Factual package intelligence from PyPI

morie 1.1.3 package intelligence

Multi-domain scientific computing toolkit (Python + R) for observational inference and intervention analysis. Provides causal estimators (ATE, ATT, AIPW, DML, G-computation), survey sampling, propensi

pip install morie

Current version
1.1.3
Python requirement
>=3.10
License
AGPL-3.0-or-later
Distribution type
Includes compiled wheel
Release files
16 (15 wheels, 1 source)
Download size
119.2 MiB
Release history
18 releases with files
Median release cadence
0 days

morie dependencies

PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.0
  2. numpy >=1.24
  3. scipy >=1.10
  4. scikit-learn >=1.3
  5. statsmodels >=0.14
  6. DoubleML >=0.7.1
  7. matplotlib >=3.7.0
  8. openpyxl >=3.1.0
  9. httpx >=0.27
  10. rich >=13.0
  11. beautifulsoup4 >=4.12

The compact report shows 12 of 28 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

morie publishes 15 wheels and 1 source archive for version 1.1.3. Wheel platform tags: macosx_11_0_arm64, manylinux_2_24_x86_64.manylinux_2_28_x86_64, win_amd64.

Declared Python classifiers: 3.10, 3.12, 3.14.

Security snapshot for morie 1.1.3

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 18 releases with files. The first dated release is ; 18 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .