Open Source ChromeOS Software - Page 72
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Software for ChromeOS
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Norish
A realtime, self-hosted recipe app for families & friends
Norish is a realtime, self-hosted recipe and meal-planning app built for families, friends, and collaborative cooks who want to maintain a shared catalogue of recipes and grocery lists. The project emphasizes simplicity and immediacy, syncing changes across multiple clients using WebSockets so that updates to recipes, groceries, or meal plans appear instantly for all users. The app allows users to import recipes from URLs and even fallback to AI parsing when needed, with multimedia support that includes video import from popular platforms when AI is configured. Norish also handles grocery list management with recurring items and calendar meal planning, giving household groups an organized view of upcoming meals. Built with modern web technologies and designed for self-hosting, the app includes support for single sign-on via OIDC providers, a mobile-friendly interface, and user permissions for editing or viewing recipes and lists. -
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Numba CUDA Target
The CUDA target for Numba
Numba CUDA Target is NVIDIA’s maintained CUDA backend for the Numba JIT compiler, enabling developers to write GPU-accelerated code directly in Python. It allows users to define CUDA kernels using Python syntax, which are then compiled into efficient GPU code at runtime using LLVM-based toolchains. This approach significantly lowers the barrier to entry for GPU programming by eliminating the need to write CUDA C++ while still delivering high performance. The project supports the SIMT programming model, allowing developers to control threads, blocks, and memory hierarchies similarly to native CUDA programming. It is also used as a foundation for accelerating higher-level libraries such as RAPIDS, where custom user-defined GPU functions are required. The repository represents the continuation of CUDA support after its deprecation in core Numba, ensuring ongoing development and optimization under NVIDIA’s ecosystem. -
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Nutgram
The Telegram bot framework that doesn't drive you nuts
This framework takes advantage of the latest PHP 8.2 features and tries to make the speed, scalability and flexibility of use its strength, it will allow you to quickly make simple bots, but at the same time, it provides more advanced features to handle even the most complicated flows. The Telegram bot framework doesn't drive you nuts. -
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OWASP ModSecurity CRS
OWASP ModSecurity Core Rule Set (CRS) Project
The OWASP ModSecurity Core Rule Set (CRS) is a curated, generic Web Application Firewall rule set that detects and blocks common attack categories across most web apps. It focuses on broad protection—SQL injection, cross-site scripting, local/remote file inclusion, command injection, and protocol violations—without requiring app-specific knowledge. Rules are organized into paranoia levels so operators can tune detection aggressiveness and balance false positives against coverage. An anomaly-scoring model accumulates rule hits per request, enabling nuanced blocking thresholds and easier incident triage. The project ships with extensive documentation, exclusion packages, and testing tools to help tailor deployment for frameworks, CDNs, and APIs. Deployed on engines such as ModSecurity or compatible WAFs, CRS is a widely used baseline for HTTP security in reverse proxies and gateways. -
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Odigos
Distributed tracing without code changes
Odigos supports any application written in Java, Python, .NET, Node.js and Go. Historically, compiled languages like Go have been difficult to instrument without code changes. Odigos solves this problem by uniquely leveraging eBPF. Odigos currently supports all the popular managed and open source destinations. By producing data in the OpenTelemetry format, Odigos can be used with any observability tool that supports OTLP. Odigos automatically scales OpenTelemetry collectors based on observability data volume. Manage and configure collectors via a convenient web UI. Installing Odigos takes less than 5 minutes, and requires no code changes. -
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OllamaSharp
The easiest way to use Ollama in .NET
OllamaSharp is an open-source .NET library that provides strongly typed bindings for interacting with the Ollama API, making it easier for developers to integrate local large language models into C# and .NET applications. The project acts as a wrapper around the Ollama API, exposing all endpoints through asynchronous methods that allow developers to perform tasks such as generating text, creating embeddings, and managing models. It supports both local and remote Ollama instances, enabling developers to run AI models on their own hardware or connect to remote model servers. The library is designed to simplify integration by allowing developers to interact with AI models using just a few lines of code while still supporting advanced functionality. OllamaSharp also includes real-time streaming capabilities that allow applications to display generated responses incrementally as they are produced. -
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One Dark Pro
Atom's iconic One Dark theme for Visual Studio Code
