Directed Acyclic Graph Python Packages

bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

25K 632 59

paradag

A robust DAG implementation for parallel execution

19K 71 10

scitex-clew

Verifiable knowledge graph for scientific experiments

14K 0 0

synapse-orch-ai

Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.

6K 293 52

znflow

A general purpose framework for building and running computational graphs.

5K 6 0

django-postgresql-dag

Directed Acyclic Graphs with a variety of methods for both Nodes and Edges, and multiple exports (NetworkX, Pandas, etc). This project is the foundation for a commercial product, so expect regular improvements. PR's and other contributions are welcomed.

4K 53 6

railway-framework

This is a Python framework for Railway Oriented Programming.

2K 6 0

dawgz

Unleash the true power of scheduling

1K 37 4

dagsim

A framework and specification language for simulating data based on graphical models

967 19 3

dagabaaz

A DAG execution engine for pipeline orchestration.

762 2 0

audiodag

A lazy-DAG component approach to signal generation. Designed for psychophysics stimuli.

649 1 1

bnclassify

bnlearn

491 1 1

ancestree-track

Experiment tracking without the infrastructure. No server, no database, no dependencies. Just Python, your filesystem, and one call to visualise the whole pipeline. Works for any workflow.

490 1 0

py-bnlearn

Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

447 632 59