# mlc-ai — developer ecosystem report

- GitHub org: `mlc-ai`
- Category: ai
- Overall score: 58.0 / 100
- Overall rank: #92
- Last refreshed: 2026-08-19

## Pillar scores

| Pillar | Score / 100 | Rank | Weight in overall |
| --- | --- | --- | --- |
| Code & Polish | 46.0 | #554 | ~22% |
| Education | 74.0 | #215 | ~18% |
| AI readiness | 18.0 | #621 | part of Reach |
| Builder experience | 0.0 | #1 | ~12% |
| Community | 72.0 | #16 | ~16% |
| Reach | 60.0 | #165 | ~18% |
| Momentum | 27.0 | #572 | ~14% |

## Links

- GitHub: https://github.com/mlc-ai

## Public GitHub totals

| Metric | Value |
| --- | --- |
| Repos analyzed | 12 |
| Stars | 52,555 |
| Forks | 4,886 |
| Open issues | 784 |
| Contributors | — |

## Top repositories

| Repo | Stars | Language | Description |
| --- | --- | --- | --- |
| [mlc-llm](https://github.com/mlc-ai/mlc-llm) | 23,073 | Python | Universal LLM Deployment Engine with ML Compilation |
| [web-llm](https://github.com/mlc-ai/web-llm) | 18,577 | TypeScript | High-performance In-browser LLM Inference Engine  |
| [web-stable-diffusion](https://github.com/mlc-ai/web-stable-diffusion) | 3,720 | Jupyter Notebook | Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.  |
| [xgrammar](https://github.com/mlc-ai/xgrammar) | 1,826 | C++ | Fast, Flexible and Portable Structured Generation |
| [modern-gpu-programming-for-mlsys](https://github.com/mlc-ai/modern-gpu-programming-for-mlsys) | 1,189 | HTML | A tutorial on modern GPU programming for machine learning systems |
| [web-llm-chat](https://github.com/mlc-ai/web-llm-chat) | 1,077 | TypeScript | Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversatio |
| [mlc-zh](https://github.com/mlc-ai/mlc-zh) | 637 | Python | — |
| [tokenizers-cpp](https://github.com/mlc-ai/tokenizers-cpp) | 502 | C++ | Universal cross-platform tokenizers binding to HF and sentencepiece |
| [mlc-en](https://github.com/mlc-ai/mlc-en) | 459 | Python | — |
| [pith-train](https://github.com/mlc-ai/pith-train) | 336 | Python | Compact and Agent-Native MoE Training System |
| [binary-mlc-llm-libs](https://github.com/mlc-ai/binary-mlc-llm-libs) | 325 | Python | — |
| [notebooks](https://github.com/mlc-ai/notebooks) | 227 | Jupyter Notebook | — |

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