Open Source ChromeOS Software - Page 68
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Software for ChromeOS
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DevOps for Beginners
Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
DevOps Master Class is a comprehensive educational repository that teaches the fundamentals of DevOps practices and tools through hands-on examples. It covers key technologies such as Docker, Kubernetes, Terraform, Ansible, Jenkins, and cloud platforms like AWS and Azure. The course is structured to guide beginners from zero experience to building and deploying real-world applications. It emphasizes practical learning through exercises involving containerization, orchestration, and infrastructure as code. The repository also introduces continuous integration and delivery concepts with real implementations. It is designed to provide a complete foundation for modern DevOps workflows. Overall, it serves as a practical roadmap for developers transitioning into DevOps roles. -
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Doctor Dok
Doctor Dok is an AI based medical data framework
Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history - digitalized - accessible anywhere from Mobile or Desktop. Using AI you may translate your health records to one of 50+ languages - making abroad health services more accessible. Doctor Dok uses AI to OCR even a hardly readable photo of your health documents. Then stores it in the cloud with Zero Trust Security architecture (nobody but You can decrypt the data). -
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Dokka
API documentation engine for Kotlin
Dokka is an API documentation engine for Kotlin. Dokka can generate documentation in multiple formats, including its own modern HTML format, multiple flavors of Markdown, and Java's Javadoc HTML. Just like Kotlin itself, Dokka supports mixed-language projects. It understands Kotlin's KDoc comments and Java's Javadoc comments. You can run Dokka using Gradle, Maven or from the command line. It is also highly pluggable. -
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Drip
Self-hosted tunneling solution to expose localhost securely
Drip is an open-source, self-hosted tunneling solution that lets you expose local services to the internet securely on your own terms. Inspired by the idea of “lighting a small lamp on your network,” Drip creates encrypted tunnels through your own infrastructure without relying on third-party servers, giving you full control over traffic direction and network endpoints. The project supports unlimited tunnels and bandwidth, making it suitable for both development and production scenarios where conventional reverse proxies may not suffice. It is written primarily in Go, which enables high performance and cross-platform deployment with minimal overhead. Drip includes a rich command-line interface for configuring, launching, and managing tunnels and supports transport protocol selection and access control features. -
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DrissionPage
Python based web automation tool. Powerful and elegant
DrissionPage is a Python-based automation framework that blends the capabilities of Selenium for browser automation with Requests-HTML for fast, headless web data extraction. It enables seamless switching between browser-controlled and headless HTTP sessions within the same interface. Ideal for web scraping, testing, and automation, DrissionPage is lightweight and highly efficient, offering more flexibility than standard Selenium or Requests usage alone. -
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Dummy-Robot
My super mini robotic arm robot project
Dummy-Robot is an open source robotics project by Peng Zhihui that showcases the design and implementation of a compact robotic arm . The repository contains full hardware design files, firmware, control software, and 3D models. It includes components such as a gripper, LED light ring PCB, wireless spatial positioning controller, and a portable case. The project demonstrates advanced engineering with stepper motor drivers, custom controllers, and debugging tools. While the original version is CNC-machined, a simplified 3D-printable "youth edition" is planned to lower costs. This project serves as both an educational resource and a demonstration of innovative DIY robotics. -
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ECommerceCrawlers
Collection of Python ecommerce and website crawler examples projects
ECommerceCrawlers is a collection of practical Python web crawler projects designed to gather data from a variety of ecommerce platforms, websites, and online services. It aggregates many independent crawler examples created by contributors and organized into separate subprojects that target specific sites or data sources. These examples demonstrate how to build and operate web scrapers capable of collecting structured information such as product listings, news content, job postings, social media data, and other publicly available web data. It aims to help developers understand the full workflow of web scraping, including request simulation, data extraction, storage, and handling anti-scraping techniques. It includes crawlers for platforms such as ecommerce marketplaces, blogging platforms, recruitment sites, and social networks, providing real-world practice scenarios. Developers can study the individual project documentation to understand the analysis process. -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
