Open Source ChromeOS Education Software - Page 5
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Education Software for ChromeOS
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The All-in-One Commerce Platform for Businesses - ShopifyShopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
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Anti-Plagiarism - software designed to effectively detect and thereby prevent plagiarism. It is a versatile tool to deal with World Wide Web copy-pasting information from the assignment of authorship. The goal of this program is to help reduce the impact of plagiarism on education and educational institutions. Checking documents in a format *.rtf, *.doc, *.docx, *.pdf Check the source code C, C++, C#, Java, ... Download - https://sourceforge.net/projects/antiplagiarismc/files/AntiPlagiarism.jnlp Documentation - https://sourceforge.net/projects/antiplagiarismc/files/doc_us.pdf
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Is an easy software writen in java for paint on Desktop. The finaly is to use in a learning enviroment with a digital whiteboard. You can also use it to paint your screencast and screenshots.
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NumericalChameleon
a free cross platform precise unit converter, supports 6000+ units
The NumericalChameleon is a free, open source, cross platform software in order to convert units. It converts numbers with a precision of up to 1000 significant figures. It supports more than 6000 units in 94 categories. It has been localized in 10 languages. -
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Wordcorr
Data management for comparative linguistics
Wordcorr automates the tedious and risky process of tabulating and managing the sound correspondences used in working out the historical development of natural languages. Initial support was from NSF. -
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NET-Simulator was created to help lecturers and students in the study of computer networks. Students can build virtural networks in the virtual environment provided by NET-Simulator. These devices are controlled by means of command line interface.
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Diccionario de rimas, basado en el diccionario de cronopista.com. Búsqueda de rimas consonantes y asonantes teniendo en cuenta el número de sílabas y comienzo de palabra, así como contador de versos y búsqueda en línea en RAE y diccionario de sinó
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ILIAS is a web base learning management system (LMS, VLE). Features: Courses, SCORM 1.2 and 2004, mail, forum, chat, groups, podcast, file sharing, authoring, CMS, test, wiki, personal desktop, LOM, LDAP, role based access, see http://www.ilias.de/
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Docear
An Academic Literature Suite
Docear (pronounced dog-ear) is what we call an “academic literature suite”. It integrates everything you need to search, organize and create academic literature in a single application: a digital library, reference manager, PDF and file manager, note taking and mind mapping. And the best: Docear works seemlessly with many existing tools like Mendeley, Microsoft Word, and Foxit Reader. Docear is free and open source, based on Freeplane, funded by the German Federal Ministry of Technology and developed by scientists from around the world, among others from OvGU, and the University of California, Berkeley. -
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jMIR
Music research software
jMIR is an open-source software suite implemented in Java for use in music information retrieval (MIR) research. It can be used to study music in the form of audio recordings, symbolic encodings and lyrical transcriptions, and can also mine cultural information from the Internet. It also includes tools for managing and profiling large music collections and for checking audio for production errors. jMIR includes software for extracting features, applying machine learning algorithms, applying heuristic error error checkers, mining metadata and analyzing metadata. -
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3 Rs of Software Architecture
A guide on how to write readable, reusable, and refactorable software
This guide aims to help software developers think more clearly about how to build systems that are not only functional today but maintainable into the future. It focuses on three architectural “ilities”: readability, reusability, and refactorability, presenting them in a hierarchical framework so developers can evaluate and improve their code and system design. The project uses a simple shopping-cart application written in JavaScript and React/Redux to illustrate how code evolves from “bad” via “better” to “good” across those three dimensions. By examining common smells—poor naming, deep nesting, long functions, tight coupling—readers learn how to restructure code to improve maintainability. It is targeted at developers of any experience level, though beginners will find its concrete examples especially useful. The tutorial-style repository includes code with comments and comparisons between less readable and more readable versions, promoting intentional design. -
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CS Notes
Essential knowledge for technical interviews, Leetcode, and OS
CS-Notes is a comprehensive, community-driven collection of study materials and technical notes for computer science students and professionals. Created by CyC2018, the repository consolidates essential computer science topics, algorithm solutions, and interview preparation materials in one well-organized resource. It covers a broad range of subjects, including data structures, algorithms, operating systems, networks, databases, and Java development. The repository also includes sections on system design, distributed systems, caching, and message queues, providing practical knowledge relevant to software engineering interviews and real-world applications. In addition, it emphasizes code readability, clean coding practices, and proper documentation formatting. The notes follow the Chinese copywriting typesetting guidelines for improved readability, and the project employs consistent HTML-based image formatting to maintain a polished, uniform presentation across all documents. -
