Open Source ChromeOS Libraries - Page 4
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Libraries for ChromeOS
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Decompose
Kotlin Multiplatform lifecycle-aware business logic components
Decompose is a Kotlin Multiplatform library for breaking down your code into tree-structured lifecycle-aware business logic components (aka BLoC), with routing functionality and pluggable UI (Jetpack/Multiplatform Compose, Android Views, SwiftUI, Kotlin/React, etc.). -
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Dragonbox
Reference implementation of Dragonbox in C++
This library is a reference implementation of Dragonbox in C++. Dragonbox is a float-to-string conversion algorithm based on a beautiful algorithm Schubfach, developed by Raffaello Giulietti in 2017-2018. Dragonbox is further inspired by Grisu and Grisu-Exact. Dragonbox generates a pair of integers from a floating-point number: the decimal significand and the decimal exponent of the input floating-point number. These integers can then be used for string generation of the decimal representation of the input floating-point number, the procedure commonly called ftoa or dtoa. -
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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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GenAI Processors
GenAI Processors is a lightweight Python library
GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking. -
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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Go Container Registry
Go library and CLIs for working with container registries
go-containerregistry is a Go library (with companion tools) for interacting with container images and registries using OCI/Docker formats. It provides primitives to read, write, mutate, sign, and copy images and indexes across registries without shelling out to Docker. High-level utilities like crane and gcrane offer convenient CLIs for everyday tasks—listing tags, copying images between registries, flattening, creating tarballs, and more. The library handles authentication via a pluggable keychain system that understands Docker config files, credential helpers, and environment credentials. It understands multiple on-disk layouts (tarball, OCI layout, remote) and lets you transform images in memory by adding or rebasing layers, adjusting config, and annotating manifests. Because everything is regular Go code, it’s straightforward to embed in CI/CD systems, policy engines, and bespoke supply-chain tooling. -
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Go Jsonnet
This an implementation of Jsonnet in pure Go
go-jsonnet is a pure Go implementation of the Jsonnet data templating language, which extends JSON with variables, functions, imports, and a standard library so you can generate complex configuration safely. Instead of hand-maintaining massive JSON files, you write concise, reusable templates that evaluate to JSON or YAML, with deterministic semantics and rich error messages. The repository ships both an embeddable VM for Go programs and a command-line interpreter, making it easy to integrate templating into build systems, CLIs, and services. Import paths and custom resolvers let you structure large configuration trees across directories or remote sources, while top-level arguments and external variables parameterize builds per environment. Native functions can be registered from Go to expose domain-specific helpers without forking the language. Tooling such as a formatter and linter-friendly errors encourages clean, consistent templates that scale across teams. -
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Google Maps SDK for Android Samples
Samples demonstrating how to use Maps SDK for Android
Create dynamic, interactive and personalized experiences with maps, locations and geospatial experiences for your Android apps. Create an account, generate an API key, and start creating. Learn how to load the Maps SDK for Android and add a map with a bookmark to your web application. You can customize almost all aspects of the map, such as routes, landforms and places of interest, among others. Find the current location of an Android device and display details of the place or other place of interest in that location. Add bookmarks to a map, interact with click events, customize color and image, and more. Displays an information window with additional data and context when users press a bookmark. Customize user interaction by configuring integrated UI components and gestures. Listen to events on the map, including clicks on maps, clicks on markers, camera changes, and overlay events, among others. -
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Hera
Hera is an Argo Python SDK
Hera is an Argo Python SDK. Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. -
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Hoplite
Boilerplate-free Kotlin config library for loading configuration files
Hoplite is a Kotlin library for loading configuration files into typesafe classes in a boilerplate-free way. Define your config using Kotlin data classes, and at startup Hoplite will read from one or more config files, mapping the values in those files into your config classes. Any missing values, or values that cannot be converted into the required type will cause the config to fail with detailed error messages. -
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Kotshi
An annotation processor that generates Moshi adapters
An annotation processor that generates Moshi adapters from Kotlin classes. There is a reflective adapter for Kotlin but that requires the Kotlin reflection library which adds a lot of methods and increases the binary size which in a constrained environment such as Android is something is not preferable. This is where Kotshi comes in, it generates fast and optimized adapters for your Kotlin data classes, just as if you'd written them by hand yourself. It will automatically regenerate the adapters when you modify your class. It's made to work with minimal setup, through there are limitations. Most of the limitations will be addressed as the support for Kotlin annotation processors improves. -
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LangExtract
A Python library for extracting structured information
LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. The system excels at handling long documents using optimized chunking, multi-pass extraction, and parallel processing to ensure both high recall and structured consistency. -
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Lazybones
A simple project creation tool that uses packaged project templates
