Factual package intelligence from PyPI

quantrl-lab 0.2.0 package intelligence

A lightweight Python library for developing and backtesting RL Agents in financial markets

pip install quantrl-lab

Current version
0.2.0
Python requirement
<4.0,>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
565.4 KiB
Release history
2 releases with files
Median release cadence
140 days

quantrl-lab dependencies

PyPI declares 59 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. alpaca-py <0.41.0,>=0.40.1
  2. gymnasium <2.0.0,>=1.1.1
  3. loguru <0.8.0,>=0.7.3
  4. matplotlib <4.0.0,>=3.10.3
  5. numpy <3.0.0,>=2.2.6
  6. optuna-integration <5.0.0,>=4.4.0
  7. optuna <5.0.0,>=4.4.0
  8. pandas <3.0.0,>=2.2.3
  9. pydantic <3.0.0,>=2.11.7
  10. python-dotenv <2.0.0,>=1.1.0
  11. pyyaml >=6.0.3
  12. rich <15.0.0,>=14.0.0
  13. sb3-contrib >=2.7.1
  14. scikit-learn <2.0.0,>=1.7.0
  15. seaborn <0.14.0,>=0.13.2
  16. stable-baselines3 <3.0.0,>=2.6.0
  17. yfinance <0.3.0,>=0.2.61

The compact report shows 25 of 59 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

quantrl-lab publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Release activity and sources

PyPI lists 2 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 .