Open Source JavaScript Software for ChromeOS
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JavaScript Software for ChromeOS
Browse free open source JavaScript Software for ChromeOS and projects below. Use the toggles on the left to filter open source JavaScript Software for ChromeOS by OS, license, language, programming language, and project status.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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WenQuanYi (Spring of Letters)
Crowd-sourcing CJK font project
This project aims to develop the most complete, standard compliant, high-quality Chinese (and CJKV) fonts and resources, including bitmap and outline fonts of various styles. We also develop web-based tools to facilitate online font-dev collaborations. -
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diagrams.net
Security-first diagramming for teams
Bring your storage to our online tool, or go max privacy with the desktop app. Diagram files created in 2005 will load in the app today. Works with Google Drive and Google Workplace (G Suite). Use add-ons for Docs, Sheets and Slides. It works with OneDrive and Sharepoint. Office 365 app for Word, Powerpoint and Excel. Highest-rated Confluence app in the Atlassian Marketplace. Works in Jira too. Works with GitHub, GitLab and Dropbox for visual documentation in distributed teams. You can download diagrams.net Desktop for offline use on Windows, macOS, Linux and ChromeOS. Nextcloud is an ideal on-premise file hosting system for diagrams.net. -
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drawio-desktop
Security-first diagramming for teams
Security-first diagramming for teams. Bring your storage to our online tool, or go max privacy with the desktop app. Works with Google Drive and Google Workplace (G Suite). Use add-ons for Docs, Sheets and Slides. Works with OneDrive and Sharepoint. Office 365 app for Word, Powerpoint and Excel. Highest-rated Confluence app in the Atlassian Marketplace. Works in Jira too. Works with GitHub, GitLab and Dropbox for visual documentation in distributed teams. Download diagrams.net Desktop for offline use on Windows, macOS, Linux and ChromeOS. Nextcloud is an ideal on-premise file hosting system for diagrams.net. Entity relationship diagrams or ER models in software engineering show the structure of and relationships between database objects. They are used extensively in database modelling to plan new systems, and document existing systems for maintenance and updates. -
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Style2Paints
Sketch + style = paints
style2paints is an AI-assisted colorization system aimed primarily at line art and manga, turning monochrome drawings into colored illustrations with minimal manual effort. It combines automatic color inference with user guidance, letting artists nudge the model using sparse color hints, masks, or style references. The pipeline focuses on preserving line quality while spreading coherent colors and shading across regions that are often ambiguous to purely automatic methods. Iterative refinement is a core workflow: you can add or adjust hints, rerun inference, and progressively converge on a desired palette and lighting. Beyond flat fills, the model attempts plausible shading and highlights so the result feels less like a “paint bucket” and more like a finished illustration. Because it’s built for artists rather than only researchers, the project emphasizes an approachable UI, predictable edits, and reproducible outputs across sessions. -
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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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform. -
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Blockly Games
Games for tomorrow's programmers
Blockly Games is a collection of educational games that teach core programming concepts using Google’s Blockly visual blocks. Each game introduces ideas like sequencing, loops, conditionals, functions, and variables through playful puzzles that gradually increase in difficulty. Under the hood, the block programs compile to JavaScript, giving learners a bridge from drag-and-drop logic to real code. The activities are self-contained and browser-based, requiring no installation, which makes them suitable for classrooms and workshops. Progression is scaffolded: earlier levels constrain the toolset, while later levels unlock more expressive blocks and optional textual views. The project’s emphasis on immediate visual feedback and forgiving iteration lowers the barrier for first-time programmers while still rewarding mastery. -
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bfxr
Flash + AIR sound effects generator. Based on Sfxr.
