Dataware-tools are tools for researchers that enrich the value of data.
For more information about the tool, please refer the document.
Roles or contents of the repositories in this organization are listed below:
Repository Name | Contents |
---|---|
app-* | Frontend web-applications |
api-* | Backend APIs for web-applications |
docs | This document |
manifests | Manifest files for deployment |
protocols | API Specifications |
pydtk | Python toolkit |
test-infra | Infrastructure for Dev/Ops |
web-deployment | Common CI/CD |
Basically, web-applications in this organization depends on APIs separated into multiple repositories.
So most of the applications do not work standalone.
Please read the section below to use the applications.
Please refer dataware-tools/pydtk.
A demo of our web-app is available at https://demo.dataware-tools.com/.
If you want to deploy the application in you environment, please prepare a Kubernetes cluster and use the manifest files maintained in dataware-tools/manifests.
This project is maintained by the following working-groups.
Group Name | Purpose |
---|---|
wg-deployment |
Maintain manifest files and development / testing infrastructure |
wg-machine-learning |
Develop machine-learning related tools |
wg-web-app |
Develop web applications |
Please contact [email protected].