.4k more stars than usual, peak 117 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
Dec 28, 2015 to Jan 20, 2016: about 2k more stars than usual, peak 520 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks, a jump in issues and pull requests.
Mar 13, 2017 to Mar 23, 2017: about 893 more stars than usual, peak 231 in one day, a spike that tapers off. Outside explanation: a jump in forks.
Nov 19, 2017 to Nov 21, 2017: about 67 more stars than usual, peak 47 in one day, a spike that tapers off. Outside explanation: a jump in forks.
Sep 6, 2019 to Sep 11, 2019: about 372 more stars than usual, peak 127 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Oct 20, 2019 to Oct 23, 2019: about 162 more stars than usual, peak 55 in one day, a flat block of stars. We couldn't check for an outside explanation.
Jun 26, 2020 to Jun 29, 2020: about 183 more stars than usual, peak 86 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Mar 29, 2021 to Apr 2, 2021: about 367 more stars than usual, peak 135 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
Dec 6, 2021 to Dec 7, 2021: about 83 more stars than usual, peak 66 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Jan 7, 2022 to Jan 10, 2022: about 95 more stars than usual, peak 52 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Apr 4, 2022 to Apr 9, 2022: about 169 more stars than usual, peak 77 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Sep 21, 2022 to Sep 25, 2022: about 178 more stars than usual, peak 96 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Jul 11, 2024 to Jul 14, 2024: about 116 more stars than usual, peak 58 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Oct 10, 2024 to Oct 11, 2024: about 54 more stars than usual, peak 47 in one day, a spike that tapers off. We couldn't check for an outside explanation.

Anyone can buy stars for any repo; bursts alone don't prove the owner did.

The star history looks organic.

Sources: How star history is analyzed

Risk

Complete

Flags

No risk flags.

License

Now: Apache-2.0 (OSI-approved)
A year ago: Apache-2.0 (OSI-approved)

Packages

No published packages found.

Sources: GitHub: donnemartin/data-science-ipython-notebooks

Badge

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Earlier verdicts

Oct 14, 2026: Avoid
Oct 14, 2026: Avoid

Computed 10 hours ago · method 2026.10.2