FlashInfer

license

Apache-2.0(OSI)

source

public

core-gated

ungated

Apache-2.0 license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

• https://github.com/flashinfer-ai/flashinfer/blob/main/LICENSE recorded 2026-08-18

  LICENSE file is the verbatim Apache-2.0 text

• https://api.github.com/repos/flashinfer-ai/flashinfer recorded 2026-08-18

  Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch main - for flashinfer-ai/flashinfer.

• https://github.com/flashinfer-ai/flashinfer/blob/main/README.md recorded 2026-08-18

  README describes a library and kernel generator for inference exposing unified attention, GEMM and MoE APIs over FlashAttention-2 and -3, cuDNN, CUTLASS and TensorRT-LLM backends, with JIT specialization, with no paid tier, enterprise edition or license-key-gated build beside it.

4,830,965 PyPI downloads of `flashinfer-python` in the trailing 30 days, which lands in the 1M-10M band of the software usage scale, level 4.

• https://pypistats.org/api/packages/flashinfer-python/recent recorded 2026-08-18

  last_month downloads = 4,830,965 for flashinfer-python

Banded on the category feature matrix as performance-critical kernel and operator library. Placed two bands below the apache-tvm anchor, on a matrix that bands on how much of the model-to-hardware transformation pipeline a product performs, over how many inputs and targets.

• https://github.com/flashinfer-ai/flashinfer/blob/main/README.md recorded 2026-08-18

  README still documents a library and kernel generator for inference exposing unified attention, GEMM and MoE APIs over FlashAttention-2 and -3, cuDNN, CUTLASS and TensorRT-LLM backends, with JIT specialization.