Search Results for "building" - Page 13
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Showing 4031 open source projects for "building"
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Squel
SQL query string builder for Javascript
Squel is a JavaScript library for fluent and safe SQL query string building, usable both in Node.js environments and in the browser. Works in Node.js and in the browser. Supports the standard SQL queries: SELECT, UPDATE, INSERT, and DELETE. Supports non-standard commands for popular DB engines such as MySQL. Supports parameterized queries for safe value escaping. It can be customized to build any query or command of your choosing. -
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Docker Practice
Learn and understand Docker&Container technologies
Docker Practice is a curated GitHub repo by Yeasy that collects Docker hands-on exercises, tutorials, and examples aimed at helping users learn image building, networking, volumes, and container orchestration in real scenarios. -
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BitTorrent DHT
Simple, robust, BitTorrent DHT implementation
bittorrent-dht is a Node.js implementation of the BitTorrent Mainline Distributed Hash Table (DHT) protocol, enabling decentralized peer discovery for BitTorrent clients. This module allows users to announce and lookup peers for specific torrents without the need for trackers. It’s lightweight, fast, and well-suited for building custom torrent clients, browser-based peers, or decentralized apps. This project powers part of WebTorrent and is maintained with performance and minimalism in mind. -
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Bolna
Conversational voice AI agents
Bolna is an end-to-end open-source platform for building conversational voice AI agents, enabling developers to create voice-first conversational assistants efficiently. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Bee Agent Framework
The framework for building scalable agentic applications
Open-source framework for building, deploying, and serving powerful agentic workflows at scale. The Bee Agent Framework makes it easy to build scalable agent-based workflows with your model of choice. The framework is been designed to perform robustly with IBM Granite and Llama 3.x models, and we’re actively working on optimizing its performance with other popular LLMs. -
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. -
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Hugo
The world’s fastest framework for building websites
Hugo is a popular, fast and flexible open source static site generator written in Go. It’s designed for speed and flexibility, while also being very easy to use. Hugo has the amazing ability to render a typical, moderately-sized website in just a fraction of a second. It takes Hugo around 1 millisecond to render each piece of content, making it the fastest tool of its kind. Hugo supports unlimited content types, and ships with pre-made templates to make SEO, analytics and many other... -
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kagent
Kubernetes native framework for building AI agents
Kagent is a Kubernetes-native framework for building, deploying, and operating AI agents as first-class cloud-native workloads. It models core agent concepts declaratively using Kubernetes custom resources, so teams can manage agents similarly to other platform components via YAML, controllers, and standard cluster workflows. In kagent’s design, an “Agent” represents a system prompt plus a set of tools and other agents, along with an LLM configuration, making the agent definition portable and repeatable across environments. ... -
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CapRover
Scalable PaaS (automated Docker+nginx), aka Heroku on Steroids
...It's blazingly fast and very robust as it uses Docker, Nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface. For a developer who does not like spending hours and days setting up a server, building tools, sending code to the server, building it, getting an SSL certificate, installing it, update nginx over and over again. Deploy apps in your own space (Node js, PHP, Python, Java literally any language!) Simple interface for many docker operations, exposing container ports to host, setting up persistent directories, instance count and etc. ... -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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SwiftNIO
Network application framework for protocol servers and clients
SwiftNIO is a cross-platform asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. Low-level protocol implementations are often a collection of ChannelHandlers that implement a protocol but still require the user to have a good understanding of SwiftNIO. Often, low-level protocol implementations will then be wrapped in high-level libraries with a nicer, more user-friendly API. High-level implementations are... -
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Dynamiq
An orchestration framework for agentic AI and LLM applications
Dynamiq is an open-source orchestration framework designed to streamline the development of generative AI applications that rely on large language models and autonomous agents. The framework focuses on simplifying the creation of complex AI workflows that involve multiple agents, retrieval systems, and reasoning steps. Instead of building each component manually, developers can use Dynamiq’s structured APIs and modular architecture to connect language models, vector databases, and external tools into cohesive pipelines. The framework supports the creation of multi-agent systems where different AI agents collaborate to solve tasks such as information retrieval, document analysis, or automated decision making. ... -
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E2B Desktop Sandbox
E2B Desktop Sandbox for LLMs. E2B Sandbox
...Within a sandbox, developers can launch applications like browsers, editors, or other software that an AI agent may need to interact with. This approach is particularly useful for building AI agents capable of interacting with graphical environments or performing tasks such as browsing, testing software, or automating workflows. -
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Generative AI Use Cases (GenU)
Application implementation with business use cases
AWS Generative AI Use Cases is an open-source repository developed by AWS that provides practical examples and reference implementations for building applications powered by generative artificial intelligence. The project collects a wide range of real-world scenarios that demonstrate how organizations can use large language models and generative AI services within cloud-based architectures. Each example typically includes infrastructure templates, backend services, and application code that show how to integrate generative AI capabilities with other AWS services. ... -
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Lemon AI
