Search Results for "lightweight programming language" - Page 10
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Showing 3491 open source projects for "lightweight programming language"
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Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
Search with Lepton is an open source demonstration project that shows how to build a conversational search engine using the Lepton AI framework. It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code... -
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Introduction to Zig
An open, technical and introductory book for the Zig programming lang
This is the official repository for the book "Introduction to Zig: a project-based Book", written by Pedro Duarte Faria. To know more about the book, check out the About this book section below. You can read the current version of the book in your web browser. The book is built using the publishing system Quarto in conjunction with a little bit of R code (zig_engine.R), which is responsible for calling the Zig compiler to compile and run the Zig code examples. -
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Ren'Py
The Ren'Py Visual Novel Engine
Ren’Py is a free and open-source visual novel engine that makes telling interactive stories easy by combining narrative scripting with multimedia support for images, sound, and music in a way that’s accessible to both beginners and experienced developers. Its scripting language is designed to be readable and intuitive, allowing writers and creators to define scenes, dialogues, branching choices, character expressions, and events without deep programming knowledge, while still offering the ability to embed Python for advanced control and custom gameplay features. The engine handles essential visual novel conventions like save and load systems, rollback to previous text, scene transitions, and UI menus, so creators can focus on the story and player experience. ... -
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DSPy
DSPy: The framework for programming—not prompting—language models
Developed by the Stanford NLP Group, DSPy (Declarative Self-improving Python) is a framework that enables developers to program language models through compositional Python code rather than relying solely on prompt engineering. It facilitates the construction of modular AI systems and provides algorithms for optimizing prompts and weights, enhancing the quality and reliability of language model outputs. -
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MicroPython
Python implementation for microcontrollers and constrained systems
MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. -
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Riff
Nine opinionated skills for writing personal essays with Claude
...It also supports extensibility, allowing developers to adapt the tool to different programming environments. Overall, Riff acts as an intelligent coding assistant that improves productivity and developer experience. -
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NVTX (NVIDIA Tools Extension Library)
C-based Application Programming Interface (API)
NVTX (NVIDIA Tools Extension) is a cross-platform API designed to annotate source code with rich metadata that can be consumed by developer profiling and debugging tools. It allows developers to insert markers, ranges, and events directly into their applications, providing contextual insight into how code executes on CPUs and GPUs. These annotations are visualized in tools such as NVIDIA Nsight Systems and Nsight Compute, enabling developers to identify performance bottlenecks, track... -
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Catlab.jl
A framework for applied category theory in the Julia language
Catlab.jl is a framework for applied and computational category theory, written in the Julia language. Catlab provides a programming library and interactive interface for applications of category theory to scientific and engineering fields. It emphasizes monoidal categories due to their wide applicability but can support any categorical structure that is formalizable as a generalized algebraic theory. First and foremost, Catlab provides data structures, algorithms, and serialization for applied category theory. ... -
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Ebitengine
A dead simple 2D game engine for Go
Ebitengine (formerly known as Ebiten) is a lightweight, open-source 2D game engine built for the Go programming language. It is designed to be simple and easy to use, allowing developers to build games quickly with a clean and minimal API. Ebitengine supports cross-platform deployment, including desktop, mobile, web, and select console platforms. The engine provides essential features such as 2D graphics rendering, input handling, and audio playback. -
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Google Translate PHP
Free Google Translate API PHP Package
A simple and effective PHP library for translating text using Google Translate without needing an API key. It allows developers to integrate real-time translation features into their applications with minimal setup and supports multiple languages, leveraging Google Translate’s unofficial endpoint. -
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Easy-Vibe
Tutorial on Product Prototype, AI Capability Integration
Easy-Vibe is an open-source educational project designed to teach developers, product managers, and beginners how to build AI-powered applications using the emerging concept of “vibe coding,” a development approach that relies heavily on AI-assisted programming tools. The project provides a structured curriculum that guides learners from having no programming experience to building fully functional AI-integrated applications. Instead of focusing only on theoretical concepts, Easy-Vibe... -
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CodeGeeX
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
CodeGeeX is a large-scale multilingual code generation model with 13 billion parameters, trained on 850B tokens across more than 20 programming languages. Developed with MindSpore and later made PyTorch-compatible, it is capable of multilingual code generation, cross-lingual code translation, code completion, summarization, and explanation. It has been benchmarked on HumanEval-X, a multilingual program synthesis benchmark introduced alongside the model, and achieves state-of-the-art... -
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LazyLLM