One Dark Pro is a popular Visual Studio Code theme inspired by the Atom One Dark theme, designed to provide a visually appealing and consistent coding environment. It focuses on readability and aesthetics, using a carefully selected color palette that reduces eye strain while maintaining strong contrast between code elements. The theme supports a wide range of programming languages, ensuring consistent syntax highlighting across different file types. It also integrates seamlessly with VS Code features, enhancing the overall developer experience. The design emphasizes clarity, making it easier to navigate and understand complex codebases. It is widely adopted due to its balance between style and functionality. Overall, OneDark-Pro serves as a high-quality customization option for developers seeking a polished coding interface. -
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Open Vision Agents by Stream
Build Vision Agents quickly with any model or video provider
Open Vision Agents by Stream is an open source framework from Stream for building real time, multimodal AI agents that watch, listen, and respond to live video streams. It focuses on combining video understanding models, such as YOLO and Roboflow based detectors, with real time large language models like OpenAI Realtime and Gemini Live to create interactive experiences. The framework uses Stream’s ultra low latency edge network so agents can join sessions quickly and maintain very low audio and video latency while processing frames and generating responses. Developers work with an agent abstraction that connects video edge providers, LLMs, and processors into pipelines, making it easier to orchestrate tasks like object detection, pose estimation, and conversational guidance. The project includes SDKs for React, Android, iOS, Flutter, React Native, and Unity, enabling integration into a wide variety of client environments such as mobile apps, web apps, and games. -
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OpenAI Harmony
Renderer for the harmony response format to be used with gpt-oss
Harmony is a response format developed by OpenAI for use with the gpt-oss model series. It defines a structured way for language models to produce outputs, including regular text, reasoning traces, tool calls, and structured data. By mimicking the OpenAI Responses API, Harmony provides developers with a familiar interface while enabling more advanced capabilities such as multiple output channels, instruction hierarchies, and tool namespaces. The format is essential for ensuring gpt-oss models operate correctly, as they are trained to rely on this structure for generating and organizing their responses. For users accessing gpt-oss through third-party providers like HuggingFace, Ollama, or vLLM, Harmony formatting is handled automatically, but developers building custom inference setups must implement it directly. With its flexible design, Harmony serves as the foundation for creating more interpretable, controlled, and extensible interactions with open-weight language models. -
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OpenArchiver
An open-source platform for legally compliant email archiving
OpenArchiver is a comprehensive, self-hosted email archiving and compliance platform built to help organizations ingest, index, store, and search email communication data across diverse sources like Gmail, Microsoft 365, IMAP, PST, and more. It’s designed for scenarios where reliable, tamper-proof archiving and full-text search across both emails and attachments are essential for legal discovery, compliance, or long-term records retention. The platform combines a modern web UI with powerful backend services, including fast indexing, deduplication, encryption at rest, and asynchronous ingestion workflows, making it suitable for both small teams and enterprise deployments. Beyond simply capturing email, it emphasizes security and auditability with features like secure storage formats, file integrity verification, and detailed audit trails of user interactions. -
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OpenGame
Open Agentic Coding for Games
OpenGame is an open-source project aimed at providing a flexible framework or toolkit for building games, likely focusing on accessibility, modularity, and collaborative development. It appears designed to simplify the process of creating interactive experiences by offering reusable components and structured architecture for game logic, rendering, and input handling. The project likely supports experimentation with different gameplay mechanics and encourages customization through open-source contributions. Its design philosophy emphasizes ease of use while still allowing developers to scale complexity as needed. OpenGame may also serve as a learning resource for beginners exploring game development concepts. Overall, it represents a lightweight, extensible approach to building games without relying on heavy commercial engines. -
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OpenSandbox
OpenSandbox is a general-purpose sandbox platform for AI applications
OpenSandbox is a general purpose sandbox platform designed to securely run and isolate AI applications and untrusted workloads in controlled environments. The project focuses on providing a unified sandbox API that simplifies the process of executing code safely across different runtime backends. It supports multiple programming languages through SDKs, allowing developers to integrate sandbox capabilities into their systems without building custom isolation layers. The platform is built to work with container technologies such as Docker and Kubernetes, enabling scalable and production ready deployments. OpenSandbox is particularly useful for AI agents, code execution services, and any scenario where untrusted code must be executed safely. Its architecture emphasizes flexibility, security boundaries, and operational consistency across environments. Overall, the project aims to standardize sandbox execution for modern AI and cloud native workflows. -
