Open Source ChromeOS Software Development Software - Page 15
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Software Development Software for ChromeOS
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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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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Alibaba Dragonwell8
Alibaba Dragonwell8 JDK
Over the years, more than a billion lines of Java code have been written in Alibaba. While adopting OpenJDK to run these applications, we have found a need to customize it specifically for large-scale Java application deployments. Our customization has been well-tested in our environment. We are now contributing some of our work into the Java community. Alibaba Dragonwell, as a downstream version of OpenJDK, is the in-house OpenJDK implementation at Alibaba. It is optimized for online e-commerce, financial and logistics applications running on 100,000+ servers. Alibaba Dragonwell is the engine that runs these distributed Java applications in extreme scaling. -
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Allegro
The official Allegro 5 git repository. Pull requests welcome
Allegro 5 is the latest major revision of the Allegro library, designed to take advantage of modern hardware, including hardware acceleration using 3D cards. -
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Apache Spark
A unified analytics engine for large-scale data processing
Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science. -
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Boneyard
Auto generated skeleton loading framework
Boneyard is an experimental or utility-focused repository that serves as a collection of discarded, archived, or exploratory code projects. It functions as a sandbox where developers can store unfinished ideas, prototypes, or deprecated implementations without removing them entirely. The project provides a space for experimentation, allowing developers to revisit past work, extract useful components, or learn from previous attempts. It often contains a variety of code snippets or mini-projects that may not be production-ready but still hold educational or practical value. Boneyard reflects a development philosophy that values iteration and learning through experimentation rather than discarding work completely. It can also serve as a reference repository for patterns, techniques, or ideas that might be reused in future projects. Overall, Boneyard acts as a digital archive of development efforts that preserves knowledge and supports continuous improvement. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Booklore
Digital library with smart shelves
Booklore is a comprehensive self-hosted digital library platform that helps readers organize, manage, track, and even read their personal collections of books and comics from a centralized web interface. It provides powerful metadata management that automatically fetches rich details like titles, authors, covers, and publication info so your library looks organized and beautiful without manual data entry. Users can create smart shelves with custom filters, build dynamic collections that update automatically, and search through thousands of entries instantly, turning chaotic folders of files into a curated reading experience. Booklore supports multi-user access with granular permission controls, making it suitable for families, book clubs, or shared collections, and its built-in reader can display PDFs, EPUBs, and comic formats directly in a browser. -
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Files
A nicer way to handle files & folders in Swift
Files is a lightweight Swift library that provides a more expressive and user-friendly interface for working with files and directories compared to the native FileManager API. It abstracts common file system operations into an object-oriented model, enabling developers to interact with files and folders using intuitive constructs such as Folder and File types. The library simplifies tasks like reading, writing, moving, renaming, and deleting files while maintaining robust error handling through Swift’s try-catch mechanisms. It also supports recursive traversal of directory structures, making it easy to iterate through file trees for scripting or automation purposes. Designed primarily for Swift scripting and tooling, Files can also be embedded into applications that require file system access. Its implementation is compact and efficient, often contained within a single file, which makes it easy to integrate into projects without adding unnecessary complexity. -
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Haze
Background blurring for Compose Multiplatform
Haze is a modern UI library designed for Jetpack Compose and Compose Multiplatform that enables advanced background blurring effects commonly associated with glassmorphism design. It provides a high-level abstraction for creating dynamic blur effects that apply to content behind UI elements rather than just the elements themselves, solving a limitation of standard blur modifiers. The library is built on top of Compose’s graphics layer APIs, allowing it to operate consistently across multiple platforms while maintaining performance. It introduces a flexible styling system where developers can define blur intensity, masking, and opacity dynamically using composable scopes. One of its standout features is support for progressive blurring, where blur intensity changes across a gradient, creating more visually refined effects. It also includes prebuilt “material” styles inspired by platforms like iOS and Windows, enabling developers to replicate native design aesthetics. -
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Kalibr Allan
IMU Allan standard deviation charts
kalibr_allan is a utility repository that provides scripts and tools for calculating IMU noise parameters for use in Kalibr and other IMU filtering systems. While manufacturers typically provide “white noise” values in IMU datasheets, the bias instability and random walk parameters must be determined experimentally. This project enables users to compute those values using Allan variance analysis from recorded IMU data. The workflow involves recording IMU measurements with the device stationary, converting ROS bag files into MATLAB-compatible formats, and then running MATLAB scripts to generate Allan deviation plots. These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. The repository also includes example data and plots from real sensors such as the XSENS MTI-G-700, Tango Yellowstone Tablet, and ASL-ETH VI-Sensor, providing reference points for interpretation. -
