Create visual node-based UI with Tkinter!
breaking cycles in noisy hierarchies
A robust DAG implementation for parallel execution
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.
Unleash the true power of scheduling
Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
[ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs
Smart reproducible analytical pipeline inspection
A framework and specification language for simulating data based on graphical models
Get introduced to Directed Acyclic Graphs (DAGs) through Dagster with a simple ML program
[ACM TOIS] Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
Directed Acyclic Graph (DAG) User Interface (UI) Reverse Engineering (RE)
Refresh PostgreSQL materialized views in the correct order (topologically sorted)
A poorly made cryptocurrency with no purpose.
A general purpose framework for building and running computational graphs.
Integrated, scalable and fault-tolerant ML engineering, research and operations platform for personal, production or decentralised use.
Code accompanying my 2021 ASA SDSS paper
Computational programs and algorithms used to convert information from biochemical experiments (DNA/RNA/Protein/DNA chip/NGS) into useful information and data.
Moirae is a data-centric async workflow execution engine supports static DAGs in python.
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