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Output
TypeScript framework for building AI workflows and agents
Output is an open-source TypeScript framework designed to build, orchestrate, and manage AI workflows and agents within a single unified system. It consolidates multiple aspects of AI development, including prompt management, evaluation, tracing, cost tracking, and orchestration, into a file-based architecture that lives entirely within the codebase. The framework is built specifically to work with AI coding agents, enabling them to read, modify, and execute workflows directly from structured project folders. It eliminates reliance on fragmented SaaS tools by providing all necessary components locally, ensuring better transparency and control over data and processes. Output includes built-in evaluation systems, such as LLM-as-a-judge scoring, and integrates workflow orchestration tools like Temporal to handle retries, parallel execution, and state management. It also supports multiple model providers through a unified API. -
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PDFium Library
Project to compile PDFium library to multiple platforms
Project to compile PDFium library to multiple platforms. PDFium project is from Google and I only patch it to compile to all platforms. -
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PHP-SVG-Lib
SVG file parsing / rendering library
php-svg-lib is a PHP library designed for parsing and rendering SVG files. It provides functionalities to rasterize SVG content to various surfaces, such as images or PDFs, and is utilized by projects like Dompdf for SVG rendering within PDF documents. -
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Pannellum
Pannellum is a lightweight, free, and open source panorama viewer
Pannellum is a lightweight, free, and open source panorama viewer for the web. Built using HTML5, CSS3, JavaScript, and WebGL, it is plug-in free. It can be deployed easily as a single file, just 21kB gzipped, and then embedded into pages as an <iframe>. A configuration utility is included to generate the required code for embedding. An API is included for more advanced integrations. -
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Paperless-AI
AI-powered document analysis and tagging for Paperless-ngx
Paperless-AI is an AI-powered extension designed to enhance document management within Paperless-ngx by automating analysis, classification, and organization tasks. It continuously monitors incoming documents and processes them using various AI backends, enabling automatic assignment of titles, tags, document types, and correspondents. It integrates with multiple OpenAI-compatible services as well as local models, giving users flexibility in how document intelligence is handled. A key capability is its use of retrieval-augmented generation, which enables semantic search and natural language interaction across an entire document archive. Users can ask contextual questions about their files and receive precise answers based on full document understanding rather than simple keyword matching. Paperless-AI also includes a web interface for manual review and tagging, allowing greater control when handling sensitive or complex documents. -
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Papers with Code
List of different papers for coding
pwc is an open-source repository that compiles machine learning and artificial intelligence research papers together with their corresponding implementation code. The project functions as a curated dataset linking academic publications with practical software implementations, allowing researchers and engineers to quickly locate code that reproduces published results. The repository organizes information such as paper titles, conferences, and links to code implementations so that users can explore recent developments in machine learning more efficiently. It was originally created to support the discovery and reproducibility of AI research by connecting scholarly work with working software projects. Although the repository itself is no longer actively maintained, it still provides a historical dataset that reflects many influential research publications and their associated implementations. -
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Papra
The minimalistic document archiving platform
Papra is a minimalist document management and archiving platform created to help individuals and teams store, organize, and retrieve digital documents with simplicity and accessibility at its core. Papra provides basic yet essential capabilities like uploading files, managing archives, creating organizations for shared access, and performing full-text searches, all within a responsive and user-friendly interface that works across devices. The project’s focus on long-term storage and retrieval — like a personal digital archive — means it’s designed for ease of use without unnecessary complexity, making it suitable for small groups, families, or individuals who want a centralized repository for important receipts, warranties, and records. Authentication and user accounts ensure that documents are secure, and ergonomic features like dark mode and responsive design make it practical for everyday use. -
