Automatisierung
ferret
Declarative data automation language and Go runtime for structured extraction workflows.
★ 6,0 Tsd. SterneApache-2.0
Anleitung ansehen →waoowaoo ist ein Open-Source-Projekt aus der Kategorie Automatisierung von waooAI (waooAI/waoowaoo auf GitHub). Es hat 14.351 Sterne auf GitHub und 3.130 Forks, wird unter der Lizenz Unknown veröffentlicht und wurde zuletzt am 21. September 2026 auf GitHub aktualisiert.
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Link the services you already use through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that.
Branch on conditions, loop over items, or pipe steps through language models.
Turn the workflow on and watch executions in the run history.
Designed to run unattended: triggers, schedules, and webhooks.
The automation is free; you only pay for your own server.
Cron, webhooks, and events keep flows running 24/7.
Call LLMs mid-workflow for decisions and extraction.
Credentials and execution data stay on your infrastructure.
Prebuilt connectors plus HTTP, webhooks, and database nodes.
Download the source and move into the project folder.
git clone https://github.com/waooAI/waoowaoo.git
cd waoowaooEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at waooAI/waoowaoo with 3,130 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Licensed under Unknown — check the repo for commercial-use terms.
The core software is open-source and free to self-host; managed clouds exist if you prefer.
Docker and a small VPS or home server cover most of these.
Same idea, but self-hosted with no per-task pricing.
Declarative data automation language and Go runtime for structured extraction workflows.
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Verwandte Projekte der Kategorie Automatisierung im Katalog, die waoowaoo bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.