dagit

library1.13.9pypypiunverified

Dagit is the web-based user interface for Dagster, providing observability, operational control, and debugging capabilities for data pipelines. It allows users to visualize assets, jobs, runs, schedules, and sensors defined within a Dagster project. Dagit's versioning is tightly coupled with the core Dagster library, typically released in sync with major and minor Dagster updates.

workflow observability

pip install dagit

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · DAGIT

dagit

workflowpythonv1.13.9

Install

16.6s avg

Import

—

Disk

205MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.13.9 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.920 runs

installs and imports cleanly · install 0.0s · import 0.000s · 199.4MB

glibc

py 3.10–3.920 runs

installs and imports cleanly · install 16.6s · import 0.000s · 198MB

205MB installed

● package 205MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

N/A

✓ dagit is a CLI tool, not a Python library for direct import.

The `dagit` package primarily provides the `dagit` command-line executable, which launches the Dagster UI. Users typically run `dagit` from the terminal rather than importing symbols from it in Python code.

To start Dagit, first define some Dagster assets or jobs in a Python file (e.g., `my_repo.py`). Then, launch Dagit from your terminal, pointing it to your definitions file. This will open the Dagster UI in your browser.

from dagster import asset, Definitions, job @asset def hello_asset(): return "Hello, Dagster World!" @job def my_simple_job(): hello_asset() defs = Definitions(assets=[hello_asset], jobs=[my_simple_job]) # Save this as `my_repo.py` then run `dagit -f my_repo.py` in your terminal.

dagit --version

Debug

Known issues

breakingDagit (and the underlying `dagster-webserver` package) versions must closely match the `dagster` core library version. Mismatched versions (e.g., `dagster==1.12.0` and `dagit==1.13.0`) can lead to runtime errors or unexpected UI behavior.

fix

Always install `dagit` and `dagster` with matching major and minor versions (e.g., `pip install 'dagster==1.13.*' 'dagit==1.13.*'`).

affects: All versions

gotchaDagit is primarily a CLI executable (`dagit`) used to launch the Dagster UI. It is not designed to be imported as a Python module within user-defined Dagster code (e.g., `import dagit`).

fix

Interact with Dagit via the command line. Define your Dagster assets, ops, and jobs using the `dagster` library, and then use `dagit -f path/to/your_definitions.py` to view them in the UI.

affects: All versions

breakingSince `dagster` version 1.12.18, `psycopg2-binary` is no longer a transitive dependency of `dagster-postgres`. If your Dagster project utilizes `dagster-postgres` and relies on `psycopg2-binary`, you must explicitly install it.

fix

If you use `dagster-postgres`, explicitly add `pip install psycopg2-binary` to your project's dependencies.

affects: >=1.12.18

gotchaRunning `dagit` without specifying any Dagster definitions (e.g., via `-f`, `-m`, or a `workspace.yaml` file) will result in an empty UI. Dagit needs to know where to find your code.

fix

Always provide a target for Dagit to load definitions from. For local development, use `dagit -f your_definitions.py` or `dagit -m your_package`.

affects: All versions

Upgrade

Version history

1.13.9latest on PyPI · released Jun 11, 2026

Audit

Dependencies

dagster-webserverrequiredProvides the core web server and Dagit executable functionality.

dagsterrequiredProvides the core Dagster framework for defining assets and operations, which Dagit visualizes.

Agent activity

27 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/dagster-io/dagster ↗

packagehttps://pypi.org/project/dagit/ ↗

homepagehttps://dagster.io/dagit ↗