Open Source Lua Libraries - Page 2
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Lua Libraries
View 76 business solutionsBrowse free open source Lua Libraries and projects below. Use the toggles on the left to filter open source Lua Libraries by OS, license, language, programming language, and project status.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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Orgmode.nvim
Orgmode clone written in Lua for Neovim 0.10.3+
orgmode.nvim is a Neovim plugin that brings Org mode-style productivity features from Emacs to Neovim. It supports Org syntax for task management, agenda planning, notes, and literate programming. The plugin is designed to work natively in Lua and integrates with Neovim’s modern ecosystem while preserving Org mode’s power and flexibility. -
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PECS
Entity Component System (ECS) for PICO-8 & Picotron
PECS is a lightweight Entity Component System (ECS) framework tailored for PICO-8 and Picotron, implemented in just 567 tokens. Based on KatrinaKitten's Tiny ECS Framework v1.1, PECS allows developers to manage game entities and their behaviors efficiently within the token limitations of PICO-8. -
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Property/configuration mechanism for high-performance C++ applications. Similar to but more flexible than Java properties. Property settings provide type safety, expressive error messages and full-featured expressions. Based on the Lua language.
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QL
Extending standart QLUA
This library is developing by users of QLUA. Main purpose - make it easier and faster to write add-ons for Quik using LUA. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Quorra
Lua interpreter and API for .NET
Quorra provides a multi-platform Lua API runtime and console for .NET applications. -
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ResNeXt
Implementation of a classification framework
ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive parameter blowup. The design is modular and homogeneous, making it relatively easy to scale (by tuning cardinality, width, depth) and adopt in existing residual frameworks. The official repository offers a Torch (Lua) implementation with code for training, evaluation, and pretrained models on ImageNet. In practice, ResNeXt models often outperform standard ResNet models of comparable complexity. -
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char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)
char-rnn is a classic codebase for training multi-layer recurrent neural networks on raw text to build character-level language models that learn to predict the next character in a sequence. It supports common recurrent architectures including vanilla RNNs as well as LSTM and GRU variants, letting users compare behavior and output quality across model types. It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the trained network to generate new text one character at a time in the style of the dataset. The project is designed for experimentation, offering tunable settings for depth, hidden size, dropout, sequence length, and sampling temperature to control creativity and coherence. It is frequently used as a learning project for understanding sequence modeling, recurrent training dynamics, and the practical details of text generation. -
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fast-neural-style
Feedforward style transfer
The fast-neural-style project is an implementation of neural style transfer techniques optimized for real-time image processing. It uses convolutional neural networks to apply artistic styles to images, enabling users to transform photos into stylized outputs inspired by famous artworks. Unlike earlier approaches that required expensive optimization per image, this project leverages feed-forward networks to achieve fast inference, making style transfer practical for real-world applications. The repository includes training scripts, pre-trained models, and examples demonstrating how to apply styles efficiently. It also provides insights into the underlying techniques used in neural style transfer, making it both a practical tool and a learning resource. By combining performance and quality, it enables creative applications in image processing and design. Overall, fast-neural-style showcases how deep learning can be used for real-time artistic transformations. -
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indent-blankline.nvim
Indent guides for Neovim
indent-blankline.nvim is a Neovim plugin that adds vertical indentation guides to visually indicate code structure. It supports modern syntax parsing through Treesitter and provides extensive configuration options for appearance, scope highlighting, and context awareness. This plugin is essential for users who want cleaner and more structured code visuals. -
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liblzg is a minimal implementation of an LZ77 class compression library. The main characteristic of the library is that the decoding routine is very simple, fast and requires no memory.
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lua-resty-openidc
OpenID Connect Relying Party and OAuth 2.0 Resource Server
lua-resty-openidc is a library for NGINX implementing the OpenID Connect Relying Party (RP) and/or the OAuth 2.0 Resource Server (RS) functionality. When used as an OpenID Connect Relying Party it authenticates users against an OpenID Connect Provider using OpenID Connect Discovery and the Basic Client Profile (i.e. the Authorization Code flow). When used as an OAuth 2.0 Resource Server it can validate OAuth 2.0 Bearer Access Tokens against an Authorization Server or, in case a JSON Web Token is used for an Access Token, verification can happen against a pre-configured secret/key. It maintains sessions for authenticated users by leveraging lua-resty-session thus offering a configurable choice between storing the session state in a client-side browser cookie or use in of the server-side storage mechanisms shared-memory|memcache|redis. -
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LuaNotify is inspired on many libraries that do event dispatching, like py-notify, GSignals, QT event system, wxWidgets event system, etc. Making easier to implement lua software using Notifier/Observer pattern.