Lazybones is a project creation tool and template manager for Groovy and JVM-based applications. It allows developers to generate new projects from templates with a simple command, filling in details such as project structure, configuration files, and boilerplate code. Templates can be customized or created from scratch, making it easy to enforce consistent setups across teams or organizations. Lazybones supports updating existing projects from newer versions of templates, easing long-term maintenance. It is commonly used to bootstrap Grails, Ratpack, or Gradle-based projects, but it can handle any JVM project layout. By automating the scaffolding process, Lazybones reduces setup time and encourages best practices by distributing pre-approved templates. -
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Luvit Lua
Bare libuv bindings for lua
Libuv bindings for Luajit and Lua. This library makes libuv available to Lua scripts. It was made for the luvit project but should be usable for nearly any Lua project. The library can be used by multiple threads at once. Each thread is assumed to load the library from a different lua_State. Luv will create a unique uv_loop_t for each state. You can't share uv handles between states/loops. -
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Monix
Asynchronous, Reactive Programming for Scala and Scala.js
Monix is a high-performance, reactive, and asynchronous programming library for Scala and Scala.js. Built as a Typelevel project, it provides advanced abstractions like Task, Observable, Iterant, and Coeval, enabling compositional, back-pressure‑aware event-driven systems that integrate cleanly with Cats Effect and Reactive Streams. -
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Moquette Project
Java MQTT lightweight broker
JVM lightweight MQTT broker for the Internet of Things. Simply embeddable in your IoT projects. Moquette aims to be a MQTT compliant broker. The broker supports QoS 0, QoS 1 and QoS 2. Its designed to be evented, uses Netty for the protocol encoding and decoding part. -
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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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Rust Latam
Learn to write Rust procedural macros
This is a workshop/repository by the Rust developer David Tolnay (dtolnay) intended to teach how to write Rust procedural macros (derive macros, function-like macros, attribute macros). The repo contains multiple toy/realistic macro projects drawn from real use-cases: e.g., derive(Builder), derive(CustomDebug), seq!, #[sorted], #[bitfield]. The README indicates the focus is on learning: parsing token streams, generating code, handling generics, attribute arguments, etc. It has test harness and workflow guidance. Because procedural macros are quite subtle in Rust, this workshop is a strong resource for anyone wanting to go from beginner to intermediate/advanced macro writing. -
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SeriesGuide
Track your favorite TV shows and movies on Android devices
SeriesGuide highlights shows with new episodes and is backed by the huge TV show catalog of TMDb. It can display movies currently in cinemas or released digitally and offers access to the huge movie catalog of TMDb. It also integrates with Trakt to sync your watched episodes and movies. Connect your Trakt account or sign into SeriesGuide Cloud to sync your watched episodes and movies. Hit the share button to post a link to an awesome episode or movie to any Android app, including WhatsApp, Signal, Facebook and Twitter. Visual indicators make it easy to see remaining episodes and to spot unseen episodes. The statistics tool sums how many hours you have spent watching (and still have to). -
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Spring Integration
Provides an extension of the Spring programming model
Extends the Spring programming model to support the well-known Enterprise Integration Patterns. Spring Integration enables lightweight messaging within Spring-based applications and supports integration with external systems via declarative adapters. Those adapters provide a higher-level of abstraction over Spring’s support for remoting, messaging, and scheduling. Spring Integration’s primary goal is to provide a simple model for building enterprise integration solutions while maintaining the separation of concerns that is essential for producing maintainable, testable code. -
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Stagemonitor
An open source solution to application performance monitoring for java
Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. -
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Store5
A Kotlin Multiplatform library for building network-resilient apps
Modern software needs data representations to be fluid and always available. Users expect their UI experience to never be compromised (blocked) by new data loads. Whether an application is social, news or business-to-business, users expect a seamless experience both online and offline. International users expect minimal data downloads as many megabytes of downloaded data can quickly result in astronomical phone bills. Store is a typed repository that returns a flow of Data /Loading /Error from local and network data sources. -
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance. -
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Thread Affinity
Bind a java thread to a given core
Lets you bind a thread to a given core, this can improve performance (this library works best on linux). Java-Thread-Affinity will try to use JNA to provide access to native thread-handling functions. JNA should be installed on your system to get the most from this library. Java-Thread-Affinity currently depends on JNA version 4.4.0, which in turn depends on a version of GLIBC >= 2.14. If your operating system is an old one, with a version of GLIBC released before 2011, this library will not be able to invoke native functions. -
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Vico
A light and extensible chart library for Android
Vico is a light and extensible chart library for Android. It’s compatible with both Jetpack Compose and the view system, but its two main modules—compose and views—are independent. -
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YCharts
YCharts is a graph library for Android
YCharts is a Jetpack-compose-based charts library that enables developers to easily integrate various types of charts/graphs into their existing UI to visually represent statistical data. YCharts supports both cartesian(XY-charts) and polar charts(Radial charts).
