Open Source ChromeOS Software - Page 89
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Software for ChromeOS
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AI-Job-Notes
AI algorithm position job search strategy
AI-Job-Notes is a pragmatic notebook for landing roles in machine learning, computer vision, and related engineering tracks. It assembles study paths, checklists, and interview prep materials, but also covers job-search mechanics—portfolio building, resume patterns, and communication tips. The emphasis is on doing: practicing with project ideas, setting up reproducible experiments, and showcasing results that convey impact. It ties technical study (ML/DL fundamentals) to real hiring signals like problem-solving, code quality, and experiment logging. The repository’s structure encourages progressive preparation—from fundamentals to mock interviews and post-interview retrospectives. It’s designed to reduce uncertainty and decision fatigue during the often lengthy job-hunt cycle. -
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AI-Shorts-Creator
Python-based tool that leverages the power of GPT-4
AI-Shorts-Creator is a Python-based tool that automates the creation of short-form videos by analyzing long-form content and extracting the most engaging segments. It uses AI models to evaluate transcripts and identify highlight moments, then processes video clips accordingly. The system integrates FFmpeg and OpenCV to crop videos dynamically, often using face detection to keep subjects centered. It is designed for content creators who want to generate short videos quickly without manual editing. The workflow includes downloading source videos, analyzing content, segmenting highlights, and exporting finished clips. It supports multiple video formats and is configurable for different use cases. Overall, it provides an automated pipeline for transforming long videos into social media-ready shorts. -
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ALLWEONE
AI tool that generates custom presentations with real-time editing
Presentation AI by ALLWEONE is an open source tool that uses artificial intelligence to generate complete slide decks from a simple prompt. It helps users create professional presentations quickly, with support for customizable themes, layouts, and styles. You can define slide count, language, and tone, then review or edit the AI-generated outline before finalising. Slides are built in real time, allowing you to watch content develop as the system works. Presentation AI by ALLWEONE includes image generation, rich text editing, and drag-and-drop functionality for easy adjustments. It also supports presentation mode, so you can present directly within the app. Built with modern technologies like Next.js, React, and Tailwind CSS, it integrates AI services such as OpenAI for content generation. It is fully open source under the MIT licence, making it suitable for developers who want to customise or extend its capabilities. -
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AS3 Utils
reusable package-level functions that solve common problems
as3-utils is a collection of reusable utility functions and object extensions for ActionScript 3, meant to solve common programming tasks. It provides packages of functions for manipulating arrays, strings, dates, colors, events, HTML, conversion routines, validation, etc. The goal is to give AS3 developers a grab-bag of handy tools so they don’t have to reinvent boilerplate code. Many of these utilities are copied/pasted from open-source projects from around the web. We will attribute functions to their creators (it's on our list of things to do), and we hope function authors understand that we're not trying to take credit for their work. -
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AS3Libs
A collection of AS3 libraries and sketches
AS3Libs is a collection of ActionScript 3 libraries and sample sketches maintained by Grant Skinner. It includes many small independent libraries for things like collision detection, color matrices/filters, particle effects, random number utilities, path-finding, etc., as well as smaller visual/interactive sketch examples. It is intended as a resource/toolbox for developers building in AS3 (Flash / AIR). Simple library for breaking intensive tasks up across frames to maintain UI responsiveness (simple green threads). Provides common color adjustment methods for use with ColorMatrixFilter. Uses the same math/values as the Flash Pro IDE's "Adjust Color" filter. -
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AWS Lambda for .NET
Libraries, samples and tools to help .NET Core developers
AWS Lambda for .NET is the repository that houses tools, libraries and templates to build and deploy AWS Lambda functions using the .NET ecosystem (including .NET Core and .NET 7+). It provides NuGet packages for event models (e.g., API Gateway, DynamoDB, S3), utilities such as Amazon.Lambda.Tools for CLI deployment, and Blueprints/templates to scaffold serverless .NET projects quickly. The framework supports writing functions in C# (and VB/F# where applicable), integrates with the .NET CLI and Visual Studio tooling, and allows developers to treat Lambda functions like any other managed .NET application while handling the deployment, packaging and runtime glue. Its goal is to make serverless in AWS feel natural for .NET developers—abstracting away boilerplate and letting you focus on business logic rather than deployment artifacts. It also supports advanced use cases such as .NET Core integration, source-generator annotations, and custom middleware within a function context. -