The bfxr project by increpare is a sound-effects generator tool originally built using Flash + AIR, based on the earlier Sfxr project. Its purpose is to enable users, especially game developers and sound designers, to quickly generate retro, 8-bit/“chiptune” style sound effects (“bleeps”, “booms”, “zaps”, etc.) without deep knowledge of audio signal processing. It offers an interactive GUI through which you can tweak many parameters (oscillators, envelopes, filters, etc.) to sculpt custom sound effects; you can preview in real time, export, and iterate. The project includes libraries, HTML templates, and both ActionScript and JavaScript code. It has been well-received (over a thousand stars), but as of 2025, it has been superseded by a newer version called bfxr2, which is a JavaScript reworking of the original. -
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Earth Engine API
Python and JavaScript bindings for calling the Earth Engine API
The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. Visualization helpers render tiled layers and charts so analysts can iterate quickly on workflows like land-cover mapping, change detection, or time-series analysis. By combining petabyte-scale data with concise functional transforms, the API turns complex remote-sensing pipelines into reproducible scripts that are easy to share. -
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WorkerVless2sub
Automate batch replacement to generate subscription generators
WorkerVless2sub is a dedicated subscription generator focused on providing “preferred line” subscriptions by processing VMess, VLESS, Trojan nodes, filtering and replacing automatically via a Cloudflare Worker script. The idea is you supply node lists (or use existing APIs/CSV sources) and the worker filters them by criteria like speed or reliability and then emits a subscription link for end-users. It supports deployment on Cloudflare Pages or Workers, offers configuration via variables like HOST, UUID, PATH, ADD, ADDAPI etc., and has an Apache-2.0 license. The tool supports both IPv4 and IPv6 node sources, speed test CSV inputs, and logic to drop nodes that don’t meet the threshold (DLS variable). It has a sizeable star count and forks indicating broader adoption in self-hosted proxy subscription communities. The README also explicitly warns about hosting personal private nodes in the script if intending public use. -
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JavaGuide
"Java Learning + Interview Guide" covers the core Java knowledge
JavaGuide is an open source knowledge base and learning resource for Java developers, created and maintained by Snailclimb. The project organizes and explains a wide range of Java-related concepts, from language fundamentals to advanced topics such as concurrency, JVM internals, distributed systems, and high availability design. It is especially popular among developers preparing for technical interviews, as it compiles common knowledge points, detailed explanations, and source code analyses that interviewers frequently explore. The repository also includes sections on computer science basics such as operating systems, networks, and data structures, along with practical guides for databases, Redis, MySQL, and MongoDB. Beyond core Java, JavaGuide covers tools like Maven, Docker, Git, and frameworks like Spring, Spring Boot, and MyBatis. Its structured approach makes it a comprehensive handbook for both beginners and experienced backend engineers. -
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HumanLayer
Open source IDE for orchestrating AI coding agents in large codebases
HumanLayer is an open source development environment designed to help developers orchestrate and manage AI coding agents working within complex software projects. It provides a framework and tooling that allow AI agents to research, plan, and implement changes in large codebases while maintaining structured workflows. It focuses on enabling AI-assisted development through coordinated agent workflows rather than isolated code generation tasks. HumanLayer integrates with modern AI models and coding assistants to automate tasks such as code research, planning, and implementation while maintaining a structured development process. HumanLayer introduces advanced context management techniques that help AI agents understand large repositories and operate effectively across multiple tasks. It also supports collaborative workflows where developers and AI agents can work together with human oversight and control. -
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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
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civitai
Open platform for sharing and discovering Stable Diffusion models
Civitai is an open source project that provides the codebase for a platform designed to share and manage generative AI models used for image generation. It focuses primarily on models compatible with Stable Diffusion and related technologies, allowing creators to upload, organize, and distribute custom AI models and related resources. These resources can include textual inversions, hypernetworks, aesthetic gradients, and variational autoencoders that modify or extend the capabilities of diffusion-based image generation systems. Civitai encourages collaboration by allowing users to publish their models, explore models created by others, and learn from the techniques used in the community. It also supports user accounts, model browsing, and interaction features that help creators showcase their work and receive feedback from other users. Developers can deploy the project to run their own instance of the platform and integrate with its available API to retrieve models. -
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fess
Open source enterprise search server for websites, files, and data