Easiest and laziest way for building multi-agent LLMs applications
LazyLLM is an optimized, lightweight LLM server designed for easy and fast deployment of large language models. It is fully compatible with the OpenAI API specification, enabling developers to integrate their own models into applications that normally rely on OpenAI’s endpoints. LazyLLM emphasizes low resource usage and fast inference while supporting multiple models. -
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Ollamac
Mac app for Ollama
...The application focuses on delivering a lightweight and responsive experience that integrates seamlessly with the macOS ecosystem. Because the models run locally, the system enables private AI workflows without sending data to external APIs or cloud services. Ollamac supports different Ollama models and provides features designed to improve usability such as syntax highlighting and configurable settings. -
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API-for-Open-LLM
Openai style api for open large language models
API-for-Open-LLM is a lightweight API server designed for deploying and serving open large language models (LLMs), offering a simple way to integrate LLMs into applications. -
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UIkit
Lightweight modular front-end framework for developing web interfaces
A lightweight and modular front-end framework for developing fast and powerful web interfaces. UIkit will work on pretty much any modern browser. Using UIkit works best if you have a solid code editor, for example Sublime Text or Atom. To be even more efficient, we recommend that you install one of the autocomplete plugins for your favorite IDE or code editor. -
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MathModelAgent
An Agent Designed for Mathematical Modeling
...The platform automates the process of analyzing mathematical problems, constructing models, generating code for simulations or computations, and producing a complete research-style report. The project uses a multi-agent architecture where different specialized agents handle tasks such as problem interpretation, modeling design, programming implementation, and paper writing. Through integration with multiple large language models, the system can coordinate these components to generate structured modeling solutions and formatted research papers suitable for submission. The platform also includes a code execution environment that allows generated programs to be tested, corrected, and refined during the modeling workflow. -
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Plutus
The Plutus language implementation and tools
...It provides the core infrastructure for writing, testing, and deploying secure, deterministic smart contracts on the Cardano platform. Plutus includes a custom functional language (Plutus Core), a higher-level embedded DSL (Plutus Tx) for writing contracts in Haskell, and an off-chain infrastructure for managing interactions. It ensures strong correctness guarantees through formal verification and functional programming paradigms. -
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INim
Interactive Nim shell / REPL / Playground
INim is an interactive shell (REPL) for the Nim programming language, providing a platform for executing Nim code snippets in real-time. -
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Vavr
Object-functional library that runs with Java 8+
Vavr core is a functional library for Java. It helps to reduce the amount of code and to increase the robustness. A first step towards functional programming is to start thinking in immutable values. Vavr provides immutable collections and the necessary functions and control structures to operate on these values. The results are beautiful and just work. The Vavr binaries can be found on Maven Central. Beside with Gradle and Maven they work also standalone. The documentation gives an overview... -
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Basic Computer Games
An updated version of the classic "Basic Computer Games" book
...Blackjack, Bowling) in multiple languages, with the goal of making the historical games accessible and educational in safe modern environments. Definitely use the most recent versions and features of the target language, but also try to keep the code samples simple and explainable – the goal is to teach programming in the target language, not necessarily demonstrate the cleverest one-line tricks, or big system "enterprise" coding techniques designed for thousands of lines of code. -
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Valkey GLIDE
An open source Valkey client library that supports Valkey and Redis
Valkey General Language Independent Driver for the Enterprise (GLIDE), is an open-source Valkey client library. Valkey GLIDE is one of the official client libraries for Valkey, and it supports all Valkey commands. Valkey GLIDE supports Valkey 7.2 and above, and Redis open-source 6.2, 7.0 and 7.2. Application programmers use Valkey GLIDE to safely and reliably connect their applications to Valkey- and Redis OSS- compatible services. Valkey GLIDE is designed for reliability, optimized... -
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SQLite.swift
A type-safe, Swift-language layer over SQLite3
SQLite.swift provides compile-time confidence in SQL statement syntax and intent. SQLite.swift provides a pure-Swift interface, a type-safe, optional-aware SQL expression builder. It also provides a flexible, chainable, lazy-executing query layer. Automatically-typed data access. A lightweight, uncomplicated query and parameter binding interface. Developer-friendly error handling and debugging. Full-text search support, well-documented, extensively tested. SQLCipher support via CocoaPods.... -
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GPU Hot
Real-time NVIDIA GPU dashboard
GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. The dashboard collects and displays a wide range of performance metrics... -
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gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models
Gemma.cpp is a C++ implementation for running inference with Gemma models efficiently on CPUs and GPUs. Developed by Google, it allows running large language models (LLMs) like Gemma with minimal hardware, focusing on optimized performance and low latency. Gemma.cpp is intended for developers seeking to deploy LLMs in production environments without needing massive computational resources.
