Weaviate

Weaviate ranks 156th overall in the AI category with a composite score of 54 out of 100. The organization describes itself as Weaviate creates database software like the Weaviate vector search engine, which frames how developers first encounter the brand on GitHub, in package registries and in search results.

Its documentation and learning material and shipping velocity come across as strong, and are what most developers will notice first when they land on the organization. By contrast, its developer experience and community engagement look minimal today, which is the clearest area where a small amount of focused work would visibly move the needle. Taken together, the picture is of a company whose public developer surface is neither uniformly polished nor uniformly weak, and where different audiences (contributors, integrators, evaluators) will likely form very different first impressions depending on which door they walk through.

Weaviate maintains 143 public repositories on GitHub, built primarily in Go, Python and Jupyter Notebook, which together have collected 30,452 stars and drawn contributions from 47 developers outside the core team, 34 of those repositories have seen commits in the last 90 days, a useful proxy for how much of the codebase is genuinely alive rather than archived.

For anyone evaluating Weaviate as a technology choice, weighing a contribution, integrating the APIs, or comparing it against similar companies in the space, the sections below break down each of these signals in detail and link straight through to the underlying repositories, documentation and community threads that inform the score.