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Krayin CRM
Free & Opensource Laravel CRM solution for SMEs and Enterprises
Krayin CRM is a hand-tailored CRM framework built on some of the hottest open-source technologies such as Laravel (a PHP framework) and Vue.js a progressive Javascript framework. Free & Opensource Laravel CRM solution for SMEs and Enterprises for complete customer lifecycle management. We also have a forum for any type of concerns, feature requests, or discussions. Please visit: Krayin CRM Forums. -
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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for targeted capabilities. Quality is a recurring theme: examples and utilities help filter low-value samples, enforce length limits, and split train/validation consistently so results are comparable. Licensing and provenance are surfaced to encourage compliant usage and to guide dataset selection in commercial settings. For practitioners, the repo is a practical “starting pantry” that accelerates experimentation and helps keep data wrangling from dominating the project timeline. -
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Laravel Sharp
Laravel 10+ Content management framework
Sharp is a content management framework, a toolset that provides help to build a CMS section in a website, with some rules in mind. The public website should not have any knowledge of the CMS, the CMS is a part of the system, not the center of it. In fact, removing the CMS should not have any effect on the project. Content administrators should work with their data and terminology, not CMS terms. I mean, if the project is about spaceships, space travels, and pilots, why would the CMS talk about articles, categories, and tags? Developers should not have to work on the front-end development for the CMS. Because life is complicated enough, Sharp takes care of all the responsive / CSS / JS stuff. -
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LibChecker
An app to view libraries used in apps in your device
This app is used to view the third-party libraries used by applications in your device. It can view the ABI architecture of the application's native library (in general, whether the application is 64-bit or 32-bit). It can also view well-known libraries marked by The Rule Repository, and can even sort and view them according to the number of libraries references. -
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LiteBox
A security-focused library OS supporting kernel execution
LiteBox is a security-focused “library OS” sandboxing project that aims to shrink the interface between an application and its host environment to reduce attack surface. Instead of relying solely on broad OS-level permissions, it focuses on isolating workloads by tightly controlling the boundary where code interacts with host services and system resources. The design emphasizes interoperability across different integration layers, describing a separation between “North” shims (how apps or runtimes plug in) and “South” platforms (where the sandbox runs), which helps the system adapt to multiple deployment contexts. A key aspect of the project is that it targets both kernel-mode and user-mode scenarios, enabling experimentation with different trust and performance tradeoffs. The repository positions LiteBox as a foundation for building hardened execution environments where untrusted or semi-trusted components can run with reduced privileges and a minimized host interface. -
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Lucky
A full-featured Crystal web framework that catches bugs for you
Lucky is a web framework written in Crystal. It helps you work quickly, catch bugs at compile time, and deliver blazing-fast responses. Lucky is extremely fast and uses very little memory. You and your users will love the extra dose of speed. Authentication, asset management, CORS, database ORM, and more can all be included when creating a new Lucky project. Instead of finding bugs in QA or in production, Lucky is designed to catch as many bugs as possible at compile time. Lucky uses Action classes for handling HTTP requests and responses. The classes map the routes and parameters it handles to a response block. Lucky can generate these classes for you with ’lucky gen.action`. Using a class per action provides very solid automatic error detection, as well as the generation of routing, path, and link helpers and methods. -
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MatCaps
Huge library of matcap PNG textures organized by color
Matcaps is a comprehensive library of matcap (material capture) PNG textures organized by color, providing artists and developers with a wide range of materials for 3D modeling and rendering. Matcaps simplifies the process of applying consistent and realistic materials to 3D models, enhancing visual quality without the need for complex shader setups. -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels, perform exact GP inference, and study training dynamics analytically for infinitely wide networks. The library closely mirrors JAX’s stax API while extending it to return a kernel_fn alongside init_fn and apply_fn, enabling drop-in workflows for kernel computation. Kernel evaluation is highly optimized for speed and memory, and computations can be automatically distributed across accelerators with near-linear scaling. -
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OpenZeppelin Contracts
OpenZeppelin Contracts is a library for secure smart contracts
A library for secure smart contract development. Build on a solid foundation of community-vetted code. OpenZeppelin Contracts uses semantic versioning to communicate backward compatibility of its API and storage layout. To keep your system secure, you should always use the installed code as-is, and neither copy-paste it from online sources nor modify it yourself. The library is designed so that only the contracts and functions you use are deployed, so you don't need to worry about it needlessly increasing gas costs. Reduce the risk of vulnerabilities in your applications by using standard, tested, community-reviewed code. -
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PartiQL Lang Kotlin
PartiQL libraries and tools in Kotlin.
