Dagster

Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports. With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date. Dagster is the open-source project dagster-io/dagster (https://github.com/dagster-io/dagster) by dagster-io, released under Apache-2.0. Ion packages it unmodified from commit fe6cbed57291, adding only a manifest, an icon and a start script.

Written by dagster-io, published to Oikou by Ben Grande.

• ★ 16,224 stars on GitHub
• Licence: Apache-2.0
• Upstream version 1.13.24
• Built from commit fe6cbed57291

View the repository on GitHub

Not rated. Nobody has said who this app is suitable for, so Personal Clouds and the Oikou app treat it as 18+.

Internet

It asks to reach these hosts, and no others:

• dagster-telemetry.vercel.app
• dagster.io

Personal Cloud tools

None. It uses nothing from your Personal Cloud beyond its own storage.

Notifications

It does not send push notifications.

Storage

Up to 512 MB on your Personal Cloud.

Its address

Works best with its own address. A Personal Cloud shared through Cloudflare can give it one; on a private Personal Cloud on Tailscale it opens under your Personal Cloud’s address, where it may not work fully. Private and shared Personal Clouds

Sign in to add this web app to a Personal Cloud of yours. It runs there, on your own computer, and you open it from there; nothing is installed on your phone.

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