# modular/modular

The Modular Platform (includes MAX & Mojo)

Repository: https://github.com/modular/modular
Canonical: https://ross.abutalabs.com/products/modular
Homepage: https://docs.modular.com/
Language: Mojo
License: NOASSERTION
License Family: other
Topics: ai, language, machine-learning, mojo, modular, programming-language, max
Last push: 2026-08-26T06:38:38+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 85, longevity 87
- inputs: {"age_days": 1223, "days_push": 7, "days_rel": 22, "gap_med": 48, "n_releases_24m": 14}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 29225, forks 3109 (observed 2026-08-28T04:11:53.175340+00:00)

## What it is
Modular Platform hosting the MAX AI serving framework and the Mojo systems programming language. It provides an OpenAI-compatible inference server, GPU kernels, and a Pythonic systems language for high-performance AI development.

## Use cases
- serve llm inference with openai-compatible api
- write fast gpu kernels for ai
- accelerate python code with a systems language
- deploy models across nvidia and amd gpus
- build custom model pipelines

## When to choose
- you need high-performance llm serving on diverse gpu hardware
- you want a pythonic systems language for ai kernels

## When to avoid
- you need a fully permissive license for all components
- you only need a simple python inference setup

## Facets
- artifact type: framework
- maturity: active
- function: llm-inference, llm-training, compiler, programming-language, gpu-computing, machine-learning
- domain: artificial-intelligence, machine-learning, large-language-models, programming-languages, gpu-computing
- platform: python, cross-platform
- tags: mojo, max-framework, inference-server, ai-platform, openai-compatible, gpu, linux, macos

## Member repositories
- modular/modular (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:53.175340+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:53:08.904958+00:00, confidence not recorded.
  - readme: https://github.com/modular/modular (fetched 2026-08-28T04:11:53.175340+00:00, sha 0a4629613dee)
  - homepage: https://docs.modular.com/ (fetched 2026-08-29T07:50:15.577097+00:00, sha 05fe31f74212)
  - site_page: https://docs.modular.com/quickstart (fetched 2026-08-29T07:50:15.586988+00:00, sha 123006c723c3)
- Data as of 2026-08-30T08:39:29.467469+00:00.