← Back to Leaderboard
Project comparison
Label Studio vs Awesome Production Machine Learning
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Label Studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Best matched with other platform tools.
27.3K
Stars
+70
Weekly
74/100
Health
Awesome Production Machine Learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Best matched with other platform tools.
20.8K
Stars
+289
Weekly
54/100
Health
Quick Take
Adoption
Label Studio has the larger GitHub footprint with 27.3K stars.
Momentum
Awesome Production Machine Learning is currently growing faster at +289 stars this week.
Maintenance
Label Studio has the stronger automated maintenance signal at 74/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Label Studio | Awesome Production Machine Learning |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Basic listing· 2026-10-04 09:18 UTC |
| GitHub stars | 27.3K | 20.8K |
| Weekly growth | +70 | +289 |
| Health score | Healthy74/100 | Watch54/100 |
| Contributors | 156 | 210 |
| Commits per week | 21.2 | 1.5 |
| Open issues | 883 | 31 |
| Language | TypeScript | N/A |
| License | Apache-2.0 | MIT |
| Last commit | 2026-05-12 00:26 UTC | 2026-07-14 20:54 UTC |
| Last release | 1.23.0 | release-2026-07-01 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.