pointfreeco/swift-snapshot-testing

📸 Delightful Swift snapshot testing.

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Summary Information

Updated 60 minutes ago
Added to GitGenius on September 16th, 2026
Created on July 7th, 2017
Open Issues & Pull Requests: 220 (+0)
GitHub issues: Enabled
Number of forks: 683
Total Stargazers: 4,338 (+0)
Total Subscribers: 34 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 104.3 days
90th percentile: 365.6 days
Tracked items: 83

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How this project is maintained

98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 63% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 57
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 958 days
Stale 30+ days: 52
Stale 90+ days: 45

Recent activity

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

Top labels

  • enhancement (2)
  • documentation (1)

Detailed Description

swift-snapshot-testing is a snapshot testing library for Swift that enables developers to capture and compare application state across test runs.

Snapshot testing works by recording the output of your code—whether that is rendered UI, serialized data structures, or text representations—and then comparing future test runs against those recorded snapshots. This approach catches regressions and unintended changes without requiring developers to manually specify expected values. The library handles the mechanics of storing snapshots, performing comparisons, and reporting differences when snapshots diverge from current output.

Snapshot testing suits projects where you need to verify complex output that would be tedious or error-prone to assert manually, such as view hierarchies, formatted text, or generated documents. It works well for catching visual regressions and ensuring consistent serialization across refactors. Teams should adopt this tool when they want faster test writing for output-heavy code paths and when the cost of maintaining snapshot files is lower than maintaining equivalent manual assertions.

The project shows consistent maintenance with regular updates addressing issues and compatibility concerns. Pull requests receive timely review and feedback from maintainers. The codebase demonstrates attention to test coverage and code quality standards. Development activity indicates an active commitment to keeping the library functional across Swift ecosystem changes.