# Together — developer ecosystem report

- GitHub org: `togethercomputer`
- Category: ai
- Overall score: 41.0 / 100
- Overall rank: #440
- Last refreshed: 2026-08-19

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 33.0 | #921 | ~22% |
| Education | 54.0 | #668 | ~18% |
| AI readiness | 26.0 | #529 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 41.0 | #332 | ~16% |
| Reach | 35.0 | #652 | ~18% |
| Momentum | 45.0 | #287 | ~14% |

## Links

- GitHub: https://github.com/togethercomputer
- Website: https://togethercomputer.org
- Docs: https://togethercomputer.org/docs

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 20,333 |
| Forks | 2,262 |
| Open issues | 384 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [OpenChatKit](https://github.com/togethercomputer/OpenChatKit) | 8,985 | Python | — |
| [RedPajama-Data](https://github.com/togethercomputer/RedPajama-Data) | 4,976 | Python | The RedPajama-Data repository contains code for preparing large datasets for training large language models. |
| [MoA](https://github.com/togethercomputer/MoA) | 2,963 | Python | Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models |
| [together-cookbook](https://github.com/togethercomputer/together-cookbook) | 1,179 | Jupyter Notebook | A collection of notebooks/recipes showcasing usecases of open-source models with Together AI. |
| [stripedhyena](https://github.com/togethercomputer/stripedhyena) | 435 | Python | Repository for StripedHyena, a state-of-the-art beyond Transformer architecture |
| [open_deep_research](https://github.com/togethercomputer/open_deep_research) | 377 | Python | Together Open Deep Research |
| [open-data-scientist](https://github.com/togethercomputer/open-data-scientist) | 187 | Python | Open AI data scientist agent that automates complex data analysis tasks using the ReAct framework. Execute Python code l |
| [OpenDataHub](https://github.com/togethercomputer/OpenDataHub) | 128 | — | — |
| [EinsteinArena-new-SOTA](https://github.com/togethercomputer/EinsteinArena-new-SOTA) | 123 | Jupyter Notebook | New state-of-the-art bounds for open problems |
| [finetuning](https://github.com/togethercomputer/finetuning) | 117 | Python | Finetune Llama-3-8b on the MathInstruct dataset |
| [redpajama.cpp](https://github.com/togethercomputer/redpajama.cpp) | 117 | C | Extend the original llama.cpp repo to support redpajama model. |
| [Llama-2-7B-32K-Instruct](https://github.com/togethercomputer/Llama-2-7B-32K-Instruct) | 84 | Python | — |

## Methodology

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

---

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