AvdLee/Diagnostics
Allow users to easily share Diagnostics with your support team to improve the flow of fixing bugs. observed · 2026-08-28
Health v2 · maintenