Open Source Libraries - Page 34
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Kotlin JDSL
Kotlin library that makes it easy to build and execute queries
Kotlin JDSL is a Kotlin library that makes it easy to build a query without a generated metamodel. There are many libraries that use an annotation processing tool (APT) to do the job. However, with the APT, you have to recompile whenever the name or type of field in an entity or a table class is changed. Kotlin JDSL provides a domain-specific language (DSL) based on KClass and KProperty to help you easily build queries without such inconveniences from the APT. Kotlin JDSL does not provide an executor or a wrapper class as it is designed to help you build and execute queries with the library you are using. -
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Kovenant
Kovenant. Promises for Kotlin
The easy asynchronous library for Kotlin. With extensions for Android, RxJava, JavaFX and much more. -
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Kubernetes & OpenShift Java Client
Java client for Kubernetes & OpenShift
This client provides access to the full Kubernetes & OpenShift REST APIs via a fluent DSL. -
4
LLM CLI
Access large language models from the command-line
A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine. -
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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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LMAX Disruptor
High performance inter-thread messaging library
LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. We found that cache misses at the CPU-level, and locks requiring kernel arbitration are both extremely costly, so we created a framework which has "mechanical sympathy" for the hardware it’s running on, and that’s lock-free. This is not a specialist solution, it’s not designed to work only for a financial application. The Disruptor is a general-purpose mechanism for solving a difficult problem in concurrent programming. It works in a different way to more conventional approaches, so you use it a little differently than you might be used to. -
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LangChain for .NET
C# implementation of LangChain
LangChain .NET is a C# implementation of the LangChain framework that enables developers to build LLM-powered applications using the .NET ecosystem. The project aims to replicate the core abstractions of LangChain, such as chains, agents, and vector stores, while adapting them to the conventions and strengths of C#. It emphasizes composability, allowing developers to build complex workflows by combining modular components that interact with language models and external data sources. The framework supports integration with multiple providers, including OpenAI and other compatible APIs, and includes tools for embeddings, document loading, and vector database interaction. It also provides both low-level async APIs and higher-level chain abstractions, giving developers flexibility in how they structure their applications. With built-in support for retrieval-augmented generation and structured pipelines, LangChain .NET is designed for production-ready AI systems. -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources, APIs, and tools. It supports multiple providers including OpenAI, Anthropic, Google, and local models, offering a unified interface for interacting with different backends. LangChainGo also includes support for embeddings, semantic search, and retrieval-augmented generation, enabling developers to build data-aware applications. With built-in abstractions for agents and tool usage, it enables the creation of systems that can reason, take actions, and interact with their environment. -
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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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Laravel Socialite
Laravel wrapper around OAuth 1 & OAuth 2 libraries
Laravel Socialite provides an expressive, fluent interface to OAuth authentication with Facebook, Twitter, Google, LinkedIn, GitHub, GitLab and Bitbucket. It handles almost all of the boilerplate social authentication code you are dreading writing. Laravel Socialite provides an expressive, fluent interface to OAuth authentication with Facebook, Twitter, Google, LinkedIn, GitHub, GitLab and Bitbucket. It handles almost all of the boilerplate social authentication code you are dreading writing. To get started with Socialite, use the Composer package manager to add the package to your project's dependencies. When upgrading to a new major version of Socialite, it's important that you carefully review the upgrade guide. Before using Socialite, you will need to add credentials for the OAuth providers your application utilizes. -
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LeakCanary
A memory leak detection library for Android
LeakCanary is a reliable memory leak detection library for Android. It effectively detects leaks and narrows down the cause of each leak through its in-depth knowledge of the internals of the Android Framework. This helps developers avoid and dramatically reduce OutOfMemoryError (OOM) crashes. A memory leak is a programming error that can cause an OutOfMemoryError crash. It’s often caused by bugs related to the lifecycle of objects, and can occur fairly often in Android applications. LeakCanary helps to find and fix those leaks during development so you never have to experience another OOM crash. -
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LeetCode Master
About "Code Thoughts" LeetCode Practice Guide: 200 classic questions
leetcode-master is a comprehensive collection of LeetCode solutions written in C++ and organized as a structured learning path for coding interview preparation. The repository contains detailed explanations, categorized problem sets, and step-by-step reasoning behind solutions, making it an effective study companion for developers preparing for technical interviews. Problems are grouped by topic—such as arrays, linked lists, dynamic programming, greedy algorithms, and graph theory—so learners can focus on specific areas systematically. Each solution is accompanied by clear commentary to explain the thought process, algorithm design, and complexity analysis. The project is continuously updated and widely used by learners as both a reference and a roadmap to progress from beginner to advanced LeetCode practice. With its thorough coverage and educational style, leetcode-master helps programmers build strong problem-solving skills and confidence for competitive programming. -
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Lets-Plot Kotlin API
Kotlin API for Lets-Plot Multiplatform plotting library
Lets-Plot Kotlin API is a Kotlin API for Lets-Plot Multiplatform plotting library, which is built on the principles of layered graphics first described in the Leland Wilkinson work The Grammar of Graphics. -
14
Lettuce
Advanced Java Redis client for thread-safe sync, async, etc.
