tensorflow/mlir
Some data may be outdated — see provenance labels.
"Multi-Level Intermediate Representation" Compiler Infrastructure observed · 2026-09-30
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2762
- days_rel: n/a
- days_push: 2007
- n_releases_24m: 0
Adoption not part of the score
1769 stars · 258 forks observed · 2026-09-30
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
MLIR (Multi-Level Intermediate Representation) is a compiler infrastructure for building reusable and extensible compiler toolchains, originally developed under TensorFlow. This repository has been migrated into the LLVM monorepo and now redirects there.
Use cases
- build custom compiler toolchains with a flexible IR
- compile and optimize machine learning models
- design domain-specific intermediate representations
- lower ML graphs to hardware targets
When to choose
- you need a multi-level IR for building compilers or ML compilers
- you want to contribute to or use MLIR today - use the LLVM monorepo version
When to avoid
- you expect active development in this repository - it is archived and moved to llvm/llvm-project
- you need a stable release - no releases were published from this repo
Facets
framework · maturity abandoned
compiler interpreter developer-tools compilers machine-learning developer-tools cpp windows intermediate-representation compiler-infrastructure llvm moved-to-llvm linux macos
1 source
- readme: https://github.com/tensorflow/mlir · fetched 2026-09-30 · b5517ae9ea93
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tensorflow/mlir | main | 10 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem