Geoweaver

2018 ESIP Lab Incubator Project

Geoweaver is an in-browser software allowing users to easily compose and execute full-stack data processing workflows by taking advantage of online spatial data facilities, high-performance computation platforms, and open-source deep learning libraries. It provides an all-in-one capacity covering server management, code repository, workflow orchestration software, and history recorder.

It can be run from both local and remote (distributed) machines.

GeoWeaver is a community effort. Any contribution is welcome and greatly appreciated!

Software Goals

Only two fundamental objectives:

1. Make it time affordable for scientists with less-coding experience (who are unaware of WfMS) to manage their data processing workflows.

2. Preserve every model run history and share them along with the code files.

Tutorial

• Create and Manipulate Hosts

• Create and Run Processes

• Create, Run, and Export Workflows

• Jupyter Recording

Installation

Click here for the steps

Demo

A live demo site is available.

Citation

If you found Geoweaver helpful in your research.

please cite: Sun, Z. et al., "Geoweaver: Advanced cyberinfrastructure for managing hybrid geoscientific AI workflows." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 119.

Dependencies

This project is impossible without the support of several remarkable open-source libraries.

• d3.js - BSD 3-Clause

• graph-creator - MIT License

• bootstrap - MIT License

• CodeMirror - MIT License

• JQuery Terminal - MIT License

Community

Geoweaver owes its success to the hard work of its many community members who generously devoted their time and effort to the project.

Please find the full contributor list below: developer list

License

MIT