dagit
Web UI for dagster.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports up to Python 3.14); dagster-webserver must be installed to run the web UI.
- 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 · maintenance · safety
Apache-2.0 (permissive) — 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.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 498,192 downloads/mo, #6,330 on PyPI
Alternatives
Verify before relying
pip install dagit dagster-webserver
import dagster as dg
@dg.asset
def my_asset() -> str:
return "data"
# Run: dagster dev- 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.
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 on this page. Verify before relying on it.
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
dagit on PyPI
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.
Requires Python 3.10 or later (supports up to Python 3.14); dagster-webserver must be installed to run the web UI.
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 devVerify 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 the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedagster-webserver |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 498,192 / month, #6,330 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagit-1.13.18-py3-none-any.whl
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See also dagster-webserver · dagster · dagster-graphql · dagster-dg-cli · dagster-dg-core · dagster-cloud-cli · dagster-dbt · dagster-rest-resources · dagster-aws