Airflow VS pre-commit

Compare Airflow vs pre-commit and see what are their differences.

Airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows (by apache)

pre-commit

A framework for managing and maintaining multi-language pre-commit hooks. (by pre-commit)
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Airflow pre-commit
59 51
23,923 6,926
1.6% 2.9%
10.0 8.4
3 days ago 4 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Airflow

Posts with mentions or reviews of Airflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-09.

pre-commit

Posts with mentions or reviews of pre-commit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-02.

What are some alternatives?

When comparing Airflow and pre-commit you can also consider the following projects:

Kedro - A Python framework for creating reproducible, maintainable and modular data science code.

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

dagster - An orchestration platform for the development, production, and observation of data assets.

Dask - Parallel computing with task scheduling

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Apache Camel - Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

Numba - NumPy aware dynamic Python compiler using LLVM

Pinball

markdownlint-cli - MarkdownLint Command Line Interface

n8n - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

Poetry - Python dependency management and packaging made easy.