Milvus vs Weaviate: Which Is More Actively Maintained? Live GitHub Data
Milvus is a vector database designed for very large collections and distributed deployments, while Weaviate is a Go-based vector database with built-in modules for creating vectors. This page compares how actively each project is maintained, using live data from GitHub.
GitHub data checked 20 minutes ago.
Side by side
| Measure | Milvus | Weaviate |
|---|---|---|
| Status | Active | Active |
| Commits, last 91 days | 651 | 3,561 |
| Same 91 days a year earlier | 551 | 1,467 |
| Change vs last year | +18% | +143% |
| Last commit | 18 Oct 2026 | 16 Oct 2026 |
| GitHub stars | 46,417 | 16,888 |
| Stars gained, daily snapshots | +17 in 2 days | +1 in 2 days |
| Licence | Apache-2.0 | Custom |
| Managed cloud | Not checked | Not checked |
| Visitor rating | —0 of 3 ratings needed | —0 of 3 ratings needed |
What the numbers say
In the last 91 days, Milvus’s default branch received 651 commits and Weaviate’s received 3,561. That is about 5.5 times as many for Weaviate, though projects that squash each pull request into one commit show fewer commits for the same work, so treat the gap as a rough signal. Against the same 91 days a year earlier, Milvus is at +18% and Weaviate at +143%. The index labels both “active”. Milvus has 46,417 GitHub stars and Weaviate has 16,888; stars show how many people bookmarked a project, not how many use it. Their licences differ: Milvus uses Apache-2.0 and Weaviate uses a non-standard licence. GitHub does not recognise Weaviate’s licence as a standard one, so read it before commercial use.
What this comparison does not tell you
These are maintenance signals only. They do not measure speed, output quality, features, documentation or how easy either tool is to run, and we have not benchmarked either tool for this page. A quiet repository can still be a good fit for a stable job, and a busy one can still break between releases. Use the numbers to decide what to check next, not which tool is better.
Each tool’s full record
Related comparisons
How this is measured: commits on each repository’s default branch counted through the GitHub API, the last 91 days against the same 91 days a year earlier; stars, licence and archived flag from the repository; README checked daily for maintenance notices. Visitor ratings come from visitors to each tool’s page, not from EvalAITools.