hoppscotch open source analysis

Open-Source API Development Ecosystem • https://hoppscotch.io • Offline, On-Prem & Cloud • Web, Desktop & CLI • Open-Source Alternative to Postman, Insomnia

Project overview

⭐ 77134 · TypeScript · Last activity on GitHub: 2025-12-01

GitHub: https://github.com/hoppscotch/hoppscotch

Why it matters for engineering teams

Hoppscotch addresses the practical challenge of efficient API development and testing by providing a lightweight, open source tool for engineering teams. It supports a range of protocols including REST, GraphQL, and WebSocket, making it versatile for backend and frontend developers alike. The project is mature and reliable enough for production use, with options for offline, on-premises, and cloud deployments, ensuring flexibility in different environments. It suits roles such as backend engineers, API developers, and QA engineers who require a straightforward yet powerful API client. However, it may not be the right choice for teams needing extensive enterprise integrations or advanced collaboration features found in some commercial alternatives.

When to use this project

Hoppscotch is a strong choice when teams need a production ready solution for API testing and development that is open source and easy to self host. Teams should consider alternatives if they require deep integration with CI/CD pipelines or advanced team management capabilities.

Team fit and typical use cases

Backend engineers and API developers benefit most from Hoppscotch, using it to build, test, and debug APIs during development. QA engineers also rely on it for API testing and automation. It commonly appears in products where rapid API iteration and reliable testing are critical, including web services, microservices architectures, and single-page applications.

Topics and ecosystem

api api-client api-rest api-testing developer-tools graphql http http-client pwa rest rest-api spa testing testing-tools tools vue vuejs websocket

Activity and freshness

Latest commit on GitHub: 2025-12-01. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.