Fess is an open source enterprise search server designed to provide powerful full-text search capabilities across multiple data sources. It enables organizations to quickly deploy a scalable search environment without requiring deep knowledge of underlying search technologies. Fess is built on top of OpenSearch and offers an integrated solution for crawling, indexing, and searching documents from websites, file systems, and various data stores. Fess includes a built-in crawler that can collect content from sources such as databases, CSV files, and shared storage, making it suitable for centralized knowledge discovery. It supports indexing and searching across many document formats including office documents, PDFs, and compressed archives. It also provides a web-based administrative interface that allows administrators to configure crawling targets, manage indexing tasks, and adjust search settings from a graphical dashboard. -
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Rill
Fast SQL-based BI tool for real-time dashboards and analytics
Rill is an operational BI tool that turns raw datasets into fast, interactive dashboards using SQL and a code-first approach. It helps data teams move from data lake to insight quickly, without the complexity of traditional BI systems. With an embedded in-memory database powered by DuckDB or ClickHouse, queries run in milliseconds, enabling real-time exploration and analysis. Rill supports local and remote data sources such as CSV, Parquet, S3, and GCS, making it flexible across environments. Its BI-as-code model combines SQL, YAML configuration, Git version control, and CLI tools, allowing teams to build, manage, and deploy analytics workflows efficiently. Automatic data profiling and responsive query updates help users understand datasets instantly. Interactive dashboards come with opinionated defaults, so teams can focus on insights instead of setup, while metrics layers standardize business logic for consistent reporting across dashboards, APIs, and AI systems. -
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Comprehensive Rust
This is the Rust course used by the Android team at Google
Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust, and FFI. It is designed to be taught in classroom settings but can also be followed independently, making it useful both for structured training and self-study. The materials are presented in a slide-based format with accompanying examples and hands-on exercises to reinforce key concepts. By offering an accessible yet thorough introduction, the course helps learners gain practical experience with Rust while building a strong understanding of its unique safety and performance guarantees. -
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LoLLMs WEBUI
Local AI WebUI for running and managing large language models offlineA
lollms-webui is a locally hosted web interface designed to run and manage large language models without relying on external services. It provides users with a centralized environment to interact with multiple AI models, making it suitable for experimentation, development, and personal use. lollms-webui emphasizes offline capability, allowing users to maintain privacy and control over their data while still accessing advanced AI features. It integrates model management tools that help users download, configure, and switch between different language models with ease. It is built to be user-friendly while still offering advanced customization options for power users who want deeper control over model behavior. Additionally, it supports extensibility through plugins or modular components, enabling users to expand functionality as needed. Overall, it serves as a flexible platform for running AI locally with a focus on usability and adaptability. -
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Wanwu AI Agent Platform
Enterprise AI agent platform for workflows, models, and RAG apps
Wanwu is an enterprise-grade AI agent development platform designed to help organizations build and deploy intelligent applications at scale. It provides a multi-tenant environment that enables teams to create AI agents, orchestrate workflows, and implement retrieval-augmented generation systems within a unified framework. Wanwu integrates large language models with business process automation, allowing developers to design complex, production-ready AI solutions tailored to enterprise needs. It includes comprehensive model lifecycle management capabilities, enabling users to configure, monitor, and manage different models efficiently. Wanwu also supports knowledge base construction, allowing organizations to incorporate structured and unstructured data into their AI applications. With a focus on openness and extensibility, it encourages developers to build on top of its ecosystem while maintaining a secure and compliant architecture for business use cases. -
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draw.io
JavaScript client-side editor for general diagramming & whiteboarding
draw.io is a JavaScript, client-side editor for general diagramming and whiteboarding. draw.io, this project, is a configurable diagramming/whiteboarding visualization application. draw.io is jointly owned and developed by JGraph Ltd and draw.io AG. draw.io is a diagramming or whiteboarding application, depending on which theme is selected. It is not an SVG editing app, the SVG export is designed only for embedding in web pages, not for further editing in other tools. The application is designed to be used largely as-is. It's possible to alter the major parts of the interface, but if you're looking for an editor with very specific editing features, the project is likely not a good base to use. That is to say, if you wanted to create/deploy a whiteboard or diagramming application where the functionality in the main canvas is as this project provides, it is more likely to be a good base to use. -
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Apache Guacamole
HTML5 Clientless Remote Desktop
Apache Guacamole is a clientless remote desktop gateway. It supports standard protocols like VNC, RDP, and SSH. We call it clientless because no plugins or client software are required. Thanks to HTML5, once Guacamole is installed on a server, all you need to access your desktops is a web browser. -
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FreeMarker template engine
Generates text that depends on changing data (like dynamic HTML).
