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:
mopsshouldn't entangle itself with your code, and you should always be able to run your code with or withoutmopsin the loop.
It is used by decorating or wrapping your pure function and then calling it like a normal function.
read the docs
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file thds_mops-3.7.20250415142111-py3-none-any.whl.
File metadata
- Download URL: thds_mops-3.7.20250415142111-py3-none-any.whl
- Upload date:
- Size: 135.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ac3bd887756935fe64398dc82f8c0d26a988a8a29b6d19eb9e3a69898d69d955
|
|
| MD5 |
2dc8af144e11128a5eb333e06081ae16
|
|
| BLAKE2b-256 |
a4b8fe1ab7bc3552a1fad9b7746fd43c87d4479f2875fee0801ef09fb665e7bc
|
