STACKQUADRANT

GokuMohandas/Made-With-ML

AI DevOps

Learn how to design, develop, deploy and iterate on production-grade ML applications.

6.6
GitHub Metrics
Stars
49.8k
Forks
7.8k
Open Issues
25
Watchers
1.3k
Contributors
1
Weekly Commits
0
Language
Jupyter Notebook
License
MIT
Last Commit
Mar 5, 2026
Created
Nov 5, 2018
Latest Release
v1.1.0
Release Date
Mar 5, 2026
Synced: Oct 18, 2026
Quality Scores
Documentation Qualityw: 20%
6.7

Has docs site (https://madewithml.com). Description: 85 chars. Stars signal: 49,756. Contributors: 1. Score: 6.7/10

Community Healthw: 20%
7.0

Stars: 49,756. Contributors: 1. Watchers: 1272. Forks: 7,806. Issue ratio: 0.1%. Score: 7/10

Maintenance Velocityw: 15%
3.5

Last commit: 227d ago. Weekly commits: 0. Latest release: v1.1.0. Maturity bonus: 8.0y old. Score: 3.5/10

API Design & DXw: 20%
8.3

Stars/issues ratio: 1990. Has documentation site. Permissive license: MIT. Popularity signal: 49,756 stars. Score: 8.3/10

Production Readinessw: 15%
5.6

Battle-tested: 49,756 stars. Peer review: 1 contributors. Versioned: v1.1.0. Licensed: MIT. Age: 8.0 years. Maintenance: last commit 227d ago. Score: 5.6/10

Ecosystem Integrationw: 10%
8.4

Fork interest: 7,806. Ecosystem: Jupyter Notebook. Integration-friendly: MIT. Adoption: 49,756 stars. Has web presence. Score: 8.4/10

Tags
data-engineeringdata-qualitydata-sciencedeep-learningdistributed-mldistributed-trainingllmsmachine-learningmlopsnatural-language-processing
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration