metersphere/metersphere

★ 13,180JavaAudience · developerComplexity · 4/5LicenseSetup · hard

Mindmap

mindmap
  root((repo))
    What it does
      API testing
      Test plan management
      Defect tracking
      Reports
    Tech Stack
      Java Spring Boot
      Vue.js frontend
      MySQL Redis Kafka
      Docker JMeter
    Use Cases
      Team API testing
      CI/CD integration
      AI test generation
    Audience
      QA teams
      Dev teams

mindmap root((repo)) What it does API testing Test plan management Defect tracking Reports Tech Stack Java Spring Boot Vue.js frontend MySQL Redis Kafka Docker JMeter Use Cases Team API testing CI/CD integration AI test generation Audience QA teams Dev teams

Click or tap to explore — scroll the page freely

Things people build with this

USE CASE 1

Run automated API tests and track defects across a team without each person needing their own local testing setup.

USE CASE 2

Build test plans with multiple test cases, assign them to team members, and generate pass/fail reports.

USE CASE 3

Use the built-in AI assistant to automatically generate test cases from API definitions.

USE CASE 4

Connect MeterSphere to your CI/CD pipeline using plugins to trigger tests on every code change.

Tech stack

JavaSpring BootVue.jsMySQLKafkaMinIORedisDocker

Getting it running

Difficulty · hard Time to first run · 1h+

Requires Docker plus multiple running services, MySQL, Kafka, MinIO, and Redis, easiest via the 1Panel app store installer.

Based on GPLv3 with extra rules: you cannot remove the logo or copyright notices, and anything built on top must also be released as open-source under GPLv3.

In plain English

MeterSphere is an open-source software testing platform built by Fit2Cloud, a Chinese software company. It is designed for teams who need to organize and run tests on software products, particularly API tests, and want tools that support multiple people working together rather than one tester working alone on their own machine. The project covers several parts of the testing process in one place. Teams can define test cases, build test plans, track defects when things fail, and produce reports when a test run finishes. For testing APIs (the connections between different parts of a software system), the platform lets you define what an API does, mock it for development, and run automated scenarios that check whether it behaves correctly. There is also an AI assistant built into the tool that can help generate test cases and API test definitions. MeterSphere uses a hierarchical structure of systems, organizations, and projects to let larger teams share work without stepping on each other. Plugins allow teams to connect MeterSphere with other tools in a software delivery pipeline. The platform can be extended with a plugin marketplace hosted by Fit2Cloud. Technically, the backend is written using Spring Boot (a Java framework) and the frontend uses Vue.js. It stores data in MySQL, uses Kafka for message passing, MinIO for file storage, and Redis for caching. Docker is used to run the whole system, and JMeter (a well-known load and API testing tool) handles the test execution engine. Installation options include a quick setup via the 1Panel app store or an offline package for production environments. The current version is V3, which comes in a community edition and an enterprise edition with more features. Older V1 and V2 versions are no longer maintained. The code is released under a license that is based on GPLv3 but adds extra rules: you cannot swap out the logo or copyright notices, and any products you build on top of MeterSphere must also be open-source under GPL V3.

Copy-paste prompts

Prompt 1

I have MeterSphere installed. Walk me through creating my first API test scenario that checks a REST endpoint returns the correct status code.

Prompt 2

Help me set up a MeterSphere test plan with multiple test cases, assign them to team members, and schedule automated runs.

Prompt 3

I want to mock an API in MeterSphere while development is still in progress. Show me the steps to set up an API mock.

Prompt 4

How do I use MeterSphere's AI assistant to auto-generate test cases for a REST API definition I've already imported?

Prompt 5

Explain how to install MeterSphere using Docker and connect it to an existing MySQL database.

Open on GitHub → Explain another repo

← metersphere on gitmyhub — every repo by this author, as a profile.

Verify against the repo before relying on details.