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Clean Code JavaScript
Clean Code concepts adapted for JavaScript
clean-code-javascript adapts Robert C. Martin’s Clean Code principles to the JavaScript ecosystem, presenting them as pragmatic, example-driven guidelines rather than a prescriptive style guide. It focuses on writing code that is readable, searchable, testable, and easy to refactor, using before/after (“Bad/Good”) snippets to make each idea concrete. The repository covers everyday concerns—naming, functions, conditionals, objects, classes, and error handling—showing how small choices compound into maintainable systems. Modern JavaScript features (e.g., default parameters, destructuring, classes, array methods) are used to illustrate clearer APIs and fewer side effects. Throughout, the guidance encourages single-purpose functions, avoiding unnecessary context and duplications, and favoring functional patterns where they improve clarity. It’s a reference you dip into to assess your code’s clarity and consistency, not a checklist of rules to follow blindly. -
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Coding Interview University
A complete computer science study plan to become a software engineer
Coding Interview University is a multi-month self-study plan that grew from a short personal to-do list into a comprehensive roadmap for preparing technical interviews at large software companies. The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about a 75% depth that is sufficient for interviews. It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth. -
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Comprehensive Rust
This is the Rust course used by the Android team at Google
Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust, and FFI. It is designed to be taught in classroom settings but can also be followed independently, making it useful both for structured training and self-study. The materials are presented in a slide-based format with accompanying examples and hands-on exercises to reinforce key concepts. By offering an accessible yet thorough introduction, the course helps learners gain practical experience with Rust while building a strong understanding of its unique safety and performance guarantees. -
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Computational Thinking
Introduction to computational thinking with Julia
Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. Using Julia, the course highlights both mathematical reasoning and practical coding, bridging the gap between theory and application. The materials include lectures, notebooks, exercises, and projects that encourage experimentation and discovery. By combining programming with conceptual depth, the repository aims to build skills that are transferable across disciplines and essential for modern scientific inquiry. -
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DIO Lab
Repository for "Contributing to an Open Source Project on GitHub" lab
dio-lab-open-source is an educational repository created as part of the “Contributing to an Open Source Project” course offered by Digital Innovation One (DIO). The project serves as a practical learning environment where students can explore the fundamentals of contributing to open source software through GitHub. It provides hands-on experience with the Git workflow, including forking repositories, creating branches, submitting pull requests, and collaborating with other developers. The repository also emphasizes the role of Markdown in writing effective documentation, guiding learners on how to create clear, well-formatted text for README files and project guides. While Markdown is used for documentation and presentation, the course encourages students to complement it with proper debugging tools and language-specific development practices. Overall, this project functions as a stepping stone for beginners aiming to build confidence and competence in the real-world. -
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Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
This repository holds the R Markdown (.Rmd) source files for the PH525x / HarvardX course series (Data Analysis for the Life Sciences / Genomics) managed by GenomicsClass. It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. The repo is licensed under MIT, allowing reuse and modification. It is part of a larger ecosystem: the compiled HTML / book version of the labs is published via a companion “book” repository, which presents a polished, browsable version of the materials. The content covers topics such as data wrangling in R, statistical inference, genomics workflows, Bioconductor packages, and project-based analyses. Because it’s open and modular, contributors can suggest improvements, update modules, or add new exercises. -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). It includes Jupyter notebooks, model architectures, data preprocessing pipelines, and evaluation scripts specific to medical imaging tasks. The repository may also contain domain-specific modules: loss functions like Dice, focal loss, metrics such as sensitivity/recall/IoU, and visualization utilities for overlaying segmentation masks. -
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Easings.net
Easing Functions Cheat Sheet