FreeMarker is a template engine. That is, it provides an easy way to generate text (HTML, source code, configuration files, emails, etc.) that depends on changing data. It's designed to separate the rendering/formatting logic (like visual design, HTML issues, etc.) from the backing application logic and technical complexity. It has a flexible API so you can integrate it into your application the way that best fits it. -
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GitMCP
Turn any GitHub repository into an MCP documentation server for AI
GitMCP is an open source remote Model Context Protocol (MCP) server designed to transform GitHub repositories into structured documentation hubs that AI assistants can query directly. It enables developer-focused AI tools to access up-to-date project documentation and source code so that responses are grounded in real repository content rather than outdated training data. By exposing repository documentation and code through standardized MCP tools, GitMCP helps reduce incorrect or fabricated answers when AI systems assist with coding tasks. It can operate in repository-specific mode, where an AI assistant connects to a particular project, or in a generic mode that allows switching between multiple repositories dynamically. Its architecture retrieves documentation, analyzes code, and provides searchable access to repository information through semantic search and code analysis capabilities. -
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JsAction
JsAction is a small event delegation library
JSAction is a JavaScript framework developed by Google that provides a structured, event-driven architecture for managing user interactions in large-scale web applications. It simplifies event handling by declaratively binding actions to DOM elements through HTML attributes, enabling clean separation between markup and behavior. JSAction helps improve performance, maintainability, and reliability by minimizing the use of inline scripts and global event listeners. It is especially useful in complex front-end environments where efficient event delegation and well-defined interaction flows are crucial. -
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Marzipano
A 360° media viewer for the modern web
Marzipano is a 360° media viewer designed for the modern web, allowing developers to display panoramic images and videos interactively with smooth performance and responsive controls. Built using HTML5, CSS3, and JavaScript, it supports multi-resolution tiling and optimized rendering to deliver efficient, high-quality experiences even with very large panoramas. The viewer can be easily embedded into web applications, offering controls for zooming, panning, and navigating between scenes. Developers can include Marzipano via direct script inclusion from the official website or as an npm dependency. The repository includes live demos, documentation, and a developer guide for local builds, testing, and release management. It also offers a live-reloading development server and automated browser-based test suites. -
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MathSteps
Step by step math solutions for everyone
mathsteps is a JavaScript library that performs step-by-step algebraic simplification and equation solving for expressions provided as strings. It exposes functions to simplify expressions and to solve equations, returning a structured sequence of steps that detail each transformation. For every step, mathsteps reports the original node, the change type, the resulting node, and any substeps, which makes it useful for education, debugging, and explainable math tooling. The library also exposes a catalog of change types so callers can interpret or filter specific transformations. It is distributed via npm and requires Node.js greater than version 6, with a straightforward API that fits neatly into web or server environments. The repository includes tests and contribution guidelines, making it approachable for developers who want to extend or adapt the behavior for their own applications.
