Code Quality Rank: L5
Programming language: C++
License: MIT License
Tags: Machine Learning    
Latest version: v0.0.4

Fido alternatives and similar libraries

Based on the "Machine Learning" category.
Alternatively, view Fido alternatives based on common mentions on social networks and blogs.

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    9.9 0.0 L1 Fido VS Caffe
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  • xgboost

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  • mxnet

    9.7 4.1 L1 Fido VS mxnet
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  • Dlib

    9.5 8.2 L1 Fido VS Dlib
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  • Caffe2

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  • vowpal_wabbit

    Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
  • CCV

    8.9 9.4 L2 Fido VS CCV
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  • catboost

    A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
  • mlpack

    8.5 9.9 L1 Fido VS mlpack
    mlpack: a fast, header-only C++ machine learning library

    7.9 4.8 L1 Fido VS SHOGUN
  • Porcupine  

    On-device wake word detection powered by deep learning
  • Minerva

    DISCONTINUED. A fast and flexible system for deep learning. [Apache2]

    RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
  • MeTA

    5.3 0.0 L3 Fido VS MeTA
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  • Recommender

    A C library for product recommendations/suggestions using collaborative filtering (CF)
  • NN++

    3.2 0.0 L3 Fido VS NN++
    A small and easy to use neural net implementation for C++. Just download and #include!
  • faiss-server

    faiss serving :)
  • OpenHotspot

    DISCONTINUED. OpenHotspot is a machine learning, crime analysis framework written in C++11.
  • gaenari

    c++ incremental decision tree
  • sofia-ml

    The suite of fast incremental algorithms for machine learning. [Apache2]

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MIT License Join the chat at https://gitter.im/FidoProject/Fido

Fido is an lightweight, highly modular C++ machine learning library for embedded electronics and robotics. Fido is especially suited for robotic and embedded contexts, as it is written in C++ with minimal use of the standard library, comes packaged with a robotic simulator, and provides and easy interface in which to write robotic drivers.

Check out the project site and documentation for more information.

The library was adapted from a universal robot control system.


The Fido library was primarily developed by Michael Truell. Joshua Gruenstein helped develop Fido's robotic simulator. Most of his commits are to the schematics and paper of a decoupled research study that he and Michael performed together.

Beta Status

This library is in beta. It has been used in a couple of projects, but the API may still change in backward-incompatible ways. There are definetly bugs.


Send us a pull request. If you are looking for things to do, check out the repo's open issues. If you find a bug or have any trouble with the library, please open an issue. We are happy to help you out.




*Note that all licence references and agreements mentioned in the Fido README section above are relevant to that project's source code only.