Open Source ChromeOS Software - Page 93
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Software for ChromeOS
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Deepnote
Deepnote is a drop-in replacement for Jupyter
Deepnote is an open-source collaborative data science notebook platform designed as a modern alternative to traditional Jupyter notebooks. The project provides an AI-first computational environment where users can write, analyze, and share code, data, and visualizations in a single integrated workspace. Built on top of the Jupyter kernel ecosystem, it maintains compatibility with existing notebook workflows while introducing additional features focused on collaboration and automation. The system supports programming languages such as Python, R, and SQL and allows users to execute and analyze data directly within interactive notebooks. Deepnote emphasizes team-based data science by enabling real-time collaboration similar to shared document editors, allowing multiple users to work simultaneously on the same notebook environment. -
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Delayed::Job
Database backed asynchronous priority queue
Delayed Job is a Ruby background-processing library designed to move long-running work out of the request cycle and into an asynchronous job queue. It was extracted from Shopify and is built around a database-backed jobs table rather than a separate queueing service. The system stores serialized Ruby objects that respond to a perform method, then workers pull and execute those jobs later. It supports priority, scheduled execution, retries, failure tracking, locking, and multiple workers across machines. Developers can enqueue explicit job objects or use send_later to delay method execution on existing objects. It is best suited for Rails and Ruby applications that need a simple, persistent background job system for emails, imports, downloads, indexing, and batch work. -
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Depth Anything 3
Recovering the Visual Space from Any Views
Depth Anything 3 is a research-driven project that brings accurate and dense depth estimation to any input image or video, enabling foundational understanding of 3D structure from 2D visual content. Designed to work across diverse scenes, lighting conditions, and image types, it uses advanced neural networks trained on large, heterogeneous datasets, producing depth maps that reveal scene depth relationships and object surfaces with strong fidelity. The model can be applied to photography, AR/VR content creation, robotics perception, and 3D reconstruction workflows, making it versatile across industries and research domains. It includes support for high-resolution inputs and post-processing tools that refine depth predictions, helping downstream tasks like segmentation, bounding volume estimation, and mixed reality layering. -
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DevOps Exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git
DevOps Exercises is a massive, community-maintained collection of questions, tasks, and mini-challenges that cover the breadth of modern DevOps and platform engineering. It spans Linux, networking, Docker, Kubernetes, CI/CD, monitoring, cloud providers, security, and even soft skills and troubleshooting. The idea is to give candidates and teams a realistic practice ground for interviews, certifications, and day-to-day operational work. Because it’s structured as Q&A and exercises, you can go through it progressively or dip into specific domains where you need strengthening. The repository gets frequent contributions, keeping it aligned with current tooling and practices. It is widely used by people preparing for DevOps roles because it mirrors the style and depth of questions companies actually ask. -
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Diagram Design
Thirteen editorial diagram types for Claude Code. Self-contained HTML
Diagram Design is a curated resource that provides guidelines and inspiration for creating clear and effective diagrams. It focuses on improving communication through visual design principles such as hierarchy, alignment, and clarity. The project includes examples and best practices for designing diagrams used in presentations, documentation, and product design. It helps users understand how to structure information visually to enhance comprehension. The repository emphasizes simplicity and readability in diagram creation. It is particularly useful for designers, developers, and educators who rely on visual explanations. Overall, it serves as a reference for crafting better visual communication artifacts. -
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Discord Rich Presence
C# custom implementation for Discord Rich Presence
This is a C# implementation of the Discord RPC library which was originally written in C++. This avoids having to use the official C++ and instead provides a managed way of using the Rich Presence within the .NET environment. While the official C++ library has been deprecated, this library has continued support and development for all your Rich Presence needs, without requiring the Game SDK. -
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DivKit
DivKit is an open source Server-Driven UI (SDUI) framework
