Data/Document Work Flow is a set of .NET C# libraries to build simple cross-platform information system:
- DataWF.Common - collections, reflections, io and networks helpers
- DataWF.Data - cross RDBMS ORM
- DataWF.Gui - Xwt based desktop UI
- DataWF.Data.Gui - Database desktop UI
- DataWF.Module.Flow - Document work flow module
- DataWF.Mudule.FlowGui - Configure, create, edit, send document throw the flow
Sources: https://github.com/alexandrvslv/datawf
Features
- ORM
- Desktop UI
- Document work flow
License
MIT LicenseFollow Data/Document WF
nel_h2
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Data/Document WF!