Open Source Linux Libraries - Page 98
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LIEL (Language Independent Extension Library) is a language-agnostic library containing solutions to various programming problems and extending the capabilities of existing frameworks and code libraries.
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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 Tornado
The .NET library to build AI agents with 30+ built-in connectors
LLM Tornado is a provider-agnostic .NET SDK designed to build, orchestrate, and deploy AI agents and workflows with a strong focus on flexibility and integration. It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined and executed in parallel or sequential flows. It supports multimodal inputs and outputs, including text, images, audio, and documents, making it suitable for a wide range of AI applications. LLMTornado also integrates advanced protocols such as Model Context Protocol and agent-to-agent communication, enabling complex interactions between systems. With built-in support for local deployments, enterprise guardrails, and observability features. -
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A LibC wrapper for LLVM bitcode. It should be used in LLVM projects that aim to be cross-platform and still retain the functionality of the host operating system's runtime libraries.
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LSGTL means LLX’s Static Graph Template Library which is a light-weighted header-only template library developed mainly for static graph analysis. LSGTL is expected to be used in laboratories for research purposes mostly.
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Unix time, or POSIX time at 03:14:08 UTC on January 19, 2038 represented on 32bit integer will overflow. For people who now, write future callendar apps, this is date/time class thet not nave overflow problem
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LTUI
A cross-platform terminal ui library based on Lua
LTUI is a cross-platform terminal UI library based on Lua. This framework originated from the requirements of graphical menu configuration in xmake. Similar to the Linux kernel's menuconf to configure the compilation parameters, so using curses and lua to implement a cross-platform character terminal ui library. Refer to config-frontends for style rendering. Of course, users can customize different UI styles. -
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LTables
Tabelas em Arquivos.
Biblioteca C que implementa pequeno sistema de armazenamento de dados em tabelas em arquivos binários. -
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LWKT
LGPL WKT parser
LWKT is a WKT parser under the LGPL license. It have not dependencies: it is pure Java compiled with 1.5 or 1.6 version. The output can be as GML 2 or 3 version, optionally setting a SRS name. Supported inputs are: POINT, MULTIPOINT, LINESTRING, MULTILINESTRING, POLYGON, MULTIPOLYGON For each of them, are handled both 2D inputs like: POINT(2.4 12.66) and 3D inputs like: POINT Z(2.4 12.66 0.0) At the following URL: http://95.110.227.201:8080/lwkt is exposed a minimal web interface in order to test it. To do: -add the possibility to parse the input as XY(Z) or YX(Z) -
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LYGIA Shader Library
LYGIA, it's a granular and multi-language (GLSL, HLSL, WGSL, MSL, etc.
LYGIA is a shader library of reusable functions that will let you prototype, port or ship a project in just few minutes. It's very granular, flexible and efficient. Supports multiple shading languages and can easily be added to any project, environment or framework of your choice. -
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LaTeX Examples
Examples for the usage of LaTeX
LaTeX-examples is a repository collecting a variety of example documents and snippets demonstrating LaTeX features, usage patterns, and common templates. It acts as a playground for learning LaTeX syntax, macros, formatting tricks, and document structuring practices. Files include sample articles, reports, book chapters, presentations (using Beamer), tables, mathematical typesetting examples (equations, aligned systems, integrals, matrices), custom macros, and styling. The project is useful both for beginners who want to see working LaTeX samples and for more advanced users seeking snippets for specific formatting needs (e.g., customizing headers, floats, customizing theorem environments). Because examples are self-contained and well-commented, users can copy, adapt, or test them without needing a large TeX toolchain. -
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Lacinia
GraphQL implementation in pure Clojure
Lacinia is a fully featured implementation of Facebook’s GraphQL specification written in idiomatic Clojure. It allows you to define schemas with EDN or GraphQL IDL, resolve queries efficiently, and supports GraphQL capabilities like subscriptions and schema introspection. High-performance parser for GraphQL queries, built on Antlr4. Efficient and asynchronous query execution. Full support for GraphQL types, interfaces, unions, enums, input objects, and custom scalars. Full support for GraphQL subscriptions. Full support of inline and named query fragments. Full support for GraphQL Schema Introspection. -
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LakshmiDROP
Fixed Income Analytics, Portfolio Construction, Asset Backed Cost
DROP implements the model libraries and provides systems for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning. DROP is composed of four main libraries: [Asset Allocation] (https://lakshmidrip.github.io/DROP/AssetAllocationModule.html) [Fixed Income Analytics] (https://lakshmidrip.github.io/DROP/FixedIncomeModule.html) [Numerical Optimization] (https://lakshmidrip.github.io/DROP/NumericalOptimizerModule.html) [Statistical Learning] (https://lakshmidrip.github.io/DROP/StatisticalLearningModule.html) -
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LambdaCD
a library to define a continuous delivery pipeline in code
Abandon your build servers, build your own! With LambdaCD you develop and build pipelines just like your applications: In code, in version control, with tests and refactorings. LambdaCD is a toolbox to enable you to build your own build server. It's got you covered, whether you need ten simple builds or one hugely complex delivery pipeline. -
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LameUtils contails LameInts (large integer numbers signed and unsigned), LameStrings, and LameArray.
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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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LangChain.dart
Build LLM-powered Dart/Flutter applications
LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing developers to build both local and cloud-based AI workflows. It is designed with developer experience in mind, offering strongly typed APIs, modular packages, and seamless integration into Flutter applications. The project also supports real-time communication features such as WebSocket-based APIs and streaming outputs, which are important for interactive applications. -
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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 Echo
Laravel Echo library for beautiful Pusher and Ably integration
In many modern web applications, WebSockets are used to implement realtime, live-updating user interfaces. When some data is updated on the server, a message is typically sent over a WebSocket connection to be handled by the client. This provides a more robust, efficient alternative to continually polling your application for changes. To assist you in building these types of applications, Laravel makes it easy to "broadcast" your events over a WebSocket connection. Broadcasting your Laravel events allows you to share the same event names between your server-side code and your client-side JavaScript application. Laravel Echo is a JavaScript library that makes it painless to subscribe to channels and listen for events broadcast by Laravel. You may install Echo via the NPM package manager. -
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Laravel QuestionAnswer
Vote based Question & Answer site built using Laravel 5.4
Vote-based Question and answer site built using Laravel 5.4, material design, x-editable, jQuery Upvote, and email/database notifications. Registered users can submit questions, answer questions, vote on questions & answers, and when an answer is posted to a question the author is notified via email. Users will also be notified about votes, but only viewable in their profile. -
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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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Laravel UUID
Laravel package to generate and to validate a UUID
Laravel-UUID is a simple package to generate and use UUIDs (Universally Unique Identifiers) as primary keys in Laravel applications. It offers seamless integration with Eloquent models and supports different UUID versions. -
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Laravel World
Laravel package which provides a list of countries, states, cities
The World is a Laravel package that provides a list of countries, states, cities, time zones, currencies, and languages. It can be consumed with the World Facade or the defined API routes.
