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-3.6.20250321183717-py3-none-any.whl (133.0 kB view details)

Uploaded Python 3

File details

Details for the file thds_mops-3.6.20250321183717-py3-none-any.whl.

File metadata

File hashes

Hashes for thds_mops-3.6.20250321183717-py3-none-any.whl
Algorithm Hash digest
SHA256 698f61231d8568d0e76db59bdb0af8947ed0bcd5204d06db943394e69f38b26a
MD5 0c4192622db1658c134fbfe4050bd4f6
BLAKE2b-256 cc99edb69567cffc0ae7797db1157cf3698873ac4f05e4f8085f721686c31bea

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