Open Source ChromeOS Software - Page 59
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Software for ChromeOS
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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RED HAWK
All-in-one reconnaissance and vulnerability scanning toolkit for sites
RED HAWK is an open source command-line security tool designed for information gathering, vulnerability scanning, and web reconnaissance tasks. It combines multiple scanning and analysis capabilities into a single toolkit to help security researchers and penetration testers quickly analyze a target website. It can collect a wide range of information about domains, servers, and web applications, including network details, hosting configuration, and content management system detection. It also provides vulnerability scanning features that help identify potential issues such as error-based SQL injection vulnerabilities and sensitive file exposure. RED HAWK includes utilities for performing DNS lookups, port scans, subdomain discovery, and reverse IP analysis, giving users a comprehensive view of a target environment. In addition to vulnerability detection, RED HAWK offers crawling features that gather links and metadata from websites to support deeper reconnaissance. -
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Reflex Dev
Web apps in pure Python
Reflex is a Python framework for building full-stack web apps entirely in Python—without writing JavaScript for the frontend. It provides fast live reloads, built-in state management, deployment tooling, and optional AI-powered scaffolding to accelerate development. -
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Riffusion
Real-time music generation using stable diffusion techniques AI
Riffusion (hobby) is a Python-based open source library designed for real-time music and audio generation using stable diffusion techniques. Riffusion (hobby) works by generating and manipulating spectrogram images, which are then converted into playable audio clips, effectively bridging image-based diffusion models with sound synthesis. It implements a diffusion pipeline that supports prompt interpolation, allowing smooth transitions between different musical styles or prompts over time. Riffusion (hobby) serves as the core implementation for audio and image processing, providing essential building blocks for generating music from text prompts. It includes both developer-oriented tools and user-facing components such as a command-line interface and an interactive Streamlit application for experimentation. Additionally, it can run as a Flask server to expose model inference through an API, enabling integration with other applications or services. -
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SAM 3D Body
Code for running inference with the SAM 3D Body Model 3DB
SAM 3D Body is a promptable model for single-image full-body 3D human mesh recovery, designed to estimate detailed human pose and shape from just one RGB image. It reconstructs the full body, including feet and hands, using the Momentum Human Rig (MHR), a parametric mesh representation that decouples skeletal structure from surface shape for more accurate and interpretable results. The model is trained to be robust in diverse, in-the-wild conditions, so it handles varied clothing, viewpoints, and backgrounds while maintaining strong accuracy across multiple human-pose benchmarks. The repository provides Python code to run inference, utilities to download checkpoints from Hugging Face, and demo scripts that turn images into 3D meshes and visualizations. There are Jupyter notebooks that walk you through setting up the model, running it on example images, and visualizing outputs in 3D, making it approachable even if you are not a 3D expert. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Screenshot as a Service
Website screenshot service powered by node.js and phantomjs
Screenshot as a Service is an archived Node.js project that provides a simple website screenshot service powered by Express and PhantomJS. It exposes an HTTP server that can receive a URL, render the page through PhantomJS, and return or save a screenshot image. The project was designed as a lightweight service for automating visual captures of websites without manually opening a browser. It includes asynchronous usage examples for taking screenshots of multiple sites at regular intervals and saving them to disk. Because it relies on PhantomJS, it reflects an older generation of headless browser tooling and should not be treated as a modern screenshot stack. It remains useful as a reference for the basic architecture of screenshot APIs and automated web capture services. -
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Seerr
Open-source media request and discovery manager for Jellyfin
Seerr is a free, open-source web application for managing and fulfilling user requests for media content in your personal media server ecosystem. It integrates seamlessly with popular media servers like Jellyfin, Plex, and Emby, allowing users to browse catalogs and make automated requests for items they want added to the library. Seerr also integrates with backend automation tools such as Sonarr, Radarr, and others to automatically handle content delivery once a request is approved. The project emerged from a merge of similar tools to create a single unified codebase focused on elegant media discovery, streamlined request flows, and a modern UI. It’s designed for both home users and self-hosters who want an easier way to coordinate media requests among family, friends, or community members. Seerr’s architecture supports plugins, themes, and APIs for extensibility, and the community continues to build add-ons and mobile extensions. -
