Langfuse vs Zilliz

Langfuse (Open source AI engineering platform. Debug, analyze and iterate together.) and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.

Langfuse (rank #63) holds a narrow lead over Zilliz (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 code quality (the state of repositories, tests, releases and polish), Zilliz is ahead of Langfuse. On education (docs, guides and learning material for developers), Zilliz is clearly ahead of Langfuse. On community (issue response, PR reviews and discussion health), Langfuse is slightly ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), Langfuse is clearly ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Langfuse is slightly ahead of Zilliz.

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. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors.

Langfuse is the stronger read for anyone weighting reach. Zilliz 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.