Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)
Jina AI vs litellm
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Jina AI (Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)) and litellm both appear on the Smoower Developer Ecosystem Index.
Jina AI (rank #190) holds a meaningful lead over litellm (rank #1114) on the overall Smoower ecosystem score (50 vs 7). The gap of 43 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Jina AI is clearly ahead of litellm. On education (docs, guides and learning material for developers), Jina AI is clearly ahead of litellm. On community (issue response, PR reviews and discussion health), Jina AI is clearly ahead of litellm. On reach (how visible the ecosystem is beyond its own repos), Jina AI is ahead of litellm. On momentum (release cadence and how fast the ecosystem moves), Jina AI is clearly ahead of litellm.
Jina AI carries 72,580 GitHub stars across 266 public repos, with 13 repositories active in the last 90 days and 8 external contributors on record. litellm shows 0 stars across 0 public repos, 0 active in the last 90 days and 0 external contributors.
Jina AI is the stronger read for anyone weighting code quality. litellm makes more sense for teams already using its adjacent tools. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | Jina AI | litellm |
|---|---|---|
| Ranking | ||
| Overall rank | #190 | #1114 |
| Pillars | ||
| Overall | 50 | 7 |
| Code | 61 | 0 |
| Education | 57 | 0 |
| Community | 41 | 0 |
| Reach | 58 | 40 |
| Momentum | 26 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 72,580 | 0 |
| Forks | 7,652 | 0 |
| Public repos | 266 | 0 |
| Active repos (90d) | 13 | 0 |
| External contributors | 8 | 0 |
| Avg polish | 63 | 0 |
| Avg AI-readiness | 47 | 0 |