Thoth.Json.Net VS F# Data

Compare Thoth.Json.Net vs F# Data and see what are their differences.

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Thoth.Json.Net F# Data
1 6
31 805
- 0.6%
0.0 6.8
about 1 year ago 12 days ago
F# F#
MIT License GNU General Public License v3.0 or later
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Thoth.Json.Net

Posts with mentions or reviews of Thoth.Json.Net. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-29.
  • Recommended libraries / frameworks for web services
    6 projects | /r/fsharp | 29 Apr 2021
    For JSON is use https://github.com/thoth-org/Thoth.Json.Net which is more or less Elm's way of doing it. For each type I provide functions to decode and encode JSON, so I can go straight from raw string into rich business model. No need to be JSON 1:1 F# Model, see:

F# Data

Posts with mentions or reviews of F# Data. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-21.

What are some alternatives?

When comparing Thoth.Json.Net and F# Data you can also consider the following projects:

Falco - A toolkit for building fast and functional-first web applications using F#.

Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming

Npgsql.FSharp - Thin F# wrapper around Npgsql, the PostgreSQL database driver for .NET

TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

FSharp.Data.Npgsql - F# type providers to support statically typed access to input parameters and result set of sql statement in idiomatic F# way. Data modifications via statically typed tables.

R Provider - Access R packages from F#

Donald - A lightweight, generic F# database abstraction.

Accord.NET

VisualFSharp - The F# compiler, F# core library, F# language service, and F# tooling integration for Visual Studio

AForge.NET - AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.

numl - Machine Learning for .NET

Infer.NET - UAI 2015. Kernel-based just-in-time learning for expectation propagation