MLTE
unknown · United StatesScores
1 product on the map — 1 open.
Openness
5 medium confidence- license
- MIT(OSI)
- source
- public(Python package, web frontend and backend)
- core features withheld
- no
Package, frontend and backend are all in the MIT-licensed repository, and nothing in its tree sits under other terms.
- https://cdn.jsdelivr.net/gh/mlte-team/mlte@master/LICENSE recorded 2026-09-26
"MIT License Copyright (c) 2022 Kyle Dotterrer"
- https://cdn.jsdelivr.net/gh/mlte-team/mlte@master/README.md recorded 2026-09-26
"MLTE (pronounced \"melt\") is a framework and infrastructure for evaluating machine learning models and systems"; frontend and backend install as optional dependencies
- https://ungh.cc/repos/mlte-team/mlte/files/master recorded 2026-09-26
Full file listing of mlte-team/mlte master, 751 paths; no ee/, enterprise/, commercial/ or proprietary/ directory
Adoption
1 medium confidencePyPI downloads of mlte, the project's package, measure its use.
- https://pypistats.org/api/packages/mlte/recent recorded 2026-09-26
last_month downloads = 157 for mlte
Capability
2 medium confidenceMLTE turns test results into structured reports, but in its own format and produced by the team under evaluation, so a reader takes them on trust. Compliance Trestle, by contrast, writes to a published standard that outside tools can validate.
- https://cdn.jsdelivr.net/gh/mlte-team/mlte@master/README.md recorded 2026-09-26
README: install the package, start the backend and web UI; the default artifact store is in-memory, with relational storage optional