Deedle alternatives and similar packages
Based on the "Machine Learning and Data Science" category.
Alternatively, view Deedle alternatives based on common mentions on social networks and blogs.
ML.NET9.6 7.0 Deedle VS ML.NETML.NET is an open source and cross-platform machine learning framework for .NET.
Accord.NET9.5 6.7 L2 Deedle VS Accord.NETMachine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).
TensorFlow.NET8.3 1.3 Deedle VS TensorFlow.NET.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
AForge.NET7.1 0.0 L2 Deedle VS AForge.NETAForge.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.
F# Data6.3 4.5 Deedle VS F# DataF# Data: Library for Data Access
Accord.NET Extensions6.1 0.0 L5 Deedle VS Accord.NET ExtensionsAdvanced image processing and computer vision algorithms made as fluent extensions.
encog-dotnet-core5.5 0.0 Deedle VS encog-dotnet-coreEncog Machine Learning Framework
numl5.3 0.0 L3 Deedle VS numlMachine Learning for .NET
Catalyst5.0 5.6 Deedle VS 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.
Spreads4.6 3.5 Deedle VS SpreadsSeries and Panels for Real-time and Exploratory Analysis of Data Streams
R Provider4.3 0.0 Deedle VS R ProviderAccess R packages from F#
Synapses2.3 0.0 Deedle VS SynapsesA group of neural-network libraries for functional and mainstream languages
Infer.NET1.8 0.0 Deedle VS Infer.NETUAI 2015. Kernel-based just-in-time learning for expectation propagation
FsLab1.4 0.0 Deedle VS FsLabFsLab project templates - download as ZIP to get started!
SciSharp STACKA rich machine learning ecosystem for .NET created by porting the most popular Python libraries to C#.
Clean code begins in your IDE with SonarLint
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Deedle or a related project?
Deedle is an easy to use library for data and time series manipulation and for scientific programming. It supports working with structured data frames, ordered and unordered data, as well as time series. Deedle is designed to work well for exploratory programming using F# and C# interactive console, but can be also used in efficient compiled .NET code.
The library implements a wide range of operations for data manipulation including advanced indexing and slicing, joining and aligning data, handling of missing values, grouping and aggregation, statistics and more.
Install .Net SDK 3.0.100 or higher
Windows: Run fake build
Linux/Mac: Run ./fake.sh build
More information can be found in the documentation.
- Quick start tutorial shows how to use the most important features of Deedle. Start here for a 10 minute intro!
- Data frame features provides more examples of using data frames including slicing, joining, grouping and aggregation.
- Time series features discusses data and time-series manipulation, such as sliding windows, sampling and statistics.
- Using Deedle from C# shows the idiomatic C# API for working with Deedle.
Automatically generated documentation for all types, modules and functions in the library is available in the API Reference:
Seriesmodule for working with data and time-series values
Framemodule for data frame manipulation
Statsmodule for statistical functions, moving windows and a lot more.
More functions related to linear algebra, statistical analysis and financial analysis can be found in Deedle.Math extension. Deedle.Math has dependency on MathNet.Numerics.
LinearAlgebramodule provides linear algebra functions on frame.
Matrixmodule provides matrix multiplication between frame, series, matrix and vector. They are also available via type extensions.
Statsmodule provides extra statistical functions on frame and series by applying existing functions in MathNet.Numerics.
Financemodule provides statistical functions specific to finance domain.
All fsprojects and fslaborg projects have @fsprojectsgit as a backup maintainer who can help recruit new maintainers should things go cold.