Build elastic data access. Lettuce is a scalable Redis client for building non-blocking Reactive applications. Lettuce is a fully non-blocking Redis client built with netty providing Reactive, Asynchronous and Synchronous Data Access. Lettuce provides asynchronous API with RedisFuture (CompletionStage) and Reactive types Flux [N] and Mono [0|1]. Low-latency communication, backpressure-enabled network engine for NIO TCP, epoll TCP and Unix Domain Sockets. Reactive Streaming is fully supported. Lettuce comes with an API that gets you started quickly. Its simple yet powerful programming model allows you for trivial use-cases as well as for chained asynchronous flows. Redis Standalone, Master/Slave, Redis Sentinel and Redis Cluster. Lettuce connects with all operational models natively supported by Redis. Partition-tolerance, Read Slaves and Transport-Level-Security provide the required foundation for highly scalable applications. -
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Lexbor
Lexbor is development of an open source HTML Renderer library
Lexbor is the development of a web browser engine available as a software library; it ships with a free license and has no extra dependencies. For us, speed is an absolute must-have. In our development process, we focus on fastest parsing techniques for HTML, CSS, and fonts, fastest data processing methods, and fastest ways to serve content to end users. Whether you are building a backend that handles millions of HTML documents or a UI-heavy user app, your software’s response rate always matters to users and developers alike. Lexbor’s code is optimized for ease of access in end-user applications and across programming languages. You can effortlessly wrap all the capabilities of the library in, say, Python to power your end-user or backend applications in a new environment. In other words, lexbor offers a feature-rich core that developers can build upon as they see fit. -
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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. -
18
Localization Library
Android In-app language changing library
Header image Android library for in-app language changes support in your application. -
19
Logbook
An extensible Java library for HTTP request and response logging
Logbook is an extensible Java library to enable complete request and response logging for different client- and server-side technologies. It satisfies a special need by a) allowing web application developers to log any HTTP traffic that an application receives or sends b) in a way that makes it easy to persist and analyze it later. This can be useful for traditional log analysis, meeting audit requirements or investigating individual historic traffic issues. Logbook is ready to use out of the box for most common setups. Even for uncommon applications and technologies, it should be simple to implement the necessary interfaces to connect a library/framework/etc. to it. -
20
Lyricist
Missing I18N/L10N (internationalization/localization) multiplatform
Jetpack Compose greatly improved the way we build UIs on Android, but not how we interact with strings. stringResource() works well, but doesn't benefit from the idiomatic Kotlin like Compose. Lyricist tries to make working with strings as powerful as building UIs with Compose, i.e., working with parameterized string is now typesafe, use of when expression to work with plurals with more flexibility, and even load/update the strings dynamically via an API. -
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MIT License
Hosted MIT License with details controlled through this repo
The MIT License repository is a simple GitHub project that hosts the full text of the MIT License and provides a stable reference for developers who want to include permissive licensing details in their work. The MIT License itself is one of the most widely used open-source licenses because it allows reuse, modification, distribution, and even proprietary use, as long as copyright notices and license texts are preserved. This repository offers an easy way to copy the license text, understand its legal language, and see example usage in a context that is separate from any specific software project. It can also be useful for automated tooling and templates where a standard license file is needed across multiple repositories or as part of a code generation process. While not a software library or application, the repository serves an important role in open-source governance by centralizing a commonly adopted license with clear formatting. -
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MUI Core
React components for faster and easier web development
MUI Core (formerly Material-UI) consists of React components for faster and easier web development, with options for creating your own design system or starting with Material design. MUI components work without any additional setup, and don't pollute the global scope. -
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MahApps.Metro IconPacks
Awesome icon packs for WPF and UWP in one library
Awesome icon packs for WPF and UWP in one library. -
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Malicious PDF Generator
Generate a bunch of malicious pdf files with phone-home functionality
Generate ten different malicious PDF files with phone-home functionality. Can be used with Burp Collaborator or Interact.sh. Used for penetration testing and/or red-teaming etc. I created this tool because I needed a third-party tool to generate a bunch of PDF files with various links. -
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Material Components for Android
Modular and customizable Material Design UI components for Android
Material Components for Android delivers Material Design’s popular and reliable design and development resources to Android developers. With Material Design’s modular and customizable UI components, Android developers can create beautiful, high quality products faster and easier. Developed by a core team of engineers and UX designers at Google, Material Components enable developers to achieve a more reliable development workflow for building exceptional and highly functional apps. Material Components for Android is a drop-in replacement for Android's Design Support Library, offering tried and trusted Material Design guidelines and components.
