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-3.6.20250306030333-py3-none-any.whl (133.0 kB view details)

Uploaded Python 3

File details

Details for the file thds.mops-3.6.20250306030333-py3-none-any.whl.

File metadata

File hashes

Hashes for thds.mops-3.6.20250306030333-py3-none-any.whl
Algorithm Hash digest
SHA256 c217544b5faae4c02b431225567f8410627d678c90b155f22a5b147b7fef5880
MD5 4faa951ad0f4d7f839ddc109f3738bbd
BLAKE2b-256 d8353cbfd7767c478b27ae3fee1dcf062ba6cc467b62ae1bc0571b95781ebd59

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