Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Learn how to develop, deploy and iterate on production-grade ML applications.
Best matched with other platform tools.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Best matched with other platform tools.
Made With ML has the larger GitHub footprint with 49.4K stars.
Made With ML is currently growing faster at +81 stars this week.
BentoML has the stronger automated maintenance signal at 51/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Made With ML | BentoML |
|---|---|---|
| Evidence status | Basic listing· 1d ago | Basic listing· 1d ago |
| GitHub stars | 49.4K | 8.6K |
| Weekly growth | +81 | +13 |
| Health score | Watch44/100 |
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| Contributors | 1 | 236 |
|---|
| Commits per week | 0.0 | 2.5 |
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| Open issues | 25 | 142 |
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| Language | Jupyter Notebook | Python |
|---|
| License | MIT | Apache-2.0 |
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| Last commit | 6mo ago | 4mo ago |
|---|
| Last release | v1.1.0 | v1.4.39 |
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