Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Updated
Mar 22, 2025 - 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. All in a modern, AI-native editor.
A distributed, fault-tolerant task queue
A series of DAGs/Workflows to help maintain the operation of Airflow
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
Use C Api and Swig to Speed up jieba 高效的中文分词库
Lightweight fast function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
Example DAGs using hooks and operators from Airflow Plugins
比特币的python简易实现,主要介绍比特币底层技术。如Base58编码、椭圆加密算法、MerkleTree、P2P对等网络、RPC通信、UTXO、虚拟机、DHT、DAG、链上数据的持久化存储等。
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
Python package to extend Airflow functionality with CWL1.1 support
Enforce Best Practices for all your Airflow DAGs. ⭐
Hathor core is the official and reference client for operating a full node in Hathor Network.
Algorithms in python and C
breaking cycles in noisy hierarchies
Visualize Airflow's schedule by exporting future DAG runs as events to Google Calendar.
A robust DAG implementation for parallel execution
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