Developer ecosystem comparison
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Anthropic vs Zilliz

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

Anthropic and Zilliz (Vector Database for Enterprise-grade AI and LLM applications) both appear on the Smoower Developer Ecosystem Index.

Anthropic (rank #30) holds a modest lead over Zilliz (rank #122) on the overall Smoower ecosystem score (63 vs 54). 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), Zilliz is clearly ahead of Anthropic. On education (docs, guides and learning material for developers), Zilliz is slightly ahead of Anthropic. On community (issue response, PR reviews and discussion health), Anthropic is ahead of Zilliz. On reach (how visible the ecosystem is beyond its own repos), Anthropic is ahead of Zilliz. On momentum (release cadence and how fast the ecosystem moves), Zilliz is slightly ahead of Anthropic.

Anthropic carries 584,015 GitHub stars across 92 public repos, with 46 repositories active in the last 90 days and 911 external contributors on record. Zilliz shows 37,860 stars across 71 public repos, 29 active in the last 90 days and 105 external contributors. The star gap on its own does not decide the comparison, but Anthropic's footprint is roughly 15.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Anthropic is the stronger read for anyone weighting community. Zilliz looks better where code quality 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

MetricAnthropicZilliz
Ranking
Overall rank#30#122
Pillars
Overall6354
Code4467
Education8283
Community6551
Reach3829
Momentum4650
Builder experience00
Signals
Stars584,01537,860
Forks80,2093,995
Public repos9271
Active repos (90d)4629
External contributors911105
Avg polish4864
Avg AI-readiness4059

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