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The 12 Best Free Machine Learning Software Tools in 2021

Finding the best machine learning tools can be an overwhelming endeavor. It is such a vast, new, and ever-evolving field, that developers find themselves spending as much time studying the software options as they spend studying the technology itself.

No matter what you intend to build, what programming language you use, or how experienced you are, there is a free and open-source machine learning tool out there that suits your needs. Here are 12 of the best chosen by the experts.

Topics Covered:

  • TensorFlow

  • Scikit-learn

  • PyTorch

  • Weka

  • Colab

  • Accord.Net


  • Keras

  • OpenNN

  • Apache Mahout

  • Shogun

  • Orange3


TensorFlow was originally created by the Google Brain team, and is still used by Google, but has since become free and open-source. It is a machine learning software library most commonly used for inference and training of deep neural networks. Get started with TensorFlow at https://www.tensorflow.org/


Scikit-learn is a free and open-source Python library for machine learning. It features a plethora of algorithms used for clustering, classification, regression, and more. It’s designed to work with other libraries commonly used for data science such as SciPy and Numpy.

Get started with Scikit-learn at https://scikit-learn.org/stable/


PyTorch is another Python library commonly used in machine learning. It was originally created by Facebook’s AI Research lab, but is now free and open-source. PyTorch is predominantly used for natural language processing and computer vision.

Get started with PyTorch at https://pytorch.org/


Weka is a free and open-source machine learning software developed by the University of Waikato in New Zealand. It was designed for the book “Data Mining: Practical Machine Learning Tools and Techniques” and specializes in predictive modeling and data analysis.

Get started with Weka at https://www.cs.waikato.ac.nz/ml/weka/


Google’s Colaboratory, better known as ‘Colab’, is a browser-based Python platform that is fully functional within the browser. In other words, a user can write and execute code, without downloading any additional software, using a Jupyter notebook. The service is free and available for anyone to use.

Get started with Colab at https://colab.research.google.com/notebooks/intro.ipynb


Rather than just a single library or tool, Accord.NET is an entire machine learning framework. It’s not only free and open-source, but can even be used for commercial use under the Gnu Lesser Public License, version 2.1. Accord.NET is written in C# and is most commonly used for statistics, computer vision, computer audition, and signal processing.

Get started with Accord.NET at http://accord-framework.net/

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Rather than a library, KNIME is a machine learning platform that focuses on data analytics and reporting. It was originally a proprietary product, produced by the University of Konstanz, but has since been released free and open-source. It is most commonly used for pharmaceutical research but has a wide array of other business intelligence use cases as well.

Get started with KNIME at https://www.knime.com/


Keras is another free and open-source Python library popularly used for machine learning. It was designed by Google engineer François Chollet, and acts as an interface for the TensorFlow library. Keras is used primarily for deep neural networks.

Get started with Keras at https://keras.io/


OpenNN is a free and open-source neural networks library, written in C++, used for machine learning and, more specifically, deep learning. OpenNN can be used in regression, classification, forecasting, and association. It was created by the International Center for Numerical Methods in Engineering but is currently being developed by the AI-startup Artelnics.

Get started with OpenNN at https://www.opennn.net/

Apache Mahout

Apache Mahout is a free and open-source project created by the Apache Software Foundation. It is designed to create machine learning algorithms, mostly focused on linear algebra, that are highly scalable. Past versions used Adobe Hadoop to do this but today it mostly uses Apache Spark.

Get started with Apache Mahout at https://mahout.apache.org/


Shogun is another free and open-source machine learning library written in C++ but offering support for Python, R, Ruby, Java, C#, and many other programming languages. It offers support for a wide variety of things, from regression and classification to Hidden Markov models, and is primarily used for education and research.

Get started with Shogun at https://www.shogun-toolbox.org/


Orange3 is a completely free and open-source machine learning toolkit for Python. It’s used for everything from data mining and visualization to preprocessing and modeling. It has an easy-to-use canvas interface making it a favorite of those newer to machine learning. However, it also has advanced features seasoned developers would need.

Get started with Orange3 at https://github.com/biolab/orange3

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