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mason-lspconfig.nvim
Extension to mason.nvim that makes it easier to use lspconfig
mason-lspconfig.nvim is a companion plugin for the Mason Neovim ecosystem that bridges Mason with nvim-lspconfig. It provides seamless configuration and automatic setup of language servers installed through Mason, making it easier to manage LSPs in a declarative and user-friendly way. -
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neuranep
Neural Network Engineering Platform
A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. NeuraNEP handles microthread scheduling, synchronization, distribution and communication. This project is a fork of SpikeOS (sourceforge.net/projects/spikeos) and represents a major update to that code base, including a scripting interface and low-level rewrite of several components. SpikeOS was oriented towards computational modeling. NeuraNEP is oriented toward neural network research. -
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nui.nvim
UI Component Library for Neovim
UI Component Library for Neovim. -
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nvim-cmp
A completion plugin for neovim coded in Lua
nvim-cmp is a fast, extensible autocompletion plugin for Neovim written in Lua. It supports asynchronous completion sources, snippet expansion, and user-defined completions. nvim-cmp is designed to integrate smoothly with Neovim’s built-in LSP, treesitter, and other ecosystem tools, making it a core component of modern Neovim configurations. -
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nvim-config
A modern Neovim configuration with full battery
nvim-config is a personal, well-documented Neovim configuration maintained by jdhao, optimized for productivity and modern plugin ecosystems. It includes setups for language servers, autocompletion, syntax highlighting, fuzzy finding, and aesthetics. This configuration is a great starting point or reference for users setting up a performant and feature-rich Neovim environment. -
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nvim-lspconfig
Quickstart configs for Nvim LSP
nvim-lspconfig is a plugin for Neovim that simplifies the configuration and setup of built-in Language Server Protocol (LSP) support. It provides predefined configurations for many popular language servers, helping users quickly integrate features like code completion, diagnostics, go-to-definition, and refactoring into their Neovim setup. It is actively maintained and widely adopted by the Neovim community. -
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refactoring.nvim
The Refactoring library based off the Refactoring book
refactoring.nvim is a Neovim plugin developed to bring powerful automated code refactoring capabilities to one of the most popular text editors among programmers, giving developers a suite of refactoring operations that streamline repetitive restructuring tasks inside the editor. Built around an intuitive set of commands and a Lua API, the plugin allows users to extract and inline variables or functions, pull blocks of code into new files, and modify code structure without leaving the comfort of Neovim’s modal interface. It integrates with built-in Neovim selection modes and can work with third-party tools like Telescope to present refactoring options quickly, enabling rapid transformation of code patterns. Beyond pure refactor actions, the plugin includes debugging helpers that insert print statements or remove them, aiding developers in tracing program flow and inspecting variable states as part of iterative development. -
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snacks.nvim
A collection of QoL plugins for Neovim
snacks.nvim is a playful and minimal plugin for Neovim that shows little "snack" animations or messages in the command line during idle moments. It adds charm and personality to the editor without being intrusive, appealing to users who enjoy aesthetic feedback in their development environment. snacks.nvim is written in Lua and intended as a lighthearted UX enhancement. -
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torch-rnn
Efficient, reusable RNNs and LSTMs for torch
The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing data, training models, and sampling outputs. It includes tools for handling datasets, converting text into structured formats, and managing checkpoints during training. By leveraging Torch’s modular design, the project allows users to experiment with different architectures and hyperparameters with minimal overhead. It is particularly useful for researchers and developers interested in understanding how recurrent models work at a low level. -
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nlua -- namespace Lua. nlua provides a C++ binding to Lua. The API is simple and reads like the C++ version of Lua`s official C-API.
