Building enterprise search systems powered by latest NLP & open-source.
Open source AI engineering platform. Debug, analyze and iterate together.
deepset vs Langfuse
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
deepset (Building enterprise search systems powered by latest NLP & open-source.) 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 narrow lead over deepset (rank #122) on the overall Smoower ecosystem score (59 vs 54). The gap of 5 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), deepset is clearly ahead of Langfuse. On reach (how visible the ecosystem is beyond its own repos), Langfuse is clearly ahead of deepset. On momentum (release cadence and how fast the ecosystem moves), Langfuse is clearly ahead of deepset.
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. Langfuse shows 32,648 stars across 25 public repos, 22 active in the last 90 days and 147 external contributors.
deepset 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 | deepset | Langfuse |
|---|---|---|
| Ranking | ||
| Overall rank | #122 | #63 |
| Pillars | ||
| Overall | 54 | 59 |
| Code | 56 | 56 |
| Education | 74 | 50 |
| Community | 53 | 53 |
| Reach | 49 | 71 |
| Momentum | 31 | 54 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 30,141 | 32,648 |
| Forks | 4,301 | 4,263 |
| Public repos | 74 | 25 |
| Active repos (90d) | 17 | 22 |
| External contributors | 171 | 147 |
| Avg polish | 63 | 60 |
| Avg AI-readiness | 39 | 41 |