Full-stack Open-source Self-Evolving General AI Agent
LemonAI is an open-source full-stack framework for building autonomous AI agents capable of performing complex tasks such as research, programming, data analysis, and document processing. The platform is designed to run primarily on local infrastructure, providing a privacy-focused alternative to cloud-dependent agent platforms. It integrates with local large language models through tools such as Ollama, vLLM, and other model runtimes while also allowing optional connections to external cloud models. ... -
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PyTorch-Tutorial-2nd
CV, NLP, LLM project applications, and advanced engineering deployment
...Each tutorial focuses on step-by-step implementation so learners can understand how theoretical concepts translate into working code. The materials are designed for both beginners and intermediate developers who want to gain practical experience building deep learning models using PyTorch. -
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nw_wrld
nw_wrld is an event-driven sequencer for triggering visuals
nw_wrld is a procedurally generated world-building engine tailored for game developers and interactive storytellers who want to craft rich, random yet coherent environments without hand-crafting every detail. It uses noise functions and modular terrain algorithms to generate expansive maps, diverse biomes, and layered features like rivers, mountain ranges, forests, and resource nodes. -
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BSON parser
BSON Parser for node and browser
...Value types such as ObjectId, Binary, UTC datetime, Decimal128, and Long are provided as first-class objects, enabling precise representation of data that would otherwise be lossy or awkward in plain JSON. js-bson is designed for performance, with optimized algorithms for reading and writing binary data, minimizing overhead in database operations. Because it’s a foundational building block for MongoDB drivers in JavaScript, the library ensures consistency and compatibility between client applications and the MongoDB server. -
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Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. -
19
rCore-Tutorial-Book-v3
A book about how to write OS kernels in Rust easily
rCore-Tutorial-Book-v3 is the official book for the third version of the rCore OS tutorial series, a comprehensive educational resource for learning operating system development using the Rust programming language. Targeted at the RISC-V architecture, this tutorial guides learners step-by-step through building a minimal, safe, and modern OS kernel from scratch. It is written in Markdown and powered by mdBook, making it easy to read, navigate, and contribute to. The book combines theoretical explanations with practical exercises, allowing students and enthusiasts to understand core OS concepts like bootstrapping, memory management, and process scheduling through hands-on implementation. -
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Airframe
Essential Building Blocks for Scala
Airframe is an essential building block for developing applications in Scala, including logging, object serialization using JSON or MessagePack, dependency injection, HTTP server/client with RPC support, functional testing with AirSpec, etc. Airframe RPC supports seamless integration of servers and clients using Scala as RPC interfaces. AirSpec is a simple unit testing framework for Scala and Scala.js. -
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Marvin
A batteries-included library for building AI-powered software
Meet Marvin: a batteries-included library for building AI-powered software. Marvin's job is to integrate AI directly into your codebase by making it look and feel like any other function. Marvin introduces a new concept called AI Functions. These functions differ from conventional ones in that they don’t rely on source code, but instead generate their outputs on-demand through AI. With AI functions, you don't have to write complex code for tasks like extracting entities from web pages, scoring sentiment, or categorizing items in your database. ... -
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Selenium-python Helium
Selenium-python but lighter: Helium is the best Python library
Under the hood, Helium forwards each call to Selenium. The difference is that Helium's API is much more high-level. In Selenium, you need to use HTML IDs, XPaths and CSS selectors to identify web page elements. Helium on the other hand lets you refer to elements by user-visible labels. As a result, Helium scripts are typically 30-50% shorter than similar Selenium scripts. What's more, they are easier to read and more stable with respect to changes in the underlying web page. Selenium-python... -
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Paseo
Orchestrate coding agents remotely from your phone, desktop and CLI
Paseo is a modern development platform designed to streamline the creation and management of web applications through a focus on simplicity, performance, and developer experience. It provides a structured environment for building applications with minimal configuration, allowing developers to focus on core functionality rather than setup complexity. The platform likely includes tools for routing, state management, and component organization, enabling rapid development of scalable applications. It emphasizes clean architecture and modular design, making it easier to maintain and extend projects over time. ... -
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Wasp
A programming language that understands what a web app is
Wasp (Web Application Specification Language) is a declarative DSL (domain-specific language) for developing, building and deploying modern full-stack web apps with less code. Concepts such as app, page, user, login, frontend, production, etc. are baked into the language, bringing a new level of expressiveness and allowing you to get more work done with fewer lines of code. While describing high-level features with Wasp, you still write the rest of your logic in your favorite technologies (currently React, NodeJS, Prisma). ... -
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GLM-5
From Vibe Coding to Agentic Engineering
GLM-5 is a next-generation open-source large language model (LLM) developed by the Z .ai team under the zai-org organization that pushes the boundaries of reasoning, coding, and long-horizon agentic intelligence. Building on earlier GLM series models, GLM-5 dramatically scales the parameter count (to roughly 744 billion) and expands pre-training data to significantly improve performance on complex tasks such as multi-step reasoning, software engineering workflows, and agent orchestration compared to its predecessors like GLM-4.5. It incorporates innovations like DeepSeek Sparse Attention (DSA) to preserve massive context windows while reducing deployment costs and supporting long context processing, which is crucial for detailed plans and agent tasks.