Data Science

Schematics – Python library to combine types into structures, validate them, and transform the shapes of data

Schematics is a Python library to combine types into structures, validate them, and transform the shapes of your data based on simple descriptions.

The internals are similar to ORM type systems, but there is no database layer in Schematics. Instead, we believe that building a database layer is made significantly easier when Schematics handles everything but writing the query.

Further, it can be used for a range of tasks where having a database involved may not make sense.

Schematics is free and open source software.

Common use cases:

  • Design and document specific data structures.
  • Convert structures to and from different formats such as JSON or MsgPack.
  • Validate API inputs.
  • Remove fields based on access rights of some data’s recipient.
  • Define message formats for communications protocols, like an RPC.
  • Custom persistence layers.

Website: github.com/schematics/schematic
Support:
Developer: Schematics developers
License: The BSD License

Schematics is written in Python. Learn Python with our recommended free books and free tutorials.


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