Open Source Python Education Software

Python Education Software

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Browse free open source Python Education Software and projects below. Use the toggles on the left to filter open source Python Education Software by OS, license, language, programming language, and project status.

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  • 1
    Zero Install
    Zero Install is a decentralised cross-distribution software installation system. Create one package that works everywhere! With dependency handling and automatic updates, full support for shared libraries, and integration with native package managers
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    Downloads: 3,601 This Week
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  • 2
    Brain Workshop

    Brain Workshop

    Python implementation of the Dual N-Back mental exercise

    Brain Workshop is a Python implementation of the Dual N-Back mental exercise. This exercise is the only mental activity that has been scientifically shown to improve your short-term memory (working memory) and fluid intelligence.
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    Downloads: 571 This Week
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  • 3
    Simulation of Urban MObility

    Simulation of Urban MObility

    SUMO is a microscopic, multi-modal traffic simulation.

    SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation. The code and the issue tracker can be found at https://github.com/eclipse-sumo/sumo/ The documentation can be found at https://sumo.dlr.de/docs/
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    Downloads: 433 This Week
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  • 4
    eXe

    eXe

    eLearning XHTML editor

    eXe, the eLearning XHTML editor, is a freely available authoring application that assists teachers in the publishing of web content without the need to become proficient in HTML or XML markup. Resources authored in eXe can be exported to the web or LMS.
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    Downloads: 288 This Week
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  • 5
    eduActiv8

    eduActiv8

    A collection of interactive educational exercises

    eduActiv8 is a free Open Source multi-platform educational application that aims to assist in learning various early education topics - from learning the alphabet and new words, colours, time to a wide range of maths-related subjects. eduActiv8 is a continuation of the development of the pySioGame project just under a new name. It is being developed on GitHub at: https://github.com/imiolek-ireneusz/eduActiv8 but 'compiled' releases are published here. The latest version has been partially redesigned to improve usability, but certain activities will still be in the somewhat "prototype quality" - this will be gradually redesigned as time allows. Currently, it is available for Windows, MacOS, Linux and Android (you may need to allow unknown sources to install it on Android). Packages for multiple Linux distributions are available from: https://software.opensuse.org//download.html?project=home%3Aimiolek-i&package=eduactiv8 Support eduActiv8 at https://ko-fi.com/eduactiv8
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    Downloads: 493 This Week
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  • 6

    Massar Auto-Sign

    Automatisation de la signature et du cachet des bulletins scolaires

    تطبيق"Massar Auto-Sign" هو أداة مجانية موجهة للادارة التربوية بالمغرب. يهدف البرنامج إلى أتمتة عملية توقيع وختم بيانات النقط المستخرجة من منظومة مسار بشكل آلي وسريع. Massar Auto-Sign est un utilitaire gratuit conçu pour l'administration pédagogique marocaine. Il permet d'automatiser entièrement la tâche fastidieuse de signature et de tamponnage des bulletins de notes (PDF) exportés depuis la plateforme Massar.
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    Downloads: 782 This Week
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  • 7
    Mnemosyne resembles a traditional flash-card program but with an important twist: it uses a sophisticated algorithm to schedule the best time for a card to come up for review.
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    Downloads: 153 This Week
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  • 8
    Educational activities based on multimedia elements (images, sounds, and text). ie. associations, puzzles, counting activities... Creation and modification of the activities using XML files. Multiple language support, multiple screen resolutions (SVG
    Downloads: 101 This Week
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  • 9
    Recommenders

    Recommenders

    Best practices on recommendation systems

    The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. Please see the setup guide for more details on setting up your machine locally, on a data science virtual machine (DSVM) or on Azure Databricks. Independent or incubating algorithms and utilities are candidates for the contrib folder. This will house contributions which may not easily fit into the core repository or need time to refactor or mature the code and add necessary tests.
    Downloads: 18 This Week
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  • 10
    GNU Solfege
    GNU Solfege is *free* ear training software written in Python 3.4 using the Gtk+ 3 toolkit. The program is designed to be easily extended with lesson files (data files), so the user can create new exercises.
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    Downloads: 60 This Week
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  • 11
    schoolsplay
    If you are looking for the childsplay application please go to http://www.childsplay.mobi
    Downloads: 52 This Week
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  • 12
    Web Security Dojo

    Web Security Dojo

    Virtual training environment to learn web app ethical hacking.

    Web Security Dojo is a virtual machine that provides the tools, targets, and documentation to learn and practice web application security testing. A preconfigured, stand-alone training environment ideal for classroom and conferences. No Internet required to use. Ideal for those interested in getting hands-on practice for ethical hacking, penetration testing, bug bounties, and capture the flag (CTF). A single OVA file will import into VirtualBox and VMware. There is also an Ansible script for those brave souls that want transform their stock Ubuntu into a virtual dojo. Bow to your sensei! username: dojo password: dojo
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    Downloads: 63 This Week
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  • 13
    Neural MMO

    Neural MMO

    Code for the paper "Neural MMO: A Massively Multiagent Game..."

