Factual package intelligence from PyPI

TinyExp 0.1.0 package intelligence

A minimalist Python project for deep learning experiment management. It uses Ray for core distributed environment and backend setup, and provides basic, no-frills tracking for models, optimizers, and LR schedulers.

pip install tinyexp

Current version
0.1.0
Python requirement
<4.0,>=3.9
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
94.5 KiB
Release history
6 releases with files
Median release cadence
24 days

TinyExp dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. accelerate
  2. hydra-core
  3. loguru
  4. loguru >=0.7.3
  5. numpy
  6. omegaconf
  7. ray
  8. redis
  9. tabulate
  10. torch
  11. torchvision
  12. tqdm
  13. wandb

Compatibility and release files

TinyExp publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Security snapshot for TinyExp 0.1.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .