Infrastructure / Core ML frameworks & libraries

Triton

Triton is a Python-embedded language and compiler for writing efficient custom GPU kernels, aiming for higher productivity than CUDA with more flexibility than other domain-specific languages. It compiles through MLIR and targets NVIDIA and AMD GPUs, with CPU support in progress. Created by Philippe Tillet at OpenAI, it is now developed under the triton-lang organization and serves as the kernel backend for PyTorch's inductor.

Verified 2026-08-13 via GitHub and the LICENSE body.

Openness

5 high confidence

5.0

license: MIT(OSI)
source: public
core-gated: ungated

MIT license body confirmed (Tillet/OpenAI copyright); full source public. The repository is public and unarchived, and the README describes the whole library with no paid, enterprise or hosted tier beside it, so source is public and the core ungated.

https://github.com/triton-lang/triton/blob/main/LICENSE recorded 2026-08-13
LICENSE file is the verbatim MIT License text, Copyright 2018-2020 Philippe Tillet / 2020-2022 OpenAI
https://api.github.com/repos/triton-lang/triton recorded 2026-08-13
Repo metadata - license spdx_id MIT, private false, archived false, default branch main - for triton-lang/triton.
https://raw.githubusercontent.com/triton-lang/triton/main/README.md recorded 2026-08-13
README describes the language and MLIR-based compiler and points at the public nightly wheels. No paid tier or feature-gated build appears.

Adoption

5 high confidence

5.0

69,538,627 PyPI downloads of `triton` in the trailing 30 days, which falls in the top band of the software usage scale, over 10M a month, level 5. Most of these installs arrive as a PyTorch dependency rather than as a direct request; the wheel is still the product's own distribution channel, so no adjustment is made for that.

https://pypistats.org/api/packages/triton/recent recorded 2026-08-13
last_month downloads = 69,538,627 for triton

Capability

5 high confidence

5.0

Foundational kernel-authoring layer (e.g. PyTorch inductor backend) across NVIDIA/AMD GPUs.

https://github.com/triton-lang/triton recorded 2026-08-13
README still describes the GPU kernel language and MLIR-based compiler, with public nightly wheels

Verified 2026-08-13