Open source AI engineering platform. Debug, analyze and iterate together.
kakao vs Langfuse
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
kakao 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 kakao (rank #257) on the overall Smoower ecosystem score (59 vs 47). The gap of 12 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Langfuse is slightly ahead of kakao. On community (issue response, PR reviews and discussion health), Langfuse is slightly ahead of kakao. On reach (how visible the ecosystem is beyond its own repos), Langfuse is clearly ahead of kakao. On momentum (release cadence and how fast the ecosystem moves), Langfuse is slightly ahead of kakao.
kakao carries 6,073 GitHub stars across 71 public repos, with 12 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. The star gap on its own does not decide the comparison, but Langfuse's footprint is roughly 5.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
kakao is worth a look for teams already invested in its stack. Langfuse looks better where reach 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 | kakao | Langfuse |
|---|---|---|
| Ranking | ||
| Overall rank | #257 | #63 |
| Pillars | ||
| Overall | 47 | 59 |
| Code | 56 | 56 |
| Education | 44 | 50 |
| Community | 51 | 53 |
| Reach | 32 | 71 |
| Momentum | 52 | 54 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,073 | 32,648 |
| Forks | 1,153 | 4,263 |
| Public repos | 71 | 25 |
| Active repos (90d) | 12 | 22 |
| External contributors | 8 | 147 |
| Avg polish | 61 | 60 |
| Avg AI-readiness | 29 | 41 |