Open source AI engineering platform. Debug, analyze and iterate together.
Helping developers search, understand, and write code in complex codebases with AI
Langfuse vs Sourcegraph
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Langfuse (Open source AI engineering platform. Debug, analyze and iterate together.) and Sourcegraph (Helping developers search, understand, and write code in complex codebases with AI) both appear on the Smoower Developer Ecosystem Index.
Langfuse (rank #63) holds a narrow lead over Sourcegraph (rank #152) on the overall Smoower ecosystem score (59 vs 52). The gap of 7 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Sourcegraph is ahead of Langfuse. On community (issue response, PR reviews and discussion health), Langfuse is slightly ahead of Sourcegraph. On reach (how visible the ecosystem is beyond its own repos), Langfuse is clearly ahead of Sourcegraph. On momentum (release cadence and how fast the ecosystem moves), Sourcegraph is clearly ahead of Langfuse.
Langfuse carries 32,648 GitHub stars across 25 public repos, with 22 repositories active in the last 90 days and 147 external contributors on record. Sourcegraph shows 33,115 stars across 601 public repos, 68 active in the last 90 days and 17 external contributors.
Langfuse is the stronger read for anyone weighting reach. Sourcegraph 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 | Langfuse | Sourcegraph |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #152 |
| Pillars | ||
| Overall | 59 | 52 |
| Code | 56 | 56 |
| Education | 50 | 69 |
| Community | 53 | 48 |
| Reach | 71 | 42 |
| Momentum | 54 | 79 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 32,648 | 33,115 |
| Forks | 4,263 | 4,312 |
| Public repos | 25 | 601 |
| Active repos (90d) | 22 | 68 |
| External contributors | 147 | 17 |
| Avg polish | 60 | 59 |
| Avg AI-readiness | 41 | 33 |