F# Data
Catalyst
| F# Data | Catalyst | |
|---|---|---|
| 6 | 1 | |
| 805 | 679 | |
| 0.6% | 1.8% | |
| 6.8 | 5.5 | |
| 14 days ago | 23 days ago | |
| F# | C# | |
| GNU General Public License v3.0 or later | MIT License |
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.
F# Data
-
A new Excel add-in for custom functions and much more using F#. A replacement for VBA?
It is a brilliant tool for being able to import and export data in almost any format from your local computer, a database or across the web. For common data formats like csv, xml, and json, the Type Providers in FSharp.Data allow you automatically generate a type safe API against a sample file.
-
Why learn Racket? A student's perspective
F# has this kind of stuff also, where it will dynamically type data dynamic sources like databases or rest calls, etc. for an example https://fsprojects.github.io/FSharp.Data/
- Twenty Years of C# with Anders Hejlsberg [audio]
- FSharp.Data: Data Access Made Simple
- FSharp.Data 4.1.1 Released
-
F# Async Webrequest?
Have a look at the FSharp.Data library. It has bunch of cool stuff including Http.
Catalyst
-
OverlordBot 3.0.1 released & Sunsetting plans
https://github.com/curiosity-ai/catalyst might be an option but I haven't looked into it in detail.
What are some alternatives?
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming
ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
R Provider - Access R packages from F#
numl - Machine Learning for .NET
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.
Accord.NET
Accord.NET Extensions
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies