Metaflow
Framework for real-life data science; build, improve, and operate end-to-end workflows. subtitle
- Open Source
Metaflow Alternatives
The best Metaflow alternatives based on verified products, community votes, reviews and other factors.
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/airflow-alternatives
Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
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/luigi-alternatives
Luigi is a Python module that helps you build complex pipelines of batch jobs.
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Intelligent Contract Automation
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/azkaban-alternatives
Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
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/apache-oozie-alternatives
Apache Oozie Workflow Scheduler for Hadoop
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/activeeon-alternatives
ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.
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/dephell-alternatives
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump ver...
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/stackstorm-alternatives
StackStorm is a powerful open-source automation platform that wires together all of your apps...
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/mypy-alternatives
Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.
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/jenkins-alternatives
Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
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/rundeck-alternatives
RunDeck is an open source automation service with a web console, command line tools and a WebAPI.
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/n8n-io-alternatives
Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
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/databricks-alternatives
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
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/shipyard-alternatives
Data orchestration doesn't have to be complex. Launch, monitor, and share data pipelines in minutes, not weeks.