DivKit is an open source Server-Driven UI (SDUI) framework. It allows you to roll out server-sourced updates to different app versions. Also, it can be used for fast UI prototyping, allowing you to write a layout once and then ship it to iOS, Android, and Web platforms. DivKit is an excellent choice to start using server-driven UI in your project because it can be easily integrated as a simple view in any part of your app. At the starting point, you don’t need a server integration. You can include all JSON on the client-side to try it in a real-world application. Also, we’ve made a sandbox for you to experiment with. You can try different samples in the web editor and see the results on the web or in the Android demo app, both of which are available on Google Play. We’ll publish the iOS demo app shortly. The UI in the demo can be updated live: the sandbox connects to the demo app via web sockets. -
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Docker MCP Gateway
Docker mcp CLI plugin / MCP Gateway
Docker’s MCP Gateway project is a Docker CLI plugin and supporting gateway system designed to run, manage, and securely expose MCP servers using container isolation. It underpins the MCP Toolkit experience in Docker Desktop, but it can also be used independently as a general-purpose MCP operational layer. The core idea is to treat MCP servers like containerized services, giving each server controlled privileges and a lifecycle you can inspect, enable/disable, and reset as needed. Instead of having each AI client manage its own MCP server configuration, the gateway provides a unified interface so multiple clients can connect consistently to the same configured tool surface. The project emphasizes security and operational hygiene by supporting secrets management (to avoid leaking credentials via plain environment variables) and providing built-in OAuth flows for MCP servers that require authenticated service access. -
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Docker Nexus3
Dockerized version of Nexus Repo Manager 3
An official Sonatype-maintained Docker image for Nexus Repository Manager 3 (Community & Pro editions). It packages the repository manager with out-of-the-box settings, optimized for container platforms—featuring persistence, configuration overrides, and separate licensing options. -
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Docksal
Unified, Docker powered web development environments
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DreamBooth Dataset
Text-to-Image Diffusion Models for Subject-Driven Generation
DreamBooth is a research project and dataset repository representing the official assets for the DreamBooth technique, a method for fine-tuning text-to-image generative diffusion models so they can generate specific, personalized subjects from just a handful of example images. Originally developed by researchers at Google Research and Boston University, DreamBooth works by associating a unique identifier token with a small set of photos of a person, object, or style, enabling the model to produce diverse and accurate images of that subject in new contexts once fine-tuned. This method addresses a common limitation of general-purpose diffusion models, which often struggle to faithfully reproduce lesser-known or custom subjects without extensive retraining. -
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EJS
Embedded JavaScript templates for node
EJS is a templating engine for JavaScript/Node.js that allows developers to embed plain JavaScript code into HTML markup. The idea is to avoid introducing a separate DSL for templating and instead use familiar JavaScript logic inside template tags to generate dynamic content. You write templates using <% %> scriptlet tags, <%= %> for output, and you can include other templates, pass data, and control flow with loops and conditionals. It’s fast because it compiles templates to JavaScript functions and caches them by default, so subsequent rendering is efficient. EJS supports both server-side render (in Node/Express) and client-side use in the browser, making it versatile for universal apps. Because you’re using raw JS, debugging is simple—the errors are standard JS stack traces with template line numbers included. While it doesn’t impose a rigid structure (you’re free to organize templates however you like), it works reliably and is simple to adopt. -
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ENScan Go
ENScan_GO is an enterprise information reconnaissance tool
ENScan_GO is an enterprise information reconnaissance tool focused on Chinese corporate data sources. It aggregates official and third-party APIs to pull records like ICP filings, affiliated/holding companies, apps, mini-programs, and WeChat official accounts, then exports merged results for analysis. The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms. Recent releases added a reworked task model with queueing, resumable searches via cached progress, export format options, and a public API surface for custom keyword strategies. Documentation and issues discuss operational concerns such as rate limits, verification challenges, and use of proxies to reduce bans. The project is maintained under Apache-2.0 and is positioned for both single-shot queries and batch investigations. -
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ERNIE
The official repository for ERNIE 4.5 and ERNIEKit
