eriklindernoren/ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

33k stars · 5.5k forks · Python

At risk

At risk: no human commits in a year.

Why

No human commits since October 2019. (source 1, source 2, source 3, source 4)
One person wrote 91% 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.
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: Oct 18, 2019 (6 years ago)
Last human commit: Oct 18, 2019 (6 years ago)
Authors, 90 days: 0
Last release: none found
Median PR merge time: 3 days

Responsiveness: of 4 recent issues, n/a got a maintainer reply. Median first response: n/a.

Only 4 recent issues can be checked for a response, too few to measure response time.
37 pull requests are open and nobody has committed in a year.

Sources: Commits, Releases, Merged pull requests, Issues

People

Complete

Owner: Personal account
Commits sampled: 100 since Aug 18, 2017
Authors for half of commits: 1
Authors for 80% of commits: 1
Contributors: 6

Top committers

eriklindernoren: 91% of commits
Qi, Bob: 2% of commits
cclauss: 1% of commits
DandilionLau: 1% of commits
daviddwlee84: 1% of commits

No human commits in the last 365 days, so shares use the newest 100 commits back to 2017-08-18T12:56:40Z.

Sources: Commits, Contributors

Stars

Complete

Mostly organic, confidence high

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

Bursts

Sep 13, 2017 to Sep 22, 2017: about 644 more stars than usual, peak 220 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
Aug 28, 2018 to Sep 11, 2018: about 1.1k more stars than usual, peak 312 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
Apr 28, 2019 to Apr 29, 2019: about 52 more stars than usual, peak 36 in one day, a spike that tapers off. Outside explanation: a jump in forks.
Aug 27, 2019 to Sep 3, 2019: about 864 more stars than usual, peak 252 in one day, a spike that tapers off. Outside explanation: a jump in forks.
Oct 26, 2019 to Oct 30, 2019: about 171 more stars than usual, peak 72 in one day, a shape we can't classify. Outside explanation: a jump in forks.
Dec 17, 2019 to Jan 2, 2020: about 794 more stars than usual, peak 167 in one day, a shape we can't classify. Outside explanation: a jump in forks, a jump in issues and pull requests.
Feb 11, 2020 to Feb 12, 2020: about 81 more stars than usual, peak 66 in one day, a spike that tapers off. Outside explanation: a jump in forks.
May 27, 2020 to May 31, 2020: about 204 more stars than usual, peak 79 in one day, a shape we can't classify. Outside explanation: a jump in forks.
Sep 1, 2020 to Sep 2, 2020: about 52 more stars than usual, peak 41 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Oct 6, 2020 to Oct 16, 2020: about 1.2k more stars than usual, peak 358 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
Feb 13, 2021 to Feb 17, 2021: about 520 more stars than usual, peak 159 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
Nov 21, 2021 to Nov 23, 2021: about 114 more stars than usual, peak 82 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Nov 13, 2023 to Nov 15, 2023: about 52 more stars than usual, peak 29 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Dec 18, 2023 to Dec 19, 2023: about 105 more stars than usual, peak 96 in one day, a spike that tapers off. We couldn't check for an outside explanation.
May 29, 2024 to May 31, 2024: about 98 more stars than usual, peak 56 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Jun 23, 2025 to Jul 14, 2025: about 1.9k more stars than usual, peak 403 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
Sep 3, 2025 to Sep 9, 2025: about 614 more stars than usual, peak 319 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Nov 20, 2025 to Nov 23, 2025: about 91 more stars than usual, peak 53 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Dec 1, 2025 to Dec 1, 2025: about 82 more stars than usual, peak 98 in one day, a spike that tapers off. We couldn't check for an outside explanation.
May 30, 2026 to Jun 2, 2026: about 241 more stars than usual, peak 173 in one day, a spike that tapers off. We couldn't check for an outside explanation.
Jul 10, 2026 to Jul 15, 2026: about 245 more stars than usual, peak 93 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
Sep 3, 2026 to Sep 9, 2026: about 205 more stars than usual, peak 59 in one day, a shape we can't classify. We couldn't check for an outside explanation.

1 stars GitHub has since removed (tracked since Oct 14, 2026).

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

Some star bursts have no matching forks, issues, releases, or launch coverage.
Anyone can buy stars for any repo, so this describes the star history only.

Sources: How star history is analyzed

Risk

Complete

Flags

Info: The OpenSSF Scorecard for this project is 2.3 out of 10 (deps.dev). Details

License

Now: MIT (OSI-approved)
A year ago: MIT (OSI-approved)

Packages

mlfromscratch (PYPI): latest 0.0.4, published Jun 17, 2017
Advisories for the latest version: none listed

Package and advisory data: deps.dev and OSV.

OpenSSF Scorecard: 2.3 out of 10 (via deps.dev).

Sources: GitHub: eriklindernoren/ML-From-Scratch, deps.dev: PyPI mlfromscratch

Badge

Add this to a README to show the current verdict:

[![RepoRadar](https://reporadar.ai/eriklindernoren/ML-From-Scratch/badge.svg)](https://reporadar.ai/eriklindernoren/ML-From-Scratch)

Earlier verdicts

Oct 14, 2026: At risk
Oct 14, 2026: At risk

Computed 12 hours ago · method 2026.10.2