---
id: dagit
version: "1.13.18"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# dagit — Web UI for dagster.

License: permissive · Maintenance: active · Downloads: 498.2K/mo

## What it is and what it does

Dagit is the web interface component of Dagster, a cloud-native data pipeline orchestrator. It provides a visual dashboard for defining, running, and monitoring data assets—tables, datasets, models, and reports—declared as Python functions. The UI displays asset lineage, execution history, and observability metrics, enabling developers to track data dependencies and spot issues across the pipeline lifecycle.

Dagit integrates with the broader Dagster ecosystem to support development from local testing through production deployment. It depends on dagster-webserver to serve the interface and works with Dagster's declarative asset model, where you define data transformations as decorated Python functions and Dagster orchestrates their execution. The package officially supports Python versions 3.10 through 3.14.

Use it for:

- Visualize and monitor multi-stage data pipelines with asset lineage and dependency tracking in a web dashboard.
- Debug data quality issues and pipeline failures by inspecting execution logs and asset metadata through the UI.
- Manage scheduled and triggered data asset refreshes across development, staging, and production environments.
- Track data lineage and observability metrics to understand data flow and identify performance bottlenecks.
- Collaborate on data pipeline development by sharing asset definitions and execution results via the web interface.

## Worth the install?

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

Dagit is the web UI for Dagster, providing a visual interface to orchestrate, monitor, and manage data pipelines and assets defined as Python functions.

Yes. Dagit is a mature, actively maintained web UI for a widely-used orchestration platform with no known vulnerabilities, low install friction, and permissive licensing. Install it if you are already using Dagster or evaluating it for data pipeline orchestration; it is essential for visual monitoring and management of Dagster assets.

## Install

pip install dagit
uv add dagit
poetry add dagit

## Installing dagit

Before you install: Low install friction with a single runtime dependency (dagster-webserver). The package is actively maintained with a recent release and has been in development since 2018-08-10, indicating a mature, well-established project.

License in practice: Apache-2.0 licensed under a permissive model, allowing commercial use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.

Quickstart:

pip install dagit dagster-webserver

import dagster as dg

@dg.asset
def my_asset() -> str:
    return "data"

# Run: dagster dev

Requires Python 3.10 or later (supports up to Python 3.14); dagster-webserver must be installed to run the web UI.

Verify before relying:

- Whether dagit 1.13.18 introduces breaking changes or deprecations relative to earlier versions.
- Performance characteristics and scalability limits for large numbers of assets or concurrent users.
- Integration requirements with specific orchestration backends or infrastructure platforms.

## Package facts

- License: Apache-2.0 (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 498.2K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

data pipeline orchestration web ui, dagster web interface, data asset management dashboard, pipeline monitoring and lineage, workflow orchestration ui, data-orchestration, pipeline-monitoring, asset-lineage

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