Programming language: F#
License: BSD 2-clause "Simplified" License
Latest version: v2.3.0

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.NET

    Cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
  • Accord.NET

    Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).
  • Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
    Sponsored scoutapm.com
  • TensorFlow.NET

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

    Framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence (image processing, neural networks, genetic algorithms, machine learning, robotics).
  • F# Data

    F# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data
  • Accord.NET Extensions

    Advanced image processing and computer vision algorithms made as fluent extensions.
  • encog-dotnet-core

    Encog Machine Learning Framework
  • numl

    5.5 0.0 L3 Deedle VS numl
    Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models.
  • Spreads

    Series and Panels for Real-time and Exploratory Analysis of Data Streams. Spreads library is optimized for performance and memory usage. It is several times faster than other open source projects.
  • R Provider

    Type provider that exposes R packages and functions in a type-safe way to F# callers
  • Catalyst

    Catalyst Cross-platform Natural Language Processing (NLP) library inspired by spaCy, with pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. Part of the SciSharp Stack
  • Synapses

    An in-memory neural network library written in F#.
  • Infer.NET

    A framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]
  • FsLab

    A collection of data science and machine learning libraries for F# and .NET
  • SciSharp STACK

    A rich machine learning ecosystem for .NET created by porting the most popular Python libraries to C#.

Do you think we are missing an alternative of Deedle or a related project?

Add another 'Machine Learning and Data Science' Package



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

Travis Build Status Azure DevOps Build Status

Deedle Nuget Deedle
Deedle.Math Nuget Deedle.Math


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:

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.

  • LinearAlgebra module provides linear algebra functions on frame.
  • Matrix module provides matrix multiplication between frame, series, matrix and vector. They are also available via type extensions.
  • Stats module provides extra statistical functions on frame and series by applying existing functions in MathNet.Numerics.
  • Finance module provides statistical functions specific to finance domain.


  • @alexpantyukhin
  • @zyzhu

All fsprojects and fslaborg projects have @fsprojectsgit as a backup maintainer who can help recruit new maintainers should things go cold.