Search Results for "mongo-express"
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140 projects for "mongo-express" with 1 filter applied:
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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KMongo
[deprecated] KMongo - a Kotlin toolkit for Mongo
KMongo was created in 2016, when there was no official MongoDB Kotlin driver. KMongo features are available via Kotlin extensions - you use transparently the core MongoDB java driver API (both sync and reactive streams (ie async) drivers are supported). -
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tinyhttp
0-legacy, tiny & fast web framework
tinyhttp is a modern Express-like web framework written in TypeScript and compiled to native ESM, that uses a bare minimum amount of dependencies trying to avoid legacy hell. With depending only on 6 modules (5 of which are tinyhttp's), it gives you routing, req / res extensions, eTag generation and more. All middleware that was created for Express, works flawlessly with tinyhttp, including typings. -
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ExpressJS.com
The Express.js Website
This repository contains the source for the Express web site and documentation, the canonical reference for developers using the Express framework. It organizes material into API reference, getting-started guides, best practices, and topic-focused explanations such as routing, middleware, error handling, templating, and performance. Versioned docs help readers match API behavior to the framework version they’re running, reducing confusion during upgrades. -
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Complete Node Bootcamp
Starter files, final projects and FAQ for my Complete Node.js Bootcamp
Complete Node Bootcamp is the official course-material repository for Jonas Schmedtmann’s Complete Node.js, Express, and MongoDB Bootcamp. It contains starter files, finished project files, and course support material for building backend applications with JavaScript. The repository is centered on practical server-side development, including Node.js fundamentals, Express APIs, MongoDB data modeling, authentication, security, payments, deployment, and real-world backend architecture. ... -
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cls-rtracer
CLS-based request id generation for Express, Fastify, Koa and Hapi
Express & Koa middlewares and Fastify & Hapi plugins for CLS-based request ID generation, batteries included. An out-of-the-box solution for adding request IDs into your logs. Check out this blog post that describes the rationale behind cls-rtracer. Automatically generates a UUID V1 value as the id for each request and stores it in AsyncLocalStorage. -
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Ts.ED
Ts.ED is a Node.js and TypeScript framework on top of Express
Ts.ED is a Node.js and TypeScript Framework on top of Express/Koa.js. Ts.ED is a framework on top of Express/Koa to write your application with TypeScript (or ES6). It provides a lot of decorators and guidelines to make your code more readable and less error-prone. Create your Rest API easily and create different version paths of your API compliant with OpenSpec and JsonSchema. Don't waste your time with configuration, the server is preconfigured to start quickly. -
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STEP (ISO 10303) development environment which supports the validation of STEP data populations via EXPRESS (ISO 10303-11) schemata and the transformation of STEP data populations from one schema to another via EXPRESS-X (ISO 10303-14) schemata.
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graphql-ez
Easy, feature complete, and Plugin-Based Envelop GraphQL APIs
...This library is based on Envelop, a powerful Plugin-Based GraphQL Execution orchestrator that allows developers to build, share and collaborate on GraphQL-related plugins while filling the missing pieces in GraphQL implementations. With integrations for Fastify, Express, Hapi, Koa, Next.js API Routes, Node.js HTTP, Cloudflare Workers, SvelteKit and Vercel. -
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Realtime Chat Application
Build and deploy a real time chat application
This full-stack tutorial project shows how to build and deploy a real-time chat app using React on the client and Node/Express with Socket.io on the server. It covers the mechanics of establishing WebSocket connections, broadcasting and receiving messages, and maintaining active user rooms. The repository includes scripts and instructions to spin up both client and server quickly so you can experiment locally. It illustrates common patterns like event-driven messaging, joining/leaving rooms, and rendering live message streams in the UI. ... -
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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Memories
Build a full stack MERN application
Project MERN Memories is a full-stack application built as a learning tutorial, using the MERN stack: React on the front end, Node.js and Express on the back end, and MongoDB for data persistence. The app is called “Memories” and allows users to post interesting events from their lives (memories), providing a simple social media–style interface and back-end API to support create, read, update, delete of posts. The repository is tied to a video tutorial series that covers the project from start to finish, ideal for developers learning full-stack workflows. ... -
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Node.js Best Practices
The Node.js best practices list (July 2024)
...Each guideline is phrased as a practical recommendation with motivation and trade-offs, not just a rule, which makes it easier to reach team consensus. The content aims to be technology-agnostic within the Node ecosystem, providing patterns that work whether you’re using Express, Fastify, Nest, or custom frameworks. It is designed for real-world constraints: production deployment, observability, CI/CD, containerization, and cross-functional collaboration. Because it’s continuously updated, the guide helps keep engineering standards aligned with evolving Node versions and tooling, turning tribal knowledge into a shared, documented baseline for teams. -
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iamjs
Your complete Access Control Library with End-to-end typesafety
iamjs is a fully-featured and typesafe library that makes authorization easy. It is designed to be used in both Node.js and browser environments, and currently supports popular frameworks like express, koa, next.js, and react. -
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Burr
Build applications that make decisions. Chatbots, agents, simulations
Burr makes it easy to develop applications that make decisions (chatbots, agents, simulations, etc...) from simple python building blocks. Burr works well for any application that uses LLMs and can integrate with any of your favorite frameworks. Burr includes a UI that can track/monitor/trace your system in real-time, along with pluggable persisters (e.g. for memory) to save & load application state. -
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EasyVoice
Open source text-to-speech tool, supports extra-long text
