# deepset — developer ecosystem report

> Building enterprise search systems powered by latest NLP & open-source.

- GitHub org: `deepset-ai`
- Category: ai
- Overall score: 62.0 / 100
- Overall rank: #51
- Last refreshed: 2026-08-19

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 56.0 | #305 | ~22% |
| Education | 73.0 | #285 | ~18% |
| AI readiness | 39.0 | #338 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 55.0 | #83 | ~16% |
| Reach | 85.0 | #17 | ~18% |
| Momentum | 33.0 | #450 | ~14% |

## Links

- GitHub: https://github.com/deepset-ai
- Website: https://deepset.ai

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 30,571 |
| Forks | 4,489 |
| Open issues | 445 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [haystack](https://github.com/deepset-ai/haystack) | 26,254 | Python | Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modula |
| [FARM](https://github.com/deepset-ai/FARM) | 1,752 | Python | :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Questio |
| [haystack-cookbook](https://github.com/deepset-ai/haystack-cookbook) | 546 | Jupyter Notebook | 👩🏻‍🍳 A collection of example notebooks using Haystack |
| [haystack-tutorials](https://github.com/deepset-ai/haystack-tutorials) | 368 | Jupyter Notebook | Here you can find all the Tutorials for Haystack 📓 |
| [COVID-QA](https://github.com/deepset-ai/COVID-QA) | 361 | Jupyter Notebook | API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources. |
| [haystack-core-integrations](https://github.com/deepset-ai/haystack-core-integrations) | 203 | Python | Additional packages (components, document stores and the likes) to extend the capabilities of Haystack |
| [prompthub](https://github.com/deepset-ai/prompthub) | 191 | Go | — |
| [hayhooks](https://github.com/deepset-ai/hayhooks) | 151 | Python | Easily deploy Haystack pipelines as REST APIs and MCP Tools. |
| [haystack-demos](https://github.com/deepset-ai/haystack-demos) | 137 | Python | Fully working applications that demonstrate how to use Haystack to implement various use cases |
| [haystack-integrations](https://github.com/deepset-ai/haystack-integrations) | 114 | Shell | 🚀 A list of Haystack Integrations, maintained by the community or deepset.  |
| [haystack-rag-app](https://github.com/deepset-ai/haystack-rag-app) | 80 | Python | An example of a RAG backend plus UI |
| [haystack-experimental](https://github.com/deepset-ai/haystack-experimental) | 65 | Python | 🧪 Experimental features for Haystack |

## 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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