Easings .net is a visualization and reference project dedicated to easing functions, which are widely used in animations and transitions to create natural motion. Instead of linear changes, easing functions help define how values accelerate or decelerate over time, resulting in smoother and more dynamic effects. The project provides a clear, interactive showcase of common easing equations such as quadratic, cubic, quartic, and elastic functions. It is a valuable resource for developers and designers who want to understand and compare different easing behaviors before applying them to web animations, game mechanics, or UI interactions. With its focus on simplicity and clarity, Easings .net has become a popular go-to reference for motion design and development. -
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Elixir Koans
Elixir learning exercises
Elixir Koans is an interactive learning project designed to teach the fundamentals of the Elixir programming language through a series of self-guided coding exercises. Inspired by the style of koans used in other programming communities, it provides incomplete code snippets and failing tests that learners must solve to progress. Each exercise builds on the previous one, gradually introducing core concepts such as pattern matching, recursion, processes, and concurrency in Elixir. By debugging and filling in missing pieces, users gain practical, hands-on experience while reinforcing theoretical knowledge. The project is ideal for both complete beginners and developers transitioning from other languages who want to learn Elixir in a structured, exploratory way. Its design emphasizes discovery, experimentation, and reflection, making it a powerful tool for deepening understanding of Elixir’s unique paradigms. -
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First Contributions
Help beginners to contribute to open source projects
The first-contributions repository is a community-driven project designed to simplify and guide beginners through their very first open source contribution. Many new developers find the Git workflow intimidating, so this project provides a safe, structured, and supportive way to practice without fear of mistakes. It includes step-by-step tutorials that walk contributors through the process of forking a repository, making changes, and submitting a pull request. The repository is translated into multiple languages, making it accessible to a global audience and ensuring inclusivity for contributors around the world. Over the years, it has attracted thousands of contributors and serves as a popular entry point into the world of open source collaboration. Its impact lies not only in teaching GitHub workflows but also in fostering confidence, community spirit, and the habit of contributing to open source. -
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GitHub Résumé
Resumes generated using the GitHub informations
GitHub Résumé is an open source project that allows developers to instantly generate a professional résumé from their GitHub profile. By connecting with GitHub, the application extracts key data such as repositories, contributions, and activity, then formats it into a clean, easy-to-share résumé. This tool is ideal for software engineers, open source contributors, and students who want to showcase their coding experience without manually formatting everything. The project focuses on simplicity, automation, and making your GitHub profile presentable in a résumé format. With its streamlined approach, it provides a quick way to highlight your technical background in a professional context. You must have Ruby and the Rack gem installed. -
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Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and networking. It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. By consolidating essential knowledge in one place, the project helps learners efficiently review concepts and practice effectively for interviews. -
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Lisp Koans
Common Lisp Koans is a language learning exercise
Lisp Koans is a self-guided learning path for Common Lisp that teaches the language’s idioms through a series of failing tests you progressively make pass. Each koan introduces a concept—symbols, lists, macros, multiple dispatch, reader syntax—then asks you to fill in the blanks and run the suite again. The feedback loop is intentionally tight: fail, reflect, fix, and rerun until the tests become a form of living documentation. Because koans are organized from fundamentals to metaprogramming, learners internalize not just syntax but also Lisp’s philosophy of code-as-data. The exercise format makes it ideal for workshops, katas, or leveling up engineers who have never touched a Lisp before. It’s minimal on infrastructure and maximal on discovery, encouraging use of a REPL and inspector while you solve each puzzle. -
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PHP: The Right Way
An easy-to-read, quick reference for PHP best practices
php-the-right-way is a community-driven guide that provides clear, concise, and up-to-date best practices for writing modern PHP code. Maintained by developers and contributors worldwide, the project aims to help programmers follow established coding standards and avoid outdated or insecure PHP practices. The repository serves as the source for the website PHP: The Right Way, which compiles recommendations, tools, and resources for learning and improving PHP development techniques. It covers essential topics such as coding style, dependency management, error handling, security, and testing, emphasizing modern PHP features and ecosystem tools. The project encourages developers to adopt frameworks, libraries, and patterns that align with current community conventions. Regular updates ensure that the content reflects the evolving state of the PHP language and industry standards, making it one of the most trusted educational references for PHP developers.