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PersonaPlex
PersonaPlex code
PersonaPlex is an open-source real-time conversational speech AI model that goes beyond traditional text chat by providing full-duplex speech-to-speech interaction, meaning it can listen and talk at the same time instead of waiting for you to finish speaking before responding. This architectural approach eliminates awkward pauses and makes conversations feel much more human-like, with natural behaviors such as overlapping speech, interruptions, and fluent turn-taking, traits that traditional AI assistants typically lack. PersonaPlex also supports persona and voice control, allowing developers to define the role and speaking style of the agent using text prompts and voice conditioning, making it suitable for applications like customized voice assistants, interactive character agents, or domain-specific conversational tools. Internally, it processes continuous audio streams in a hybrid input format so that speech understanding and generation occur jointly. -
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Petdex
The public gallery of animated pet for Codex, Claude Code, OpenCode
Petdex is a community system for creating, sharing, installing, and displaying animated pets for the Codex desktop environment. It combines a public gallery, a command-line installer, and a desktop companion app into one coordinated project. The gallery lets users browse approved pet packs, preview animation states, and download compatible assets. The CLI installs pets directly into the local Codex setup and supports submission workflows for creators. The desktop app can float a pet on the user’s screen and react to coding-agent activity in real time. Petdex is especially useful for users who want to personalize AI coding sessions with lightweight animated characters and a community-driven asset format. -
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Phaser 3
This repository contains the code necessary to start making a game
The Phaser 3 TypeScript Starter Kit is a boilerplate project that provides a structured foundation for developing Phaser 3 games using TypeScript. It includes essential configurations and examples to help developers get started quickly. -
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Phishing Catcher
Real-time phishing domain detection via Certificate Transparency logs
phishing_catcher is a security monitoring tool designed to detect potential phishing domains in near real time by analyzing TLS certificate issuance events. It listens to Certificate Transparency (CT) logs through the CertStream API and evaluates newly issued certificates as they appear. Each certificate often contains one or more domain names, which the tool analyzes to determine whether they resemble suspicious or phishing-related domains. phishing_catcher applies a configurable scoring mechanism that assigns numeric values to certain keywords, patterns, or top-level domains found within certificate domain names. When a domain’s score exceeds predefined thresholds, it is flagged as potentially malicious and reported accordingly. It operates continuously, processing certificate updates as they arrive and displaying or logging domains that appear suspicious. This approach allows analysts, researchers, and security teams to identify phishing infrastructure early. -
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Piano transcription
Task of transcribing piano recordings into MIDI files
Piano transcription is an open-source high-resolution piano transcription system by ByteDance that converts raw audio recordings of piano performance into symbolic MIDI files — detecting note onsets, offsets, pitch, velocity, and even pedal usage. The system is implemented in Python (PyTorch) and is capable of accurate transcription of polyphonic piano recordings, even with complex passages and pedal techniques, making it suitable for classical piano music. By using this transcription tool, users can transform live performance audio (or recordings) into editable, machine-readable MIDI — enabling tasks such as analysis, editing, remixing, or generation of piano music. The authors used this system to build a large-scale classical piano MIDI dataset (see next project), but as a standalone tool it enables researchers, musicians, or hobbyists to transcribe their own piano recordings automatically. -
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Pipecat
Framework for building real-time voice and multimodal AI agents
Pipecat is an open source Python framework designed for building real-time voice and multimodal conversational AI agents. It provides developers with tools to orchestrate complex pipelines that combine speech recognition, language models, audio processing, and speech synthesis into a cohesive conversational system. Pipecat focuses on low-latency interactions so voice conversations with AI feel natural and responsive during live use. Pipecat allows applications to integrate multiple AI services and transports, enabling flexible deployment across different environments and communication channels. Developers can create a wide range of interactive systems including voice assistants, customer service agents, interactive storytelling applications, and multimodal interfaces that combine voice, video, images, and text. Its modular architecture allows components to be composed into pipelines that process audio, text, and video streams in real time.
