Factual package intelligence from PyPI

M-LOOP 3.3.5 package intelligence

M-LOOP: Machine-learning online optimization package. A python package of automated optimization tools - enhanced with machine-learning - for quantum scientific experiments, computer controlled systems or other optimization tasks.

pip install m-loop

Current version
3.3.5
Python requirement
Not declared
License
MIT
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
73.2 KiB
Release history
16 releases with files
Median release cadence
59 days

M-LOOP dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

M-LOOP publishes 0 wheels and 1 source archive for version 3.3.5. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 2.7, 3.4, 3.5.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 16 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .