---
id: airflow-code-editor
version: "8.3.0"
license: Apache License 2.0
license_treatment: permissive
maintenance: active
---

# airflow-code-editor — Apache Airflow code editor and file manager

License: permissive · Maintenance: active · Downloads: 130.3K/mo

## What it is and what it does

Airflow Code Editor is a plugin that extends Apache Airflow's web interface with an in-browser code editor and file manager. It lets you edit DAGs and other files directly in your browser without leaving Airflow, with optional Git integration to track changes, review history, and commit modifications. The plugin supports mounting additional directories and remote filesystems (S3, GCS, SFTP, etc.) via fsspec, and includes optional Python code formatting with black and isort.

The plugin is designed for teams managing Airflow pipelines who want a streamlined workflow for DAG development. It runs as a Flask-based web interface within Airflow and depends on fsspec for filesystem abstraction and pss for source file searching. Configuration is handled through Airflow's standard config file or environment variables, making it easy to customize root directories, Git behavior, code formatting rules, and additional mount points.

Use it for:

- Edit and test DAGs directly in the Airflow UI without SSH or local file access, reducing deployment friction.
- Review Git history and commit DAG changes from the browser, enabling collaborative pipeline development.
- Mount remote storage (S3, GCS, SFTP) as editable directories within the editor for data pipeline configuration.
- Format Python code automatically using black and isort during editing to maintain consistent DAG style.
- Search across DAG files and project code using the integrated search powered by pss.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Browser-based editor and file manager for Apache Airflow DAGs with integrated Git support, allowing you to edit, upload, and download pipeline code directly within Airflow's web interface.

Yes. The plugin is actively maintained, production-stable, has no known vulnerabilities, and low install friction. It directly addresses a common Airflow workflow pain point—editing DAGs requires leaving the UI or using external tools. The permissive Apache license and broad Python version support (3.6–3.13) make it safe to adopt. Install it if your team edits DAGs frequently or benefits from Git-tracked pipeline changes in a centralized interface.

## Install

pip install airflow-code-editor
uv add airflow-code-editor
poetry add airflow-code-editor

## Installing airflow-code-editor

Before you install: Low install friction; pure Python wheel with three runtime dependencies (flask, fsspec, pss). Actively maintained with a release 15 days ago and 466 repository stars. Supports Python 3.6 through 3.13.

License in practice: Apache License 2.0 (permissive). You can use, modify, and distribute this plugin freely in commercial and private projects, provided you include the license notice.

Quickstart:

pip install airflow-code-editor

# Restart Airflow web server, then navigate to:
# Airflow 3.x: Plugins > Airflow Code Editor
# Airflow 2.x: Admin > Airflow Code Editor

Requires Apache Airflow 2.x or 3.x; optional Git support requires git 2.0 or newer installed on the system.

Verify before relying:

- Whether the plugin's REST API is documented in detail beyond the Swagger link provided.
- Performance characteristics when editing large DAG files or managing many mount points.
- Compatibility with Airflow authentication backends other than basic_auth.

## Package facts

- License: Apache License 2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 130.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow dag editor web ui, airflow code editor plugin, airflow file manager browser, airflow dag git integration, airflow in-browser code editing, airflow pipeline editor, airflow dag file management, airflow-plugin, dag-editor, git-integration

[View on SkillFed](https://skillfed.io/packages/airflow-code-editor) · [View on PyPI](https://pypi.org/project/airflow-code-editor/)