Open source AI engineering platform. Debug, analyze and iterate together.
Langfuse vs Replicate
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Langfuse (Open source AI engineering platform. Debug, analyze and iterate together.) and Replicate (Run AI with an API) both appear on the Smoower Developer Ecosystem Index.
Langfuse (rank #63) holds a modest lead over Replicate (rank #189) 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), Langfuse is slightly ahead of Replicate. On education (docs, guides and learning material for developers), Replicate is clearly ahead of Langfuse. On community (issue response, PR reviews and discussion health), Langfuse is slightly ahead of Replicate. On reach (how visible the ecosystem is beyond its own repos), Replicate is slightly ahead of Langfuse. On momentum (release cadence and how fast the ecosystem moves), Langfuse is clearly ahead of Replicate.
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. Replicate shows 25,062 stars across 169 public repos, 10 active in the last 90 days and 12 external contributors.
Langfuse is the stronger read for anyone weighting momentum. Replicate looks better where education 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 | Replicate |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #189 |
| Pillars | ||
| Overall | 59 | 50 |
| Code | 56 | 55 |
| Education | 50 | 72 |
| Community | 53 | 48 |
| Reach | 71 | 74 |
| Momentum | 54 | 31 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 32,648 | 25,062 |
| Forks | 4,263 | 4,596 |
| Public repos | 25 | 169 |
| Active repos (90d) | 22 | 10 |
| External contributors | 147 | 12 |
| Avg polish | 60 | 60 |
| Avg AI-readiness | 41 | 33 |