    Neural MMO is a massively multi-agent simulation environment developed by OpenAI for reinforcement learning research. It provides a persistent, procedurally generated world where thousands of agents can interact, compete, and cooperate in real time. The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term training and emergent dynamics across large populations. The project is built to test scalability in multi-agent reinforcement learning, with features such as procedurally generated terrain and configurable game mechanics. While the original release has since been succeeded by newer versions maintained outside OpenAI, it remains a landmark framework for studying large-scale agent interactions in complex environments.
    Downloads: 8 This Week
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  • 14
    Machine Learning PyTorch Scikit-Learn

    Machine Learning PyTorch Scikit-Learn

    Code Repository for Machine Learning with PyTorch and Scikit-Learn

    Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing what this book covers in general, I’d describe it as a comprehensive resource on the fundamental concepts of machine learning and deep learning. The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. Then, the second half of this book focuses on deep learning, including applications to natural language processing and computer vision.
    Downloads: 7 This Week
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  • 15
    GCompris : I got IT

    GCompris : I got IT

    Educational Software for children aged 2 to 10.

    GCompris is a high quality educational software suite comprising of numerous activities for children aged 2 to 10. Some of the activities are game oriented, but nonetheless still educational.
    Downloads: 35 This Week
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  • 16
    Mastering Bitcoin

    Mastering Bitcoin

    Mastering Bitcoin 3rd Edition - Programming the Open Blockchain

    The bitcoinbook repository contains the source code for Mastering Bitcoin, the authoritative open-source book by Andreas M. Antonopoulos on Bitcoin and cryptocurrency technologies. Written in a collaborative and continuously updated format using Markdown and AsciiDoc, the book serves as a comprehensive technical guide for developers, engineers, and system architects who want to understand how Bitcoin works. It covers the protocol, cryptography, peer-to-peer architecture, wallets, mining, and application development.
    Downloads: 4 This Week
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  • 17
    OpenTeacher
    OpenTeacher is an opensource application that helps you learn a foreign language vocabulary. Just enter some words in your native and foreign language, and OpenTeacher tests you.
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    Downloads: 18 This Week
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  • 18
    DeepLearning

    DeepLearning

    Deep Learning (Flower Book) mathematical derivation

    " Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling and practical methods, and investigates topics such as natural language processing, Applications in speech recognition, computer vision, online recommender systems, bioinformatics, and video games. Finally, the Deep Learning book provides research directions covering theoretical topics including linear factor models, autoencoders, representation learning, structured probabilistic models, etc.
    Downloads: 3 This Week
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  • 19
    Automatically geocode pictures from your camera and a GPS track log. Following Google code closure the only official webpage is (doc, support, code) : https://github.com/notfrancois/GPicSync
    Downloads: 16 This Week
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  • 20
    Canorus

    Canorus

    Music score editor

    Canorus is a free cross-platform music score editor. It supports an unlimited number and length of staffs, polyphony, a MIDI playback of notes, chord markings, lyrics, import/export filters to formats like MIDI, MusicXML, ABC Music, MusiXTeX and LilyPond
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    Downloads: 21 This Week
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  • 21
    PowerTalk automatically speaks Microsoft PowerPoint presentations. For presenters who find speaking difficult, audiences containing people with visual impairments and fun educational uses. Uses synthesised computer speech provided with Windows
    Downloads: 18 This Week
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  • 22
    "Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
    Downloads: 15 This Week
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  • 23
    A Machine Learning Course with Python

    A Machine Learning Course with Python

    A course about machine learning with Python

    The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python. Machine Learning, as a tool for Artificial Intelligence, is one of the most widely adopted scientific fields. A considerable amount of literature has been published on Machine Learning. The purpose of this project is to provide the most important aspects of Machine Learning by presenting a series of simple and yet comprehensive tutorials using Python. In this project, we built our tutorials using many different well-known Machine Learning frameworks such as Scikit-learn. In this project you will learn what is the definition of Machine Learning? When it started and what is the trending evolution? What are the Machine Learning categories and subcategories? What are the mostly used Machine Learning algorithms and how to implement them?
    Downloads: 2 This Week
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  • 24
    Archivematica

    Archivematica

    Free and open-source digital preservation system

    Archivematica is a web- and standards-based, open-source application which allows your institution to preserve long-term access to trustworthy, authentic, and reliable digital content. Our target users are archivists, librarians, and anyone working to preserve digital objects. You are free to copy, modify, and distribute Archivematica with attribution under the terms of the AGPLv3 license. Archivematica is an open-source application based on recognized standards that makes it possible to preserve long-term access to your institution's digital content. Archivematica is a set of free software tools that allow the user to process digital objects from the moment they are entered into the system until their publication according to the ISO-OAIS functional model. The user can monitor and control the ingestion and preservation of micro-services through the control panel. Archivematica uses standards such as METS, PREMIS, Dublin Core, and the BagIt specification.
    Downloads: 2 This Week
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  • 25
    D2L.ai

    D2L.ai

    Interactive deep learning book with multi-framework code

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist.
    Downloads: 2 This Week
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