Building enterprise search systems powered by latest NLP & open-source.
deepset vs Eli-Lilly
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
deepset (Building enterprise search systems powered by latest NLP & open-source.) and Eli-Lilly both appear on the Smoower Developer Ecosystem Index.
deepset (rank #122) holds a meaningful lead over Eli-Lilly (rank #1095) on the overall Smoower ecosystem score (54 vs 10). The gap of 44 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), deepset is clearly ahead of Eli-Lilly. On education (docs, guides and learning material for developers), deepset is clearly ahead of Eli-Lilly. On community (issue response, PR reviews and discussion health), deepset is clearly ahead of Eli-Lilly. On reach (how visible the ecosystem is beyond its own repos), deepset is slightly ahead of Eli-Lilly. On momentum (release cadence and how fast the ecosystem moves), deepset is clearly ahead of Eli-Lilly.
deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 external contributors on record. Eli-Lilly shows 0 stars across 0 public repos, 0 active in the last 90 days and 0 external contributors.
deepset is the stronger read for anyone weighting education. Eli-Lilly 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 | deepset | Eli-Lilly |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #1095 |
| Pillars | ||
| Overall | 54 | 10 |
| Code | 56 | 0 |
| Education | 74 | 10 |
| Community | 53 | 0 |
| Reach | 49 | 44 |
| Momentum | 31 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 30,141 | 0 |
| Forks | 4,301 | 0 |
| Public repos | 74 | 0 |
| Active repos (90d) | 17 | 0 |
| External contributors | 171 | 0 |
| Avg polish | 63 | 0 |
| Avg AI-readiness | 39 | 0 |