dagster-webserver
Web UI for dagster.
Decision gist · record as of 2026-08-14
Yes. Dagster-webserver is actively maintained, has no known vulnerabilities, and installs with low friction. If you are using Dagster for data orchestration, the webserver is the standard UI layer and worth installing to gain visibility into your pipelines. The permissive Apache 2.0 license poses no barrier to adoption.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports up to 3.14).
- Dagster core package must be installed and assets defined before the webserver can serve them.
- Low friction installation with a wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions; you must retain license notices in distributions.
last release 2026-08-07 (7 days) · last repo commit 2026-08-13 · 15,996 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 7,979,177 downloads/mo, #1,675 on PyPI
Alternatives
Verify before relying
pip install dagster-webserver
import dagster as dg
from dagster_webserver import webserver
# After defining assets with @dg.asset, run:
webserver.start()- Whether the webserver requires specific configuration or environment variables to connect to a Dagster instance.
- Performance characteristics and resource requirements for serving large asset graphs or high-frequency updates.
What it is and what it does
Dagster-webserver is the web UI component of Dagster, a cloud-native data orchestration platform. It provides a browser-based interface for visualizing, monitoring, and managing data assets and pipelines defined in Dagster. The webserver runs on top of the core dagster package and uses starlette and uvicorn to serve a dynamic web application that displays asset lineage, execution history, and observability data.
You install it alongside dagster to gain a graphical view of your data workflows. Once your assets are defined as Python functions decorated with @dg.asset, the webserver displays them as an interactive graph, tracks their execution, and surfaces metadata and logs. It's designed to work across the full development lifecycle—from local testing through production—and integrates with Dagster's declarative asset model and built-in observability features.
Use it for
- Visualize and monitor data asset dependencies and execution status in a centralized dashboard.
- Debug data pipeline failures by inspecting logs, lineage, and asset metadata through the UI.
- Track data quality and performance metrics across your asset graph in real time.
- Manage and trigger manual runs of assets or jobs from a browser without writing code.
- Explore asset lineage and understand how data flows through your organization's pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Dagster-webserver is actively maintained, has no known vulnerabilities, and installs with low friction. If you are using Dagster for data orchestration, the webserver is the standard UI layer and worth installing to gain visibility into your pipelines. The permissive Apache 2.0 license poses no barrier to adoption.
Install
dagster-webserver on PyPI
Before you install
Low friction installation with a wheel distribution. Active maintenance—released 7 days ago with a recent commit history and no known vulnerabilities. Depends on five runtime packages including dagster, starlette, and uvicorn.
Requires Python 3.10 or later (supports up to 3.14). Dagster core package must be installed and assets defined before the webserver can serve them.
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions; you must retain license notices in distributions.
Quickstart
pip install dagster-webserver
import dagster as dg
from dagster_webserver import webserver
# After defining assets with @dg.asset, run:
webserver.start()Verify before relying
- Whether the webserver requires specific configuration or environment variables to connect to a Dagster instance.
- Performance characteristics and resource requirements for serving large asset graphs or high-frequency updates.
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 | 5 packagesclickdagster-graphqldagsterstarletteuvicorn |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 7,979,177 / month, #1,675 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dagster_webserver-1.13.17-py3-none-any.whl
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See also dagit · dagster-cloud-cli · dagster-graphql · dagster-rest-resources · dagster · dagster-pandera · dagster-pipes · dagster-ssh · dagster-dg-core · dagster-dg-cli