EasyR1 is a streamlined training framework for building “R1-style” reasoning models from open-source LLMs with minimal boilerplate. It focuses on the full reasoning stack—data preparation, supervised fine-tuning, preference or outcome-based optimization, and lightweight evaluation—so you can iterate quickly on chain-of-thought–heavy tasks. The project’s philosophy is practicality: sensible defaults, one-command recipes, and compatibility with popular base models let you stand up experiments without wrestling infrastructure. It emphasizes memory-efficient training strategies so you can train long-context or reasoning-dense models on commodity GPUs. The framework is also organized to help you compare training strategies (e.g., pure SFT vs. preference optimization) so you can see what actually moves metrics in math, code, and multi-step reasoning. For teams exploring open reasoning models, EasyR1 provides an opinionated yet flexible path from dataset to deployable checkpoints. -
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EmotiVoice
Multi-Voice and Prompt-Controlled TTS Engine
EmotiVoice is a multi-voice, prompt-controlled text-to-speech engine designed to generate highly expressive speech across thousands of voices. It supports both English and Chinese and ships with over 2,000 preset voices, making it suitable for everything from characters and virtual anchors to narration and dialogue. The core idea is prompt-based emotional and style control: you can ask the engine to speak “happy,” “sad,” “excited,” or with other high-level style prompts that shape prosody, pitch, speed, and energy. EmotiVoice provides multiple ways to interact with it, including a web interface, a Docker image, an HTTP API (including an OpenAI-compatible TTS API), and Python scripts for batch synthesis. It also supports voice cloning with your own data, backed by recipes for popular datasets like DataBaker and LJSpeech, so you can train or adapt voices to custom personas. -
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Envoy AI Gateway
Manages Unified Access to Generative AI Services
Envoy AI Gateway is an open-source gateway system designed to manage network traffic between applications and generative AI services using the Envoy proxy ecosystem. The project extends Envoy Gateway to support AI-specific workloads, enabling organizations to route, secure, and scale requests to large language models and other generative AI services. In a typical deployment, the architecture uses a two-tier gateway model where an outer gateway handles authentication, routing, and global rate limiting while a second gateway manages traffic to self-hosted model serving clusters. This design allows organizations to centralize control over AI service access while maintaining flexibility in how backend model infrastructure is deployed. The gateway provides policy enforcement, observability, and routing capabilities that are specifically designed for AI inference workloads, including intelligent endpoint selection and request optimization. -
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Envy
Keep your .env.example file up to date
Automate keeping your environment files in sync. How many times have you onboarded a new dev onto your team, only to have to spend ages debugging with them because your project's .env.example file is wildly outdated? Too many to count if you're anything like us. Wouldn't it be nice if there were a way to ensure your environment files stay up to date? That's why we created Envy. With a simple Artisan command, you can sync your environment files with your project config to keep everything fresh. -
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EventCatalog
Open source tool for documenting and exploring event-driven systems
EventCatalog is an open source documentation tool designed for event-driven architectures. It helps teams organize, document, and understand complex systems by mapping events, services, domains, and flows in one place. Instead of scattered knowledge, it creates a central, searchable catalog that improves visibility and collaboration. Documentation is generated and maintained automatically, making it easier to keep systems up to date as they evolve. With built-in discoverability features, developers and stakeholders can quickly explore how services interact and identify dependencies. EventCatalog supports extensibility through APIs and integrations, allowing teams to adapt it to their workflows. By bringing structure and governance to distributed systems, EventCatalog reduces confusion and helps teams make informed decisions faster. It is widely used by organizations to simplify event-driven systems and improve communication across teams. -
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Exposure Correction
Learning multi-scale deep model correcting over- and under- exposed
Exposure_Correction is a research project that provides the implementation for the paper Learning Multi-Scale Photo Exposure Correction (CVPR 2021). The repository focuses on correcting poorly exposed photographs, handling both underexposure and overexposure using a deep learning approach. The method employs a multi-scale framework that learns to enhance images by adjusting exposure levels across different spatial resolutions. This allows the model to preserve fine details while correcting global lighting inconsistencies. The repository includes pre-trained models, datasets, and training/testing code to enable reproducibility and experimentation. By leveraging this framework, researchers and developers can apply exposure correction to a wide range of natural images, improving visual quality without manual editing. The project serves both as a research reference and a practical tool for computational photography and image enhancement. -
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FOSSBilling
Empower your hosting business with FOSSBilling