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Spring AI
An Application Framework for AI Engineering
Spring AI is a framework within the Spring ecosystem that simplifies the integration of artificial intelligence capabilities into Java applications by providing abstractions over various AI services and models. It is designed to align with familiar Spring development patterns, allowing developers to incorporate AI features such as chat, embeddings, and prompt handling using consistent APIs. The framework supports multiple providers, including OpenAI, Azure OpenAI, and other compatible services, enabling flexibility in deployment strategies. It focuses on production readiness by offering features such as configuration management, observability, and integration with Spring Boot applications. Spring AI also includes support for retrieval-augmented generation, enabling applications to connect language models with structured and unstructured data sources. Its architecture encourages modular design, making it easier to extend or swap components without rewriting large parts of the system. -
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StoryGen Atelier
AI-assisted storyboard and video generation tool
StoryGen Atelier is an advanced creative tool that blends AI with visual storytelling, making it possible to generate fully structured storyboards and stitched videos from text prompts without requiring manual art or animation skills. Users begin with natural language descriptions of their story or scene, and the system uses state-of-the-art large models to generate both the script and corresponding frames. Once individual frames are created, a second AI model generates transition clips that smoothly link the frames into a coherent short video sequence, and the tool then assembles everything into a finished video using standard video processing tools. This pipeline transforms abstract creative ideas into shareable visual narratives, offering a powerful workflow for writers, filmmakers, content creators, and educators alike. -
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Strix
Open-source AI hackers to find and fix your app’s vulnerabilities
Strix is an open source agent-driven security platform that uses autonomous AI agents to identify, investigate, and validate vulnerabilities in software applications. The system is designed to mimic the behavior of real attackers by executing dynamic testing and verifying findings through proof-of-concept exploitation. Unlike traditional vulnerability scanners that rely heavily on static analysis, Strix agents actively run code, probe systems, and attempt exploitation to confirm whether vulnerabilities are genuinely exploitable. The platform is intended for developers and security teams that need rapid security assessments without the overhead of manual penetration testing engagements. Strix can orchestrate multiple cooperating agents that divide investigation tasks and collaboratively analyze complex applications or infrastructure. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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System Design Primer
Learn how to design large-scale systems
System Design Primer is a curated, open source collection of resources that helps engineers learn how to design large-scale systems. The project is structured as a comprehensive guide covering core system design concepts, trade-offs, and patterns necessary for building scalable, reliable, and maintainable systems. It offers both theoretical foundations—such as scalability principles, the CAP theorem, and consistency models—and practical exercises, including real-world system design interview questions with sample solutions, diagrams, and code. The repository also contains study guides for short, medium, and long interview timelines, allowing learners to focus on both breadth and depth depending on their preparation needs. In addition, it includes flashcard decks designed to reinforce learning through spaced repetition, making it easier to retain key system design knowledge. -
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Tamagui
Style React fast with 100% parity on React Native
Tamagui is a cross-platform UI framework and styling system for React and React Native that enables developers to build high-performance applications with a single codebase shared across web and mobile platforms. It combines a universal style system with a powerful optimizing compiler that transforms styled components into efficient, platform-specific output, significantly improving runtime performance. The framework provides a superset of the React Native styling API, allowing developers to write styles once and have them work consistently across environments. Tamagui also includes a full UI kit with both styled and unstyled components, enabling flexible design system creation. Its compiler performs advanced optimizations such as CSS extraction, tree flattening, and dead code elimination, reducing bundle size and improving rendering speed. The system includes robust theming capabilities with support for design tokens, responsive props, and dynamic themes like dark mode. -
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Teardroid
It's easy to use android botnet work without port forwarding
It's easy to use Android botnet work without port forwarding, VPS, and Android Studio. Run Shell Command ( use findphno command in a run shell command to get the device phone number and use findx:pdf to find all the pdf files on the device ) It will prompt you with your Control Panel url enter your deta space control panel url without /v4 or your own server URL (without/at the end of the URL). You will also be prompted for the title and text of the notification. Enter what you want to display on the notification. Using your own keystore it's not recommended to use the default keystore you can modify the values in the Config.py file to use your own keystore with Teardroid v4. -
