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 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.

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-3.9.20251008013233-py3-none-any.whl (155.7 kB view details)

Uploaded Python 3

File details

Details for the file thds_mops-3.9.20251008013233-py3-none-any.whl.

File metadata

File hashes

Hashes for thds_mops-3.9.20251008013233-py3-none-any.whl
Algorithm Hash digest
SHA256 e63988c6f911dcb84e87bc73ee0a341a1a7f7b7846a534bb7f8637d78da92deb
MD5 6d0ee3836a8d9fd043c1c36b53af5f44
BLAKE2b-256 1cd784d23e18a055530f76ca86e27b05e48c4679a6e5ef6626cf36cd8376ba18

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