FOSSBilling is a free and open-source billing and client management solution tailored for online services businesses, particularly those in the web hosting space. It delivers a suite of tools that automate the creation and delivery of invoices, track payments, manage customer accounts, and handle service provisioning, all from a centralized web interface. Because it’s self-hosted and licensed under the Apache 2.0 license, organizations have full control over their data and can customize or extend the system to fit unique workflows or branding requirements. FOSSBilling supports integration with numerous control panels and payment gateways, helping businesses automate domain management, hosting account creation, and customer notifications without manual intervention. The platform is built to be extensible, with a modular architecture that allows developers to add new features, themes, or third-party extensions. -
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Fetch for Android
The best file downloader library for Android
Fetch is a simple, powerful, customizable file download manager library for Android. Simple and easy to use API. If you are saving downloads outside of your application's sandbox, you will need to add the following storage permissions to your application's manifest. For Android SDK version 23(M) and above, you will also need to explicitly request these permissions from the user. Continuous downloading in the background. Concurrent downloading support. Ability to pause and resume downloads. Set the priority of a download. Network-specific downloading support. Ability to retry failed downloads. Ability to group downloads. Easy progress and status tracking. Download remaining time reporting (ETA). Download speed reporting. Save and Retrieve download information anytime. Notification Support. Storage Access Framework, Content Provider and URI support. -
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Figma Code Connect
A tool for connecting your design system components
Figma Code Connect is an open-source tool that enhances collaboration between designers and developers by synchronizing design components with source code in real time. Instead of treating design files and codebases as separate artifacts, it creates a continuous link so when a designer updates a UI element in Figma, developers see corresponding code changes or annotations immediately, making handoffs more precise and frictionless. The system supports multiple frameworks and languages, enabling teams to generate usable code snippets, style values, and component metadata from visual designs without manual translation. This approach reduces miscommunication and repetitive tasks that traditionally occur between design and engineering teams, speeding up iteration cycles while preserving fidelity to the original design intent. It can be integrated into development environments or build tooling so design updates automatically propagate into code patterns or UI specs. -
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Files
A nicer way to handle files & folders in Swift
Files is a lightweight Swift library that provides a more expressive and user-friendly interface for working with files and directories compared to the native FileManager API. It abstracts common file system operations into an object-oriented model, enabling developers to interact with files and folders using intuitive constructs such as Folder and File types. The library simplifies tasks like reading, writing, moving, renaming, and deleting files while maintaining robust error handling through Swift’s try-catch mechanisms. It also supports recursive traversal of directory structures, making it easy to iterate through file trees for scripting or automation purposes. Designed primarily for Swift scripting and tooling, Files can also be embedded into applications that require file system access. Its implementation is compact and efficient, often contained within a single file, which makes it easy to integrate into projects without adding unnecessary complexity. -
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Flowsint
Graph-based OSINT investigation platform w visual relationship mapping
Flowsint is an open source OSINT investigation platform designed to help analysts explore and understand relationships between digital entities through a visual graph interface. The platform focuses on reconnaissance and open source intelligence workflows, enabling investigators to map connections between domains, IP addresses, organizations, individuals, and other data points. By presenting these relationships in an interactive graph, Flowsint allows users to quickly identify patterns, associations, and investigative leads that might be difficult to detect through traditional data analysis methods. The system includes automated enrichers that gather additional intelligence about entities such as domain records, social media profiles, network infrastructure, and cryptocurrency activity. Its modular architecture separates the frontend application, API server, core services, and enrichment modules, making the platform extensible and easier to expand with new investigative capabilities. -
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Flutter Plugins
Plugins for Flutter maintained by the Flutter team
This repository (now archived) houses the first-party plugin implementations maintained by the Flutter team, enabling access to platform-specific APIs (e.g. camera, file access, web views, etc.) from Dart/Flutter code. It essentially provides the bridge between Flutter apps and native mobile capabilities: for each plugin, there is often a Dart interface and underlying platform code (Android, iOS, etc.). Over time, the content of this repo has been moved to a newer monorepo or reorganized under flutter/packages. The plugins here are intended to follow Flutter’s design conventions and support integration with the wider Flutter ecosystem (published on pub.dev). Because the repository is archived, it is now read-only; future development of plugin code occurs elsewhere in the official Flutter organization. -