ERNIE is an open-source large-model toolkit and model family from the PaddlePaddle ecosystem that focuses on training, fine-tuning, compression, and practical application of ERNIE large language models. The repository positions ERNIEKit as an industrial-grade development toolkit, emphasizing end-to-end workflows that span high-performance pre-training, supervised fine-tuning, and alignment. It supports both full-parameter training and parameter-efficient approaches so teams can choose between maximum quality and lower-cost adaptation depending on their constraints. The project also emphasizes optimization techniques for large-scale training, including mixed-precision and hybrid-parallel strategies that are commonly needed for multi-node GPU clusters. In addition to training, it includes guidance and example materials intended to help developers adopt ERNIE models for real product scenarios rather than only research demonstrations. -
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EasyExcel
Lightweight Java library developed by Alibaba for reading and writing
EasyExcel is a Java library focused on reading and writing Excel files with very low memory usage, making it suitable for large datasets that overwhelm traditional APIs. It uses streaming/event-driven parsing to avoid loading entire workbooks into memory, and it maps rows to Java objects via simple annotations. Writers support multiple sheets, custom styles, merged cells, and template-based filling so production reports remain maintainable. The API emphasizes developer ergonomics: callbacks are straightforward, converters handle common type transformations, and header/column mapping is explicit. It integrates cleanly into Spring/enterprise stacks, often as part of import/export pipelines or scheduled report generation. By optimizing both performance and ease of use, EasyExcel reduces operational risk around big Excel jobs in web services and back-office tools. -
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EasyVoice
Open source text-to-speech tool, supports extra-long text
easyVoice is an open-source text-to-speech platform aimed at turning long-form text and novels into high-quality audio, with a strong focus on usability and scalability. It provides a web interface where users can paste or upload large texts and generate speech and subtitles in a single workflow, even for works exceeding 100,000 characters. The system supports multi-role voice acting, letting users assign different neural voices to different characters or narrative roles and configure parameters such as rate, pitch, and volume per role. It offers streaming playback so audio starts almost immediately, even for very long inputs, and automatically generates subtitle files suitable for video production or translation workflows. Under the hood, easyVoice uses a modern stack with Vue 3 and Element Plus on the front end, Node.js and Express on the back end, and TTS engines such as Microsoft Azure TTS and OpenAI-compatible APIs, orchestrated through ffmpeg. -
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Effekseer
This software is a particle effect editing tool
Effekseer is an open-source tool designed for creating stunning visual effects for games and multimedia applications. It allows artists and developers to design complex particle effects through an intuitive graphical user interface, supporting various features like particles, beams, and distortion effects. Effekseer supports multiple platforms and integrates seamlessly with popular game engines, enabling the creation of rich visual experiences without extensive programming knowledge. -
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Element Plus
A Vue.js 3 UI Library made by Element team
Element Plus is a comprehensive UI component library for Vue 3 that provides a wide range of pre-built, production-ready interface elements designed to accelerate web application development. It is the successor to the widely used Element UI framework and has been fully rewritten in TypeScript to take advantage of Vue 3’s Composition API and modern tooling. The library offers a cohesive design system along with a large collection of components such as forms, tables, navigation elements, and data visualization tools, enabling developers to build complex interfaces efficiently. It supports multiple build systems and modern development environments, making it adaptable to different workflows and project setups. Element Plus also includes internationalization support, theming capabilities, and a strong emphasis on usability and accessibility. Its ecosystem includes tools for migration, component playgrounds, and starter templates that simplify onboarding and development. -
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Elixir Code Smells
Catalog of Elixir-specific code smells
Elixir-Code-Smells is a research-driven catalog of code smells specific to the Elixir programming language. Unlike generic code smell lists, this project identifies issues emerging from Elixir’s functional, concurrent, and process-based nature. Initially compiled via grey literature (blogs, talks, forums), the catalog now includes 23 Elixir-specific smells plus 12 traditional smells adapted to Elixir. Each entry documents the name, category, problem, example, refactoring strategy, and step-by-step treatments. The smells are grouped into two categories: design-related (coarse-grained, harder to detect, affecting architecture/processes) and low-level concerns (fine-grained, often readability and maintainability issues). The catalog evolves with community feedback and contributions, aiming to help developers recognize harmful patterns and apply disciplined refactoring to improve maintainability, testability, and performance in Elixir systems. -
