thds.mops 3.10.20251208201522

ML Ops tools for Trilliant Health

mops is a Python library for ML Operations.

Jump to Quickstart if you are impatient prefer examples, like me!

mops solves for four core design goals:

• Efficient transfer of pure function execution to remote execution environments with more &| different compute resources

• Everything is written in standard Python with basic Python primitives; no frameworks, YAML, DSLs...

• Memoization — i.e. reproducibility and fault tolerance — for individual functions.

• Droppability: mops shouldn't entangle itself with your code, and you should always be able to run your code with or without mops in the loop.

It is used by decorating or wrapping your pure function and then calling it like a normal function.

read the docs

Browse our full documentation here.