metersphere/metersphere

MeterSphere 是新一代的开源持续测试工具,内置 AI 助手,让软件测试工作更简单、更高效,不再成为持续交付的瓶颈。

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metersphere/metersphere has 13k+ stars and 2.5k+ forks on GitHub, is written in Java, and was last pushed on Sep 21, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 54 minutes ago
Added to GitGenius on September 4th, 2026
Created on February 3rd, 2020
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 2,843
Total Stargazers: 13,579 (+0)
Total Subscribers: 184 (+0)

Repository Insights (GitGenius)

Median issue/PR response: N/A
Mean response time: 29.8 hours
90th percentile: 0.0 hours
Tracked items: 1,085

Maintainer activity

7 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 11, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

Practically every issue opened in the past year has drawn a reply. 99% of issues opened in the past year have since been closed. Three people close 67% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 0 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • 状态:待用户反馈 (496)
  • 类型:缺陷 (211)
  • 状态:待处理 (116)
  • 类型:非问题 (74)
  • 状态:无法复现 (73)
  • 类型:优化 (50)
  • 暂不支持 (37)
  • 待 v3.0 讨论规划 (34)

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Detailed Description

MeterSphere is an open-source continuous testing platform that combines test management, API testing, and team collaboration capabilities with built-in AI assistance.

The tool addresses the challenge of managing software testing across distributed teams and complex testing workflows. It integrates API testing functionality inspired by both Postman's usability and JMeter's flexibility, offering interface debugging, mock services, scenario automation, and test reporting in a single platform. The project uses a hierarchical system-organization-project design to enable team collaboration beyond single-machine testing tools. A plugin system allows extension of testing capabilities and integration with DevOps pipelines.

Teams should consider MeterSphere if they need centralized test management spanning functional and API testing with team coordination features. The platform suits organizations moving away from isolated testing tools toward integrated continuous testing workflows. It is particularly relevant for teams seeking AI-assisted test case generation to improve efficiency.

The project maintains active development with regular updates and demonstrates sustained engineering effort across its codebase. The team has established a plugin marketplace ecosystem, indicating commitment to extensibility and community contribution. Documentation includes multiple deployment options and integration pathways, suggesting attention to operational flexibility and user onboarding.