Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)
Open source AI engineering platform. Debug, analyze and iterate together.
Jina AI vs Langfuse
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Jina AI (Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)) and Langfuse (Open source AI engineering platform. Debug, analyze and iterate together.) both appear on the Smoower Developer Ecosystem Index.
Langfuse (rank #63) holds a modest lead over Jina AI (rank #190) on the overall Smoower ecosystem score (59 vs 50). The gap of 9 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 Langfuse. On education (docs, guides and learning material for developers), Jina AI is slightly ahead of Langfuse. On community (issue response, PR reviews and discussion health), Langfuse is ahead of Jina AI. On reach (how visible the ecosystem is beyond its own repos), Langfuse is ahead of Jina AI. On momentum (release cadence and how fast the ecosystem moves), Langfuse is clearly 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. Langfuse shows 32,648 stars across 25 public repos, 22 active in the last 90 days and 147 external contributors.
Jina AI is the stronger read for anyone weighting education. Langfuse looks better where momentum 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 | Langfuse |
|---|---|---|
| Ranking | ||
| Overall rank | #190 | #63 |
| Pillars | ||
| Overall | 50 | 59 |
| Code | 61 | 56 |
| Education | 57 | 50 |
| Community | 41 | 53 |
| Reach | 58 | 71 |
| Momentum | 26 | 54 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 72,580 | 32,648 |
| Forks | 7,652 | 4,263 |
| Public repos | 266 | 25 |
| Active repos (90d) | 13 | 22 |
| External contributors | 8 | 147 |
| Avg polish | 63 | 60 |
| Avg AI-readiness | 47 | 41 |