Owl

OWL is a pipeline/workflow execution framework designed to be simple and lightweight. Its intended mode of operation is the repeated execution of fairly static workflows. This is the mode of operation of data centers and astronomical observatories, more than individual researchers.
Alternatives To Owl
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Argo Workflows14,264245110 days ago449November 27, 2023993apache-2.0Go
Workflow Engine for Kubernetes
Orchest3,876
a year ago19December 13, 2022125apache-2.0TypeScript
Build data pipelines, the easy way 🛠️
Polyaxon3,4384123 months ago418December 09, 2023122apache-2.0
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Awesome Etl3,041
3 months ago12
A curated list of awesome ETL frameworks, libraries, and software.
Cyclone1,042
2 years ago85March 02, 202140apache-2.0Go
Powerful workflow engine and end-to-end pipeline solutions implemented with native Kubernetes resources. https://cyclone.dev
Serving83447 months ago21May 24, 2022477apache-2.0C++
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
Goodreads_etl_pipeline593
4 years agomitPython
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
Dagli351193 years ago8October 05, 20215bsd-2-clauseJava
Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).
Dffml2351224 months ago17February 05, 2022396mitPython
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.
Data Testing With Airflow190
7 months agoapache-2.0Python
Alternatives To Owl
Select To Compare


Alternative Project Comparisons
Popular Pipeline Projects
Popular Dag Projects
Popular Data Processing Categories

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Python
Pipeline
Dag