Airflow vs Code Input
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed. | Developer productivity suite featuring merge conflict resolution, smart queues, GitHub integration, collaboration tools, and actionable insights. |
Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writting code that instantiate pipelines dynamically.;Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.;Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built in the core of Airflow using powerful Jinja templating engine.;Scalable: Airflow has a modular architecture and uses a message queue to talk to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. | merge conflicts, codeowners, workflow automation |
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Followers 2.8K | Followers 1 |
Votes 128 | Votes 1 |
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What are some alternatives to Airflow, Code Input?
GitHub
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Bitbucket
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GitLab
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Code Climate
After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.
Codacy
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RhodeCode
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AWS CodeCommit
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Phabricator
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Gogs
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Gitea
Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD. It published under the MIT license.