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Accompanist
A collection of extension libraries for Jetpack Compose
Accompanist is a collection of extension libraries for Jetpack Compose, developed by Google. It provides utilities and components that are not yet available in the core Compose library, helping developers build modern, responsive UIs with ease. Accompanist includes support for navigation, system UI control, insets, permissions, animations, and image loading, among other features. -
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Acl
A powerful server and network library, including coroutine
The Acl (Advanced C/C++ Library) project a is powerful multi-platform network communication library and service framework, supporting LINUX, WIN32, Solaris, FreeBSD, MacOS, AndroidOS, iOS. Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as HTTP/SMTP/ICMP//MQTT/Redis/Memcached/Beanstalk/Handler Socket are implemented in Acl, and the codec library such as XML/JSON/MIME/BASE64/UUCODE/QPCODE/RFC2047/RFC1035, etc., are also included in Acl. Acl also provides a unified abstract interface for popular databases such as Mysql, Postgresql, Sqlite. Using Acl library users can write database applications more easily, quickly and safely. -
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Actionbook
Browser action engine for AI agents. 10× faster, resilient by design
Actionbook is an AI-centric automation framework that equips intelligent agents with the ability to interact with real live web pages in a reliable and scalable way, eliminating the guesswork involved in navigating modern dynamic sites. Instead of having agents blindly scrape HTML or blindly try to click things, Actionbook supplies up-to-date action manuals and verified DOM structure, letting agents know exactly how to click, type, and navigate complex interfaces such as SPAs or streaming UIs. This design makes browsing up to 10× faster and far more resilient than ad-hoc approaches that break on minor page changes, because the action manuals codify expected flows and DOM targets. It provides multiple integration paths — a Rust-based CLI, MCP server support for AI IDEs, and a JavaScript SDK — so developers can plug it into a wide range of agent pipelines and toolchains. -
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Aeson
A fast Haskell JSON library
aeson is a high-performance Haskell library for JSON parsing and encoding, optimized for speed and ease of use. It serves as a foundational tool in the Haskell ecosystem for handling JSON data efficiently. High-performance optimized for real-world workloads. Widely used and well-maintained community library. Compatible with popular frameworks and the Haskell web ecosystem. Easy-to-use API (e.g., FromJSON, ToJSON typeclasses). Fast JSON parsing and serialization. -
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Agent Lightning
The absolute trainer to light up AI agents
Agent Lightning is an open-source framework developed by Microsoft to train and optimize AI agents using techniques like reinforcement learning (RL), supervised fine-tuning, and automatic prompt optimization, with minimal or zero changes to existing agent code. It’s designed to be compatible with a wide range of agent architectures and frameworks — from LangChain and OpenAI Agent SDKs to AutoGen and custom Python agents — making it broadly applicable across different agent tooling ecosystems. Agent-Lightning introduces a lightweight training pipeline that observes agents’ execution traces, converts them into structured data, and feeds them into training algorithms, enabling users to improve agent behaviors systematically. The project emphasizes minimalist integration, so you can drop this into existing systems without extensive rewrites, focusing instead on iterative performance improvement. -
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Agent SOP
Natural language workflows for AI agents
Agent SOP is a framework that implements structured operational procedures (SOPs) for autonomous agents so that they can carry out complex multi-step tasks reliably and in a defined order. Instead of relying solely on broad language model reasoning, this project enforces explicit step sequences with checkpoints, conditional transitions, and rollback logic, making agent workflows more predictable and auditable. It defines reusable SOP templates that agents can instantiate with context-specific parameters, allowing organizations to codify best practices for customer support, data processing, document workflows, or incident response. The framework supports monitoring and state tracking, so external systems can observe progress, intervene if necessary, and log outcomes for compliance or auditing. Integrations with common messaging and task orchestration systems enable SOP agents to interact with email, ticket queues, and databases as part of their workflows. -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at production-grade GenAI application development rather than just one-off scripts — you’ll find examples of news gathering, agentic workflows, control systems, etc. It is licensed under Apache-2.0, allowing commercial use and modification. Because it's built in Python, it integrates easily with existing data pipelines, databases, and agent architectures. -
