| F# Data | numl | |
|---|---|---|
| 6 | - | |
| 805 | 429 | |
| 0.5% | - | |
| 6.8 | 0.0 | |
| 12 days ago | over 5 years 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.
numl
We haven't tracked posts mentioning numl yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming
Accord.NET
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Accord.NET Extensions
R Provider - Access R packages from F#
Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
encog-dotnet-core
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.
Infer.NET - UAI 2015. Kernel-based just-in-time learning for expectation propagation