...It offers streaming playback so audio starts almost immediately, even for very long inputs, and automatically generates subtitle files suitable for video production or translation workflows. Under the hood, easyVoice uses a modern stack with Vue 3 and Element Plus on the front end, Node.js and Express on the back end, and TTS engines such as Microsoft Azure TTS and OpenAI-compatible APIs, orchestrated through ffmpeg. -
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koa-better-error-handler
A better error-handler for Lad and Koa. Makes `ctx.throw` awesome
Lad is the best Node.js framework. Made by a former Express TC and Koa team member. A better error-handler for Lad and Koa. Makes ctx.throw awesome (best used with koa-404-handler) Detects common programmer mistakes by detecting errors of TypeError, SyntaxError, ReferenceError, RangeError, URIError, and EvalError and yields generic "Internal Server Error" (only applies to production mode). -
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Apache Flink
Stream processing framework with powerful stream
...Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. A rich connector ecosystem integrates with systems like Kafka, Kinesis, filesystems, JDBC sources/sinks, and object stores. Deployments span Kubernetes, YARN, Mesos, and standalone clusters, and operational features such as savepoints, state backends, and metrics make long-running jobs manageable in production. -
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OpenAI Swarm
Educational framework exploring multi-agent orchestration
...It accomplishes this through two primitive abstractions; Agents and handoffs. An Agent encompasses instructions and tools, and can at any point choose to hand off a conversation to another Agent. These primitives are powerful enough to express rich dynamics between tools and networks of agents, allowing you to build scalable, real-world solutions while avoiding a steep learning curve. Approaches similar to Swarm are best suited for situations dealing with a large number of independent capabilities and instructions. Swarm runs (almost) entirely on the client and, much like the Chat Completions API, does not store state between calls. -
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Universal Commerce Protocol
Specification and documentation for the Universal Commerce Protocol
UCP (Universal Commerce Protocol) is an open standard intended to make commerce integrations interoperable across platforms, agents, businesses, and payment providers without bespoke, one-off connector builds. It defines a shared “common language” and functional primitives so that different systems can express commerce actions and state transitions in a consistent way. The protocol is designed around the realities of existing retail infrastructure, aiming to fit into current operational models while enabling more automated, agent-driven buying experiences. By standardizing how discovery, purchase, and post-purchase steps are represented, it helps reduce integration complexity and makes it easier for multiple parties to participate in the same end-to-end flow. ... -
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GenAI Processors
GenAI Processors is a lightweight Python library
...Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. The library offers built-in processors for classic turn-based Gemini calls as well as Live API streaming, so you can mix “batch” and real-time interactions in the same graph. It leans on Python’s asyncio to coordinate concurrency, handle network I/O, and juggle background compute threads without blocking. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
...The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. Because the storage layer (3FS) is optimized for random access and high throughput, smallpond can shuffle data, repartition, and manage intermediate results across nodes. -
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React Native AI
Full stack framework for building cross-platform mobile AI apps
...It supports real-time streaming responses from multiple AI providers and enables developers to build chat interfaces, AI-driven image generation tools, and natural language features within mobile apps. The framework includes backend components such as an Express-based server proxy that handles authentication and API communication with model providers. Developers can also integrate multiple models and services through a unified interface, making it easier to experiment with different AI capabilities. Built-in theming and UI templates allow developers to quickly create polished interfaces for AI chat and generative features. -
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LOTUS
AI-Powered Data Processing: Use LOTUS to process all of your datasets
LOTUS is an open-source framework and query engine designed to enable efficient processing of structured and unstructured datasets using large language models. The system provides a declarative programming model that allows developers to express complex AI data operations using high-level commands rather than manually orchestrating model calls. It offers a Python interface with a Pandas-like API, making it familiar for data scientists and engineers already working with data analysis libraries. The core concept of the framework is the use of semantic operators, which extend traditional relational database operations to support reasoning over text and other unstructured data. ... -
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MetricFlow
MetricFlow allows you to define, build, and maintain metrics in code
MetricFlow is an open-source semantic layer engine designed to help organizations define, manage, and query business metrics in a consistent, governed way. It works alongside a data stack—typically built with dbt—and allows you to express metrics as YAML‐based definitions tied to semantic models and dimension tables, rather than embedding logic ad-hoc across many dashboards or scripts. When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized, warehouse-specific SQL to compute that metric, handling joins, filters, time grains, offsets, and other complexities under the hood. ... -
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Rename Express (the tool extension)
A fast filename renaming tool
A powerful filename renaming tool capable of efficiently modifying, lowercasing, or uppercasing large quantities of files. This quick and robust utility is written in C and supports extended regular expressions for searching and substituting pattern strings in filenames. It is compatible with both Linux and Windows operating systems. -
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OWASP Juice Shop
Probably the most modern and sophisticated insecure web application
...Juice Shop encompasses vulnerabilities from the entire OWASP Top Ten along with many other security flaws found in real-world applications! Juice Shop is written in Node.js, Express and Angular. It was the first application written entirely in JavaScript listed in the OWASP VWA Directory. The application contains a vast number of hacking challenges of varying difficulty where the user is supposed to exploit the underlying vulnerabilities. The hacking progress is tracked on a score board. Finding this score board is actually one of the (easy) challenges! ...