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Embla Carousel
A lightweight carousel library with fluid motion
A lightweight, customizable carousel library for smooth, touch-friendly interactions. -
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Ethereum Yellow Paper
The "Yellow Paper": Ethereum's formal specification
The Ethereum Yellow Paper repository contains the canonical formal specification of the Ethereum protocol, describing its consensus rules, virtual machine (EVM) semantics, transaction formats, and state transition logic. It encodes rigorous mathematics and pseudocode defining how blocks are validated, how world state evolves, gas accounting, account balances, and execution semantics of opcodes. The paper is the authoritative technical reference for clients, protocol architects, and researchers seeking a precise, unambiguous description of Ethereum’s design and expected behavior. The repository may include the LaTeX source, historical versions (by hard fork), comments, errata, and supplemental updates as the protocol evolves. Because Ethereum has had multiple upgrades (e.g. “Byzantium”, “Istanbul”, “Berlin”), the Yellow Paper often tracks changes to opcode gas costs, state transition nuance, and new EIPs. -
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FFmpegCommand
Command library suitable for Android. It implements audio and video
FFmpegCommand is a graphical utility designed to simplify the generation and execution of FFmpeg commands for multimedia processing tasks. It provides an interface where users can configure parameters such as codecs, bitrates, and formats without manually writing command-line instructions. The tool dynamically builds FFmpeg commands based on user selections, making complex workflows more accessible. It supports common operations such as transcoding, trimming, and format conversion. FFmpegCommand is particularly useful for users who want to leverage FFmpeg’s power without needing deep technical knowledge. It also enables experimentation by allowing users to test configurations before execution. Overall, it bridges the gap between ease of use and advanced media processing functionality. -
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FISSURE
The RF and reverse engineering framework for everyone
FISSURE is an open-source radio frequency analysis and signal intelligence framework built to support software-defined radio research, wireless security experimentation, and protocol reverse engineering. The project brings together tools for capturing, inspecting, decoding, replaying, and analyzing RF signals across a wide range of wireless technologies. It is designed as a practical environment for researchers and operators who need to move from raw spectrum observation to structured investigation without stitching together too many separate utilities by hand. The platform supports workflows related to signal discovery, demodulation, packet inspection, fuzzing, and attack simulation, making it useful for both defensive research and controlled lab testing. Its architecture is oriented toward extensibility, so users can integrate additional hardware, signal-processing components, and protocol-specific modules depending on their needs. -
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Factorio
Factorio headless server in a Docker container
Factorio is an open-source project that provides a Docker container for running a headless Factorio game server. Factorio is a factory-building simulation game in which players automate production lines, research technologies, and manage complex industrial systems, and the repository focuses specifically on hosting the game server in a containerized environment. By packaging the server into a Docker image, the project simplifies the process of deploying and maintaining multiplayer servers across different operating systems and cloud environments. The container automatically handles dependencies, configuration, and updates, making it easier for system administrators and hobbyists to run dedicated Factorio servers. Users can configure server settings, maps, mods, and saved games through mounted volumes and environment variables within the container. -
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FastbuildAI
An open-source AI framework for developers and entrepreneurs
FastbuildAI is a pragmatic framework for building agentic applications that can plan, call tools, and produce reliable outputs without forcing you into a heavy platform. It emphasizes fast iteration: you describe tasks declaratively, wire up tools with typed schemas, and let the runtime handle planning, retries, and result aggregation. The project leans into reproducibility with run records, seed control, and structured traces so you can compare behaviors across versions and inputs. Prompt and memory management are treated as first-class concerns, enabling short-lived scratchpads for reasoning as well as long-horizon state when an agent operates over multiple sessions. The codebase favors small, composable pieces—executors, routers, guards—so teams can adopt just what they need instead of buying into a monolith. It is equally comfortable running locally for development or behind a simple API for production bots and automation workflows.
