dataenforce VS PythonNet

Compare dataenforce vs PythonNet and see what are their differences.

dataenforce

Python package to enforce column names & data types of pandas DataFrames (by CedricFR)

PythonNet

Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers. (by pythonnet)
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dataenforce PythonNet
2 37
208 4,364
- 1.1%
0.0 7.0
about 3 years ago 7 days ago
Python C#
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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dataenforce

Posts with mentions or reviews of dataenforce. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.
  • Swift for TensorFlow Shuts Down
    13 projects | news.ycombinator.com | 12 Feb 2021
    The dependence on library authors is always a challenge in any language. You might have one author using `[a]` where another uses `PositiveNumeric a, Fin n => NonEmptyList n a` for the same thing. You can always just annotate whatever the library author used (e.g. they return a list of strings, so you use List[str]).

    There are some interesting further add ons that seem very python, allowing you to go further. For example, with a pandas dataframe you can just say your type is a dataframe which isn't so useful, but it's possible to hack your own types onto it in the vein of https://github.com/CedricFR/dataenforce, or use things like https://smarie.github.io/python-vtypes/ to get smarter typing on things the authors didn't type. I expect that trend will continue.

    What fascinates me about python's types is actually the very fact that they are bolted on. You have a language that lets you do crazy things and a type system trying to catch up and make it convenient to verify those crazy things. It's a nice complement to the usual developments of verifying all of the things and slowly extending the set of things you can do.

  • [D] Question: Do you enforce a data format in Pandas? When collecting data over a long period of time, wouldn't it be useful to use a system with versioned schemas that specify how various data entries must be formatted? Give me feedback on this Open Source idea:
    1 project | /r/MachineLearning | 5 Feb 2021
    https://github.com/CedricFR/dataenforce enforces column names and types, no versioning though. My first instinct is that important data should be stored in databases which enforce schemas, and that should be separate from the python code that reads it.

PythonNet

Posts with mentions or reviews of PythonNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-18.

What are some alternatives?

When comparing dataenforce and PythonNet you can also consider the following projects:

swift - Swift for TensorFlow

Iron python - Implementation of the Python programming language for .NET Framework; built on top of the Dynamic Language Runtime (DLR).

MLJ.jl - A Julia machine learning framework

PyWin32 - python for windows extensions

julia - The Julia Programming Language

WinPython - A free Python-distribution for Windows platform, including prebuilt packages for Scientific Python.

YOLOv4 - Port of YOLOv4 to C# + TensorFlow

CefSharp - .NET (WPF and Windows Forms) bindings for the Chromium Embedded Framework

py2many - Transpiler of Python to many other languages

CppSharp - Tools and libraries to glue C/C++ APIs to high-level languages

Enzyme.jl - Julia bindings for the Enzyme automatic differentiator

NuGetForUnity - A NuGet Package Manager for Unity