# Weaviate — developer ecosystem report

> Weaviate creates database software like the Weaviate vector search engine

- GitHub org: `weaviate`
- Category: ai
- Overall score: 54.0 / 100
- Overall rank: #156
- Last refreshed: 2026-08-22

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 52.0 | #396 | ~22% |
| Education | 86.0 | #10 | ~18% |
| AI readiness | 57.0 | #108 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 44.0 | #277 | ~16% |
| Reach | 57.0 | #207 | ~18% |
| Momentum | 69.0 | #88 | ~14% |

## Links

- GitHub: https://github.com/weaviate
- Website: https://weaviate.io
- Docs: https://docs.weaviate.io

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 30,452 |
| Forks | 3,695 |
| Open issues | 1,356 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [weaviate](https://github.com/weaviate/weaviate) | 16,746 | Go | Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector  |
| [Verba](https://github.com/weaviate/Verba) | 7,709 | Python | Retrieval Augmented Generation (RAG) chatbot powered by Weaviate |
| [elysia](https://github.com/weaviate/elysia) | 1,922 | Python | Python package and backend for the Elysia platform app. |
| [recipes](https://github.com/weaviate/recipes) | 944 | Jupyter Notebook | This repository shares end-to-end notebooks on how to use various Weaviate features and integrations! |
| [weaviate-examples](https://github.com/weaviate/weaviate-examples) | 331 | HTML | Weaviate vector database – examples |
| [semantic-search-through-wikipedia-with-weaviate](https://github.com/weaviate/semantic-search-through-wikipedia-with-weaviate) | 244 | Python | Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine |
| [weaviate-python-client](https://github.com/weaviate/weaviate-python-client) | 226 | Python | A python native client for easy interaction with a Weaviate instance. |
| [elysia-frontend](https://github.com/weaviate/elysia-frontend) | 182 | TypeScript | Frontend Repository for Elysia |
| [healthsearch-demo](https://github.com/weaviate/healthsearch-demo) | 179 | TypeScript | Discover Healthsearch: Unlocking Health with Semantic Search ✨ |
| [mcp-server-weaviate](https://github.com/weaviate/mcp-server-weaviate) | 162 | — | MCP (Model Context Protocol) server for Weaviate |
| [gorilla](https://github.com/weaviate/gorilla) | 140 | Jupyter Notebook | Research repository on interfacing LLMs with Weaviate APIs. Inspired by the Berkeley Gorilla LLM. |
| [structured-rag](https://github.com/weaviate/structured-rag) | 121 | Jupyter Notebook | Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models |

## Methodology

Scores are computed from public signals only (GitHub, package registries, docs sites, community platforms). Pillar definitions: https://www.smoower.com/docs.md

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HTML version: https://www.smoower.com/weaviate
Machine index: https://www.smoower.com/llms.txt · MCP server: https://www.smoower.com/mcp · REST API: https://www.smoower.com/api/v1