realm/swiftcov — explained in plain English
Analysis updated 2026-07-21 · repo last pushed 2017-08-10
Verify that tests exercise specific error-handling branches in a financial calculation framework.
Generate coverage reports to upload to continuous integration coverage tracking services.
Identify gaps in test coverage for an iOS or OS X framework project.
Study historical approaches to Swift code coverage before native Xcode support existed.
| realm/swiftcov | hehehai/voxt | kageroumado/phosphene | |
|---|---|---|---|
| Stars | 560 | 615 | 495 |
| Language | Swift | Swift | Swift |
| Last pushed | 2017-08-10 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | hard | easy | hard |
| Complexity | 3/5 | 1/5 | 4/5 |
| Audience | developer | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Obsolete and unmaintained, requires Xcode with Swift 1-era tooling, LLDB debugger integration, and a framework project running on the simulator.
SwiftCov is a tool that tells you which parts of your Swift code are actually being tested. When you write tests for an app or a framework, you want to know if those tests are touching every line of your code or if there are gaps. This tool runs your existing tests and generates a report showing exactly which lines of code were executed and which were skipped, so you can see where your test coverage is missing. At a high level, it works by attaching a debugger to your test run. It places invisible markers on every line of your source code, then runs your tests while counting how many times each marker gets hit. After the tests finish, it turns that hit-count data into standard coverage files that you can view or upload to popular coverage tracking services. There is an optional threshold setting to limit how many hits it records per line, which exists purely for speed, counting every single hit on a frequently executed loop can slow things down considerably. This would be used by Swift developers and teams building iOS or OS X frameworks who want measurable proof that their tests are thorough. For example, if you have a framework that handles financial calculations, you could run this tool to confirm that your tests actually exercise the branch of code that handles a specific error case, rather than silently skipping it. One important thing to note: this project is explicitly marked as obsolete. Since Swift 2, Apple has built native code coverage support directly into the language and Xcode, so this tool is no longer maintained. It also comes with notable limitations, it only works for framework projects (not standalone apps), only runs on the simulator or OS X (not physical iOS devices), and only integrates with certain continuous integration services. It is mostly of historical interest now.
A now-obsolete tool that measured which lines of Swift code your tests actually exercised by attaching a debugger during test runs. Apple built this capability natively into Swift 2 and Xcode, so it is no longer maintained.
Mainly Swift. The stack also includes Swift, LLDB, Xcode.
Dormant — no commits in 2+ years (last push 2017-08-10).
No license information is provided in the explanation, so usage rights are unknown.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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