Factual package intelligence from PyPI

marimo-flow 0.4.0 package intelligence

Agentic scientific-computing platform: a reactive multi-agent team orchestrating PINA physics-informed neural-network workflows via pydantic-graph, with MLflow tracing/provenance and a marimo chat UI.

pip install marimo-flow

Current version
0.4.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
233.0 KiB
Release history
7 releases with files
Median release cadence
53 days

marimo-flow dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. marimo >=0.23.1
  2. mlflow >=3.11.1
  3. optuna >=4.8.0
  4. pina-mathlab >=0.2.6
  5. transformers >=5.5.4
  6. authlib >=1.6.9
  7. pillow >=12.2.0
  8. cryptography >=46.0.7
  9. langgraph >=1.1.8
  10. werkzeug >=3.1.8
  11. sqlparse >=0.5.5
  12. diskcache >=5.6.3

The compact report shows 12 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

marimo-flow publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for marimo-flow 0.4.0

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 7 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .