Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Mar 6, 2026 - Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Workflow Engine for Kubernetes
Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud
🪓 Run Background Tasks at Scale
🚀 JavaScript diagramming library that uses SVG and HTML for rendering.
🦋Butterfly,A JavaScript/React/Vue2 Diagramming library which concentrate on flow layout field. (基于JavaScript/React/Vue2的流程图组件)
Build data pipelines, the easy way 🛠️
Maestro: Netflix’s Workflow Orchestrator
Local-first CLI and AI-agent orchestration built like infrastructure should be: declarative, file-based, self-contained, air-gapped ready. One binary that scales from laptop to distributed cluster.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A series of DAGs/Workflows to help maintain the operation of Airflow
A high performance Python graph library implemented in Rust.
Taier is a big data development platform for submission, scheduling, operation and maintenance, and indicator information display
Compilation of useful documents and scientific papers about Blockchain & cryptocurrencies.
Powerful workflow engine and end-to-end pipeline solutions implemented with native Kubernetes resources. https://cyclone.dev
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
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