This is a Kotlin implementation of the PartiQL specification. PartiQL is based on SQL-92 and has added support for working with schemaless hierarchical data. PartiQL’s extensions to SQL are easy to understand, treat nested data as first-class citizens, and compose seamlessly with each other and SQL. This repository contains an embeddable reference interpreter, test framework, and tests for PartiQL in Kotlin. -
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PowerSploit PowerShell
A PowerShell Post-Exploitation Framework
PowerSploit is a collection of PowerShell modules that historically served as a toolkit for post-exploitation tasks, red-team exercises, and offensive-security research—covering areas like reconnaissance, lateral movement, persistence, and situational awareness. The repository bundles many focused scripts: code to enumerate system and Active Directory information, payload generation helpers, in-memory execution utilities, and modules to interact with credentials and services. Because the modules can be used to both demonstrate weaknesses and to exploit them, the project is typically referenced in threat emulation, penetration testing, and defensive research to understand attacker capabilities. Responsible use centers on authorized assessments: defenders use the toolkit to validate monitoring and detection, while operators apply its lessons to patch, harden, and instrument systems. -
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PyScript is a framework that allows users to create rich Python applications in the browser using HTML's interface and the power of Pyodide, MicroPython and WASM, and modern web technologies. PyScript is a meta project that aims to combine multiple open technologies into a framework that allows users to create sophisticated browser applications with Python. It integrates seamlessly with the way the DOM works in the browser and allows users to add Python logic in a way that feels natural both to web and Python developers.
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Quint Code
Structured reasoning framework for Claude Code, Gemini, and Cursor
Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. Instead of accepting the first plausible answer generated by an AI assistant, Quint Code encourages generating multiple competing hypotheses, verifying them, and validating them against real evidence stored in a structured “knowledge base” within your project. It supports a cycle of abduction, deduction, and induction backed by CLI commands (like /q1-hypothesize, /q2-verify, /q3-validate, etc.) that create a persisting audit trail in a .quint/ directory. -
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Rapidcsv
C++ CSV parser library
Rapidcsv is an easy-to-use C++ CSV parser library. It supports C++11 (and later), is header-only and comes with a basic test suite. -
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ReUI
Design-forward shadcn kit for interfaces that stand out
ReUI is a design-forward component library built for the shadcn/ui ecosystem, offering a large-scale collection of production-ready UI components and layouts intended to accelerate modern React and Next.js development. Unlike traditional UI libraries that focus on isolated components, ReUI emphasizes real-world usage by presenting components within complete dashboard layouts and application flows, making it easier for developers to understand how pieces fit together in practical scenarios. The project includes over 1,000 reusable components organized across dozens of categories, along with custom in-house primitives such as data grids, kanban boards, and advanced filtering systems that are not part of the base shadcn/ui toolkit. Its copy-and-own philosophy eliminates dependency lock-in by allowing developers to directly copy component code into their own repositories, ensuring full control and customization. -
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React Router
Declarative routing for React
React Router is a standards‑focused, multi‑strategy routing library for React applications, offering both full‑framework capabilities and lightweight, flexible library usage. It enables robust routing experiences across React versions. It supports advanced features in React 19. You can use it maximally as a React framework or minimally as a library with your own architecture. First‑class type safety with automatic type generation for route params and data. It is designed to facilitate migration from React 18 to React 19 with non‑breaking upgrades -
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. Simple as well as complex, high-volume batch jobs can leverage the framework in a highly scalable manner to process significant volumes of information.
