Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)
Jina AI vs sgl-project
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Jina AI (Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)) and sgl-project both appear on the Smoower Developer Ecosystem Index.
Jina AI (rank #189) holds a narrow lead over sgl-project (rank #278) on the overall Smoower ecosystem score (50 vs 46). The gap of 4 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Jina AI is slightly ahead of sgl-project. On education (docs, guides and learning material for developers), sgl-project is ahead of Jina AI. On community (issue response, PR reviews and discussion health), sgl-project is clearly ahead of Jina AI. On reach (how visible the ecosystem is beyond its own repos), Jina AI is clearly ahead of sgl-project. On momentum (release cadence and how fast the ecosystem moves), sgl-project is ahead of Jina AI.
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. sgl-project shows 38,333 stars across 26 public repos, 20 active in the last 90 days and 349 external contributors.
Jina AI is the stronger read for anyone weighting reach. sgl-project looks better where community is the deciding factor. 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 | sgl-project |
|---|---|---|
| Ranking | ||
| Overall rank | #189 | #278 |
| Pillars | ||
| Overall | 50 | 46 |
| Code | 61 | 55 |
| Education | 57 | 74 |
| Community | 41 | 80 |
| Reach | 58 | 8 |
| Momentum | 26 | 40 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 72,580 | 38,333 |
| Forks | 7,652 | 8,904 |
| Public repos | 266 | 26 |
| Active repos (90d) | 13 | 20 |
| External contributors | 8 | 349 |
| Avg polish | 63 | 55 |
| Avg AI-readiness | 47 | 47 |