Hydrus
Streamlining the data collection sustainability was our aim behind creating this analytics platform. We used Python in it’d backend, and React JS was used in the front end. We also have used PostgreSQL by accessing it through MongoDB and GraphQL.
Libraries/ Packages, 3rd Party Integrations we implemented are ant-design, apollo/react-hooks, arcadia-eng/connect-react, ckeditor/ckeditor5-build-decoupled-document, ckeditor/ckeditor5-react, ginkgo-bioworks/react-json-schema-form-builder, nivo, apollo-cache-inmemory, apollo-client, apollo-link-schema, aws-amplify, aws-amplify-react, aws-appsync, aws-appsync-react, graphql.
On its homepage, we introduced the features like task management, goals and progress checking, a news feed, data download, and collection options, mass data uploading, learning centers, and document add or editing options. Our developers also used task trackers that enable task filtering using the features, status, priority, or task names. Account editing details are also available in Hydrus.