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TensorFlow Docs
TensorFlow latest official documentation Chinese version
TensorFlow Docs repository maintained by the Xitu translation community provides a Chinese version of the official TensorFlow documentation. Its goal is to make the extensive TensorFlow ecosystem more accessible to developers and researchers who prefer to learn in Chinese. The repository contains translated guides, API explanations, tutorials, and conceptual documentation that mirror the structure of the original TensorFlow documentation site. Contributors from technology companies, universities, and the open-source community collaborate to maintain and update the translations so they stay aligned with new TensorFlow releases. The documentation covers fundamental concepts such as tensors, computational graphs, model training, optimization, and neural network APIs, along with advanced topics including distributed training and production deployment. -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. The repository is actively maintained and widely starred, reflecting its role as a go-to reference for newcomers and experienced practitioners alike. -
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The Pope Bot
Autonomous AI agent that you can configure and build
The Pope Bot is an autonomous AI agent framework that lets users configure and run an AI-powered agent that can perform tasks continuously, day in and day out, by leveraging GitHub Actions, commit history, and secure workflows. It’s designed so that every action taken by the agent is logged as a git commit, giving users complete visibility into what the agent did, why it did it, and when, which makes actions auditable and reversible. The framework treats the repository itself as the agent’s “brain,” and GitHub Actions serve as the compute layer, enabling tasks to run securely without exposing sensitive API keys to the underlying AI. The system integrates with messaging platforms like Telegram, where users can interact with the bot, trigger actions, or receive notifications, and supports scheduling and automation through patterns of request handling. -
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TikTok Live Connector
Node.js library to receive live stream events
TikTok Live Connector is a Node.js library for receiving real-time TikTok LIVE events from TikTok’s internal Webcast push service. It can connect to a live stream by username and listen for events such as comments, gifts, member joins, follows, shares, questions, likes, subscriptions, viewer updates, and battles. The library does not require user credentials for basic live chat connection, which makes it useful for overlays, chat readers, bots, dashboards, alerts, and livestream interaction tools. It is a reverse-engineering project rather than an official TikTok production API, so developers should expect platform changes and occasional breakage. Recent development has focused on a more modular TypeScript architecture and expanded event schema support. It is best used for experiments, prototypes, creator tools, and non-critical realtime TikTok LIVE integrations. -
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Timeliner
All your digital life on a single timeline, stored locally
Timeliner is a personal data aggregation utility that collects digital activity from multiple sources and stores it locally on the user’s own computer. Its original purpose was to help preserve personal and family history by bringing scattered online records into one searchable timeline. The project can import different kinds of personal data, index them, and present them as a unified chronological archive. It is designed around data ownership, long-term preservation, and the idea that people should be able to keep meaningful records outside closed platforms. The repository is now deprecated in favor of its successor, Timelinize, so it should be viewed as an older implementation rather than the current recommended tool. Even so, it remains a useful reference for local-first personal archiving and timeline-based data organization. -
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TrackersListCollection
A list of popular BitTorrent Trackers
TrackersListCollection is a daily-updated collection of BitTorrent tracker server lists, curated and filtered from across the internet to build a “best of” list and a full list for usage in torrent clients, automation, or performance tuning. The project scans public trackers, tests their responsiveness or status, categorises them (e.g., all trackers vs best trackers), and makes plain-text files available (like best.txt, all.txt) that can be included in download clients or scripts. Because trackers can go offline or degrade over time, the daily refresh schedule is crucial for maintaining a high-quality list. The repo also includes metadata and mirrors to handle international usage and multiple download sources. For people who use torrent infrastructure, ensure peers connect reliably, or want to automate external tracker lists for aria2 or other clients, this is a practical and well-maintained source. -
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Translation Agent
Agentic translation using reflection workflow
