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TACO (MIT CSAIL / Adobe)

lab · United States

Scores

1 product on the map — 1 open.

TACO

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public
core features withheld
no

MIT 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.

Adoption

2 low confidence
2.0

The `taco` package on PyPI belongs to an unrelated project by a different author, and TACO itself ships only as a source build, so GitHub stars are the only adoption signal available.

Capability

4 medium confidence
4.0

TACO is a full compilation toolchain - parser through code generation - for sparse and dense tensor algebra expressions, targeting both CPUs and GPUs. That toolchain is narrowed to one class of programs rather than the retargetable, multi-framework, multi-vendor scope Apache TVM covers.

  • https://github.com/tensor-compiler/taco/blob/master/README.md recorded 2026-10-07

    README describes taco as a C++ library that computes sparse and dense tensor algebra expressions with performance competitive with hand-optimized kernels, usable as a library or as a C code generator, with no paid tier, enterprise edition or license-gated build beside the published source.