Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)
Eli-Lilly vs Jina AI
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Eli-Lilly and Jina AI (Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)) both appear on the Smoower Developer Ecosystem Index.
Jina AI (rank #190) holds a meaningful lead over Eli-Lilly (rank #1095) on the overall Smoower ecosystem score (50 vs 10). The gap of 40 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 Eli-Lilly. On education (docs, guides and learning material for developers), Jina AI is clearly ahead of Eli-Lilly. On community (issue response, PR reviews and discussion health), Jina AI is clearly ahead of Eli-Lilly. On reach (how visible the ecosystem is beyond its own repos), Jina AI is ahead of Eli-Lilly. On momentum (release cadence and how fast the ecosystem moves), Jina AI is clearly ahead of Eli-Lilly.
Eli-Lilly carries 0 GitHub stars across 0 public repos, with 0 repositories active in the last 90 days and 0 external contributors on record. Jina AI shows 72,580 stars across 266 public repos, 13 active in the last 90 days and 8 external contributors.
Eli-Lilly is worth a look for teams already invested in its stack. Jina AI looks better where code quality 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 | Eli-Lilly | Jina AI |
|---|---|---|
| Ranking | ||
| Overall rank | #1095 | #190 |
| Pillars | ||
| Overall | 10 | 50 |
| Code | 0 | 61 |
| Education | 10 | 57 |
| Community | 0 | 41 |
| Reach | 44 | 58 |
| Momentum | 0 | 26 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 0 | 72,580 |
| Forks | 0 | 7,652 |
| Public repos | 0 | 266 |
| Active repos (90d) | 0 | 13 |
| External contributors | 0 | 8 |
| Avg polish | 0 | 63 |
| Avg AI-readiness | 0 | 47 |