Translation Agent is a Python demonstration of an agentic translation workflow that uses reflection to improve machine translation quality. Instead of asking a language model for a single direct translation, it first generates a translation, then asks the model to critique it, and finally uses that critique to produce a stronger version. This structure makes the system more steerable than a traditional translation pipeline. Users can adjust prompts to control tone, formality, terminology, idiom handling, and regional language choices. The project includes example scripts and a simple Python interface for translating between source and target languages. It is useful for researchers, developers, and localization teams exploring how LLM-based workflows can produce better, more customizable translations. -
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Ultimate React Course
https://github.com/jonasschmedtmann/ultimate-react-course
Ultimate React Course is the official repository for Jonas Schmedtmann’s Ultimate React course. It provides starter files, final project code, and FAQs that support a complete React learning path from fundamentals to more advanced application patterns. The course materials cover modern React development with components, props, state, effects, forms, routing, data fetching, state management, and larger real-world projects. Learners can begin each section from starter code, then compare their work against the final implementation when debugging or reviewing concepts. The repository is primarily an educational companion rather than a reusable app framework. It is useful for students who want a structured React practice environment with many examples built exactly as shown in the course. -
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Understand Anything
Turn any codebase into an interactive knowledge graph
Understand-Anything is an AI-driven tool designed to help users deeply understand any topic by generating structured explanations, summaries, and breakdowns. It focuses on transforming complex or unfamiliar subjects into clear, step-by-step explanations that are easier to grasp. The system leverages language models to provide layered insights, allowing users to explore topics at different levels of detail. It is particularly useful for learning, research, and quick comprehension of new concepts across various domains. The project emphasizes accessibility, making advanced knowledge more approachable for a wider audience. It also supports iterative questioning, enabling users to refine their understanding through follow-up queries. -
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UnoPIM
A free and open source Laravel-based PIM software to help businesses
Unopim is an open-source Product Information Management (PIM) system designed to help businesses manage and centralize product data. It provides a structured way to collect, enrich, and distribute product information across multiple channels, improving data consistency and accuracy. Unopim is designed to streamline product data management for e-commerce, retail, and marketing applications, allowing for better data governance and more efficient updates. -
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XIAOJUSURVEY
Powerful survey system for creating, managing, and analyzing forms
Xiaoju Survey is an open source survey platform developed to support the creation, distribution, and analysis of questionnaires at scale. It provides a comprehensive system for designing surveys with various question types, allowing users to build flexible and structured forms suited for different data collection needs. Xiaoju Survey includes tools for managing survey workflows, enabling teams to organize responses and monitor participation efficiently. It also focuses on data analysis capabilities, helping users extract insights from collected responses through built-in reporting and visualization features. Xiaoju Survey is designed with extensibility in mind, allowing developers to customize or integrate it into existing systems. Its architecture supports high availability and scalability, making it suitable for enterprise-level deployments. Overall, Xiaoju Survey aims to streamline the entire lifecycle of survey management from creation to actionable insights. -
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adventure
A user-interface library, formerly known as text, for Minecraft
Adventure is a library for server-controllable user interface elements in Minecraft: Java Edition. The Adventure documentation should be used alongside the Javadocs. If you have further questions, feel free to join our Discord. Most users will want to use Adventure as a component of an existing modding platform. The best integrated are our Native Support, but we also support other platforms via adapters. -
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age
A simple, modern and secure encryption tool (and Go library)
age is a security-oriented tool and library by Filo Sottile. age is a simple, modern, secure encryption utility (and Go library) that emphasizes minimal configuration and strong defaults. It provides small explicit keys, no complex options, and is designed for UNIX-style composability; you can pipe into it, integrate it into scripts, etc. It supports a clearly defined format and promotes interoperability across implementations (there are Rust, TypeScript, etc). The project is well-suited for personal data encryption, backup use-cases, scripting encryption workflows, and embedding encryption in tools. Because of its design philosophy, it avoids the bloat of many older encryption utilities while maintaining strong cryptographic hygiene. It’s especially useful for developers or system administrators who want to adopt encryption without learning a multitude of options.
