Showing 1-20 of 21 projects
Apache Airflow for workflow orchestration
Reactive Python notebook for data science and AI with git-friendly, deployable, and AI-native features
Argo Workflows is a powerful open-source workflow engine for Kubernetes, enabling complex data processing and machine learning pipelines.
Dagger is an automation engine that helps developers build, test, and ship any codebase across CI/CD pipelines.
A C++ framework for parallel computing and asynchronous networking, supporting a variety of backends like Consul, Kafka, and Redis.
Hatchet is a scalable distributed task runner for building background jobs and workflows.
A powerful JavaScript diagramming library that uses SVG and HTML for rendering complex diagrams and visualizations.
A JavaScript/React/Vue diagramming library focused on flow layout for visualizing complex diagrams and workflows.
Maestro is Netflix's workflow orchestrator for building data pipelines and batch processing workflows.
A fast, efficient, and scalable distributed map/reduce system for DAG execution in pure Go.
Hamilton is an open-source ETL framework that helps data scientists and engineers build modular, testable dataflows with lineage and metadata.
Burr is a Python-based framework for building AI-powered applications and agents that can monitor, trace, and execute on your own infrastructure.
A set of Airflow DAGs to help maintain and manage the operation of an Airflow deployment.
A high-performance Python graph library implemented in Rust for efficient graph operations.
Android cold start optimization using a Directed Acyclic Graph (DAG) launcher.
An end-to-end data pipeline for building a data lake, data warehouse, and analytics platform from GoodReads data.
Declaratively construct Apache Airflow DAGs with YAML configuration files, simplifying complex data pipeline management.
A big data development platform for submission, scheduling, operation and maintenance, and indicator information display.
Comprehensive collection of blockchain and cryptocurrency resources, including whitepapers, scientific papers, and more.
Run your dbt Core or dbt Fusion projects as Apache Airflow DAGs and Task Groups with a few lines of code.
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