Triton
Triton (triton-lang)Triton is a Python-embedded language and compiler for writing highly efficient custom GPU kernels (deep-learning primitives), aiming for higher productivity than CUDA with more flexibility than other DSLs. It compiles via MLIR and targets NVIDIA GPUs and AMD GPUs, with CPU support in progress. Originally created by Philippe Tillet at OpenAI, it is now developed under the triton-lang organization. It is widely used as the kernel backend for projects like PyTorch's inductor.
Verified live 2026-06-22 via primary sources. MIT license body confirmed (Tillet/OpenAI copyright); full source public.
Openness
5 high confidence- license
- MIT(OSI)
- source
- public
- core-gated
- ungated
MIT license body confirmed (Tillet/OpenAI copyright); full source public.
- https://github.com/triton-lang/triton/blob/main/LICENSE recorded 2026-06-22
MIT License text, Copyright 2018-2020 Philippe Tillet / 2020-2022 OpenAI
Adoption
5 high confidencePyPI last_month downloads ~64.7M.
- https://pypistats.org/api/packages/triton/recent recorded 2026-06-22
last_month=64,708,650 downloads
Capability
5 high confidenceFoundational kernel-authoring layer (e.g. PyTorch inductor backend) across NVIDIA/AMD GPUs.
- https://github.com/triton-lang/triton recorded 2026-06-22
README: language+compiler for fast custom DL primitives, MLIR-based
Unchanged since 2026-07-30 (last edited, not re-checked)