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Fluxer
A free and open source instant messaging and VoIP platform
Fluxer is a free and open-source instant messaging and VoIP platform designed to provide communities, friend groups, and teams with a self-hostable communication alternative. The project combines real-time chat, voice calling, and community features into a unified system that can be deployed independently rather than relying on centralized proprietary services. It is built with a modern TypeScript stack and focuses on delivering a clean user experience alongside flexible infrastructure options for developers who want control over their communication environment. Fluxer supports typical messaging workflows while also aiming to provide extensibility for plugins and future integrations. Because it is open source, users can inspect, modify, and host their own instance, aligning with privacy-focused and decentralized communication trends. -
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Flyleaf
Media Player .NET Library for WinUI 3/ WPF/WinForms
Flyleaf is a high-performance media playback engine for .NET applications that provides advanced video and audio playback capabilities using FFmpeg and hardware acceleration. It is designed to deliver smooth playback for high-resolution content, including 4K and HDR video. The framework includes a customizable player interface and supports integration into desktop applications built with WPF or other .NET UI frameworks. Flyleaf offers features such as subtitle rendering, audio track selection, and playback controls for a complete media experience. It also includes advanced buffering and synchronization mechanisms to ensure stable playback under varying conditions. The architecture is modular, allowing developers to extend functionality or integrate custom components. Overall, it provides a robust foundation for building media players in .NET environments. -
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FreeNAS/TrueNAS Scripts
Handy shell scripts for use on FreeNAS servers
FreeNAS-scripts is a collection of shell and Perl scripts tailored for FreeNAS and TrueNAS systems. These scripts assist administrators in monitoring system health, managing configurations, and performing routine maintenance tasks. -
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GLM-Image
GLM-Image: Auto-regressive for Dense-knowledge and High-fidelity Image
GLM-Image is an open-source generative AI model designed to create high-fidelity images from text prompts using a hybrid architecture that combines autoregressive semantic understanding with diffusion-based detail refinement. It excels at generating images that include complex layouts and detailed text content, making it especially useful for posters, diagrams, info-graphics, social media graphics, and visual content that requires precise text placement and semantic alignment. Because it blends linguistic reasoning with image synthesis, GLM-Image produces visual outputs where semantic relationships and textual accuracy are prioritized alongside artistic style and realism, and its model structure enables it to handle dense visual knowledge tasks that challenge many pure diffusion models. The model’s design and weights are available under an open-source license that encourages experimentation, integration, and deployment across a range of creative workflows. -
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GPTImage2Skill
GPT Image 2 prompt gallery, image prompt library, agentic skill
GPTImage2Skill is a curated prompt gallery, agent skill, and command-line workflow for working with GPT Image 2 generation and editing. It provides reusable image prompts across creative, technical, academic, interface, design, photography, typography, gaming, anime, map, tattoo, and reference-editing use cases. The project is designed to help agents and users produce stronger visual outputs without starting from a blank prompt every time. Its gallery is organized into category files so an agent can load only the relevant prompt references instead of overwhelming the context window. It also includes installation paths for skill-capable environments such as Claude Code, Codex, OpenClaw, and other agent runtimes. Overall, it is useful as both a learning resource for prompt structure and a practical toolkit for repeatable image generation workflows. -
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Generative AI
Sample code and notebooks for Generative AI on Google Cloud
Generative AI is a comprehensive collection of code samples, notebooks, and demo applications designed to help developers build generative-AI workflows on the Vertex AI platform. It spans multiple modalities—text, image, audio, search (RAG/grounding) and more—showing how to integrate foundation models like the Gemini family into cloud projects. The README emphasises getting started with prompts, datasets, environments and sample apps, making it ideal for both experimentation and production-ready usage. The repository architecture is organised into folders like gemini/, search/, vision/, audio/, and rag-grounding/, which helps developers locate use cases by modality. It is licensed under Apache-2.0, opensourced and maintained by Google, meaning it's designed with enterprise-grade practices in mind. Overall, it serves as a practical entry point and reference library for building real-world generative AI systems on Google Cloud.
