Skip to main content

ML Ops tools for Trilliant Health

Project description

mops is a Python library for ML Operations.

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

mops solves for three core issues:

  • 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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

thds.mops-3.6.20250220054900-py3-none-any.whl (133.2 kB view details)

Uploaded Python 3

File details

Details for the file thds.mops-3.6.20250220054900-py3-none-any.whl.

File metadata

File hashes

Hashes for thds.mops-3.6.20250220054900-py3-none-any.whl
Algorithm Hash digest
SHA256 6d9998f79e39b7ae96a4805b2670e2cb68ad4881b77be19476380cde0cb4dead
MD5 cdea0af9361702ee6069c8eb2b0b713e
BLAKE2b-256 3d301139dad638efeec3bcadd95a37d9213e597f5a78a2cc7a9e087428ee2463

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page