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AlohaMini
Open-Source Dual-Arm Mobile Robot with Motorized Lift
AlohaMini is a lightweight self-hostable productivity and note-taking platform designed to help individuals organize thoughts, tasks, and knowledge in a fast, minimal interface that avoids unnecessary complexity. It combines hierarchical notebooks, rich text editing, and tagging, allowing users to structure information the way they think and refine that structure over time. The platform focuses on speed and responsiveness, with a UI that loads instantly and feels smooth even on modest hardware, making it ideal for both desktop and small server deployments. AlohaMini also supports internal linking between notes, enabling a web-like connected knowledge space that grows organically as users create and connect ideas. Collaboration features are integrated so teams can share notebooks, leave comments, and work simultaneously on a shared knowledge base without leaving the platform. -
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Ambire Wallet
Making self-custody easy and secure for the EVM ecosystem
Ambire Wallet is an open-source self-custodial Web3 wallet designed to simplify blockchain interactions while maintaining advanced functionality for experienced users. The platform supports Ethereum and most EVM-compatible networks, allowing users to manage assets, interact with decentralized applications, and perform cross-chain operations from a unified interface. Built around smart contract wallet technology and account abstraction concepts, it enables features such as transaction batching, key rotation, multisignature support, and stablecoin gas payments. The project prioritizes usability by reducing common friction points associated with traditional crypto wallets while still preserving user ownership and privacy. Ambire also integrates DeFi tools directly into the wallet, including swapping, lending, borrowing, and fiat onboarding without requiring external applications. Its architecture is modular and extensible, making it suitable for developers. -
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Analyze
Draven's Blog
analyze is a collection of in-depth source code analyses of popular open source projects, primarily focused on programming languages, compilers, operating systems, and distributed systems. Maintained as a knowledge repository, it contains detailed write-ups that explain the internal mechanisms of complex software systems. The project is designed for developers and researchers who want to deepen their understanding of how widely used technologies are built and maintained. Each analysis breaks down design choices, implementation details, and architectural patterns, making difficult topics more approachable. The repository emphasizes clarity and structured explanations, serving both as a study resource and a reference for engineers exploring system internals. By gathering analyses of diverse projects in one place, analyze helps learners and practitioners bridge the gap between theory and large-scale production code. -
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Andrew NG Notes Collection
This is Andrew NG Coursera Handwritten Notes
Andrew-NG-Notes is a repository that provides comprehensive study notes for Andrew Ng’s widely known machine learning course. The project summarizes the key topics covered in the course, including supervised learning, neural networks, optimization algorithms, and model evaluation techniques. The notes aim to simplify complex mathematical explanations by organizing concepts into clear sections with diagrams, formulas, and concise descriptions. Each chapter mirrors the structure of the course curriculum, allowing students to review the material in a systematic way while following along with the lectures. The repository emphasizes conceptual clarity and practical understanding, helping learners connect mathematical foundations with real machine learning applications. -
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Android Runtime for NativeScript
NativeScript for Android using v8
Contains the source code for the NativeScript's Android Runtime. NativeScript is a framework that enables developers to write truly native mobile applications for Android and iOS using JavaScript and CSS. Each mobile platform has its own ecosystem and offers completely different development tools and language(s) - Java for Android and Objective C (Swift) for iOS. In order to translate JavaScript code to the corresponding native APIs some kind of proxy mechanism is needed. This is exactly what the "Runtime" parts of NativeScript are responsible for. The Android Runtime may be thought of as "The Bridge" between the JavaScript and Android worlds. A NativeScript application for Android is a standard native package (apk) that besides the JavaScript files embeds the runtime as well. -
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AnimojiStudio
Make cute emoji videos with unlimited duration and share anywhere
AnimojiStudio is an archived iOS project for recording Animoji videos without the standard duration limitations of Apple’s built-in experience. It uses Apple’s private AvatarKit framework, the same underlying technology associated with iMessage Animoji, and combines it with ReplayKit screen recording capabilities. The app was created for users who wanted to make longer Animoji clips and share them beyond the normal messaging workflow. It also includes the option to record with or without audio, making it more flexible for simple character-based video creation. Because it depends on private Apple frameworks, it is more of an experimental and educational project than a typical App Store-ready application. It remains useful as a historical reference for creative iOS experiments around avatars, screen recording, and Apple’s early face-tracking character tools. -
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Anthony's VS Code Settings
My VS Code settings and extensions
Anthony's VS Code Settings contains the personal VS Code settings, extensions list and snippets of Anthony Fu— essentially his curated development environment configuration. It provides the settings.json, extensions.json, and other snippet files under .vscode/. The idea is for others to inspect, adopt, clone, or adapt his settings for a more consistent VS Code experience. The settings cover font, icons, product icons, theme, file-nesting config (via the other project), linting integration, and other productivity shortcuts. It's not a typical library but rather a shareable developer setup. Because the settings are openly published, it helps anyone to quickly replicate a well-tuned VS Code environment. The repository is under MIT license and includes 2.2k stars, showing community interest. -
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Anthropic's Original Performance
Anthropic's original performance take-home, now open for you to try
Anthropic's Original Performance repository contains the publicly released version of a performance challenge originally used by Anthropic as part of their technical interview process, offering developers the opportunity to optimize and benchmark low-level code against simulated models. The project sets up a baseline performance problem where participants work to reduce simulated “clock cycles” required to run a given workload, effectively challenging them to engineer faster code under constraints. This take-home includes starter code, tests, and tools to debug performance, aiming to measure how effectively one can apply algorithmic improvements and optimizations. Because it’s framed around beating baseline scores — and even outperforming previous automated systems — it encourages both deep knowledge of Python and creative problem-solving. -
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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Anything to NotebookLM
Multi-source content processor for NotebookLM
Qiaomu Anything to NotebookLM is a Claude Code skill that turns many types of source material into structured NotebookLM-ready outputs. It is built for users who want to convert articles, web pages, videos, PDFs, office files, podcasts, images, and search results into more usable study or presentation formats. The project uses natural-language commands, so the user can ask for a podcast, slide deck, mind map, report, quiz, flashcards, or infographic without manually building the workflow. It supports multilingual material, with especially strong use cases for Chinese and English content. The tool can process files locally, extract or transcribe content when needed, and hand the cleaned material to NotebookLM for generation. It is best suited for researchers, students, content curators, and knowledge workers who regularly turn scattered information into organized learning assets. -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. -
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Apache TVM
TVM Documentation in Chinese Simplified
tvm-cn is a community-driven project that provides Chinese documentation for the Apache TVM deep learning compiler stack. Apache TVM is an open-source system designed to optimize and deploy machine learning models efficiently across different hardware platforms such as CPUs, GPUs, and ARM devices. The goal of the repository is to centralize translated learning materials and technical documentation so that Chinese-speaking developers can study the TVM ecosystem more easily. The project translates official TVM guides and organizes them into structured documentation that explains how to compile, optimize, and deploy deep learning models on heterogeneous hardware architectures. It also encourages community collaboration by inviting contributors to submit corrections, improvements, and additional translations as the TVM framework evolves.
