Geoweaver is an in-browser software allowing users to easily compose and execute full-stack data processing workflows via taking advantage of online spatial data facilities, high-performance computation platforms, and open-source deep learning libraries. It provides 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!
Only two things basically:
Make it time affordable for less-coder scientists (who know nothing about WfMS) to manage their data processing workflows
Preserve all the model run history and share them along with the code files
A live demo site is available.
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.
This project is impossible without the support of several fantastic open source libraries.
d3.js - BSD 3-Clause
graph-creator - MIT License
bootstrap - MIT License
CodeMirror - MIT License
JQuery Terminal - MIT License