# Qdrant — developer ecosystem report

> Creating advanced vector search technology

- GitHub org: `qdrant`
- Category: ai
- Overall score: 71.0 / 100
- Overall rank: #8
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 70.0 | #105 | ~22% |
| Education | 88.0 | #4 | ~18% |
| AI readiness | 81.0 | #14 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 63.0 | #40 | ~16% |
| Reach | 47.0 | #366 | ~18% |
| Momentum | 66.0 | #103 | ~14% |

## Links

- GitHub: https://github.com/qdrant
- Website: https://qdrant.tech
- Docs: https://qdrant.tech/documentation

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 45,951 |
| Forks | 4,617 |
| Open issues | 1,832 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [qdrant](https://github.com/qdrant/qdrant) | 34,067 | Rust | Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also av |
| [fastembed](https://github.com/qdrant/fastembed) | 3,154 | Python | Fast, Accurate, Lightweight Python library to make State of the Art Embedding |
| [mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant) | 1,501 | Python | An official Qdrant Model Context Protocol (MCP) server implementation |
| [qdrant-client](https://github.com/qdrant/qdrant-client) | 1,342 | Python | Python client for Qdrant vector search engine |
| [quaterion](https://github.com/qdrant/quaterion) | 662 | Python | Blazing fast framework for fine-tuning similarity learning models |
| [awesome-metric-learning](https://github.com/qdrant/awesome-metric-learning) | 524 | — | 😎 A curated list of awesome practical Metric Learning and its applications |
| [qdrant-js](https://github.com/qdrant/qdrant-js) | 459 | TypeScript | JavaScript/Typescript SDK for Qdrant Vector Database |
| [qdrant-web-ui](https://github.com/qdrant/qdrant-web-ui) | 423 | JavaScript | Self-hosted web UI for Qdrant |
| [rust-client](https://github.com/qdrant/rust-client) | 414 | Rust | Rust client for Qdrant vector search engine  |
| [vector-db-benchmark](https://github.com/qdrant/vector-db-benchmark) | 368 | Python | Framework for benchmarking vector search engines |
| [go-client](https://github.com/qdrant/go-client) | 346 | Go | Go client for Qdrant vector search engine |
| [qdrant-dotnet](https://github.com/qdrant/qdrant-dotnet) | 227 | C# | Qdrant .Net SDK |

## 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/qdrant
Machine index: https://www.smoower.com/llms.txt · MCP server: https://www.smoower.com/mcp · REST API: https://www.smoower.com/api/v1