# Baseten — developer ecosystem report

> Machine learning infrastructure for developers

- GitHub org: `basetenlabs`
- Category: ai
- Overall score: 48.0 / 100
- Overall rank: #266
- Last refreshed: 2026-08-20

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 42.0 | #674 | ~22% |
| Education | 83.0 | #67 | ~18% |
| AI readiness | 45.0 | #241 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 47.0 | #211 | ~16% |
| Reach | 27.0 | #784 | ~18% |
| Momentum | 43.0 | #312 | ~14% |

## Links

- GitHub: https://github.com/basetenlabs
- Website: https://baseten.co
- Docs: https://docs.baseten.co

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 1,794 |
| Forks | 271 |
| Open issues | 461 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [truss](https://github.com/basetenlabs/truss) | 1,195 | Python | The simplest way to serve AI/ML models in production |
| [truss-examples](https://github.com/basetenlabs/truss-examples) | 229 | Python | Examples of models deployable with Truss |
| [ml-cookbook](https://github.com/basetenlabs/ml-cookbook) | 63 | Python | Ready-to-use ML training recipes to help you build and deploy models on Baseten. |
| [truss-go](https://github.com/basetenlabs/truss-go) | 41 | Go | Golang SDK for Truss |
| [sa_spec](https://github.com/basetenlabs/sa_spec) | 40 | C++ | — |
| [baseten-switch](https://github.com/basetenlabs/baseten-switch) | 26 | Go | Local macOS app and gateway for routing AI coding harnesses through Baseten |
| [baseten-cli](https://github.com/basetenlabs/baseten-cli) | 26 | Go | CLI for Baseten |
| [Workshop-TRT-LLM](https://github.com/basetenlabs/Workshop-TRT-LLM) | 26 | Python | — |
| [avatar-generation-app-tutorial](https://github.com/basetenlabs/avatar-generation-app-tutorial) | 22 | TypeScript | A thorough tutorial + working code for building your own Lensa-like app using Blueprint |
| [SGLang-Workshop](https://github.com/basetenlabs/SGLang-Workshop) | 19 | Jupyter Notebook | Workshop materials for AI Engineer World's Fair |
| [stablelm-truss](https://github.com/basetenlabs/stablelm-truss) | 13 | Python | — |
| [starcoder-truss](https://github.com/basetenlabs/starcoder-truss) | 12 | Python | Truss for deploying Starcoder to Baseten or other platforms |

## 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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