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Build workflows that scale

An open-source, in-browser tool for simplifying data processing
workflows with high-performance server support, featuring code history
and workflow orchestration.

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Go From Zero To Production 🏁

Experience the power of Geoweaver, your all-in-one solution for simplifying complex scientific workflows. Whether you're a seasoned researcher or a novice, our user-friendly, web-based platform allows you to effortlessly manage data processing tasks, saving you time and preserving your workflow history. Unlock the potential of online spatial data facilities, high-performance computation platforms, and open-source libraries with Geoweaver. Get started today and go from zero to production with ease.

Learn more about deploying with Geoweaver

Why choose Geoweaver?

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Safely Store all your progress along the way.
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Visualise your results using the tools that you already use.
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Stay organised throughout your research
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Supports CRON executions
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Seamlessly connect to external servers with SSH
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In-Built Web UI with full support for Python
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Projects

that already use Geoweaver


The SWE Workflow leverages Geoweaver, to help manage the complex python & shell scripts which are used to collect training data from various sources like GridMET, SRTM 90m, Modis and AMSR which is used to train the model to predict SWE in the western US.

Utilizing ground observations from the EPA and AirNow network, alongside remote sensing data, to calibrate CMAQ model for ozone prediction.

Free, Opensource &

Works where you WORK

Download the APP

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Goodness of Python 🐍, for every WORKFLOW.

Pygeoweaver

Geoweaver can now run directly inside your Jupyter notebooks and Python scripts, empowering you to effortlessly navigate complex scientific workflows with ease.

Install

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$ pip install pygeoweaver

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Get Started

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$ gw start

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Supported By

We thank our sponsors for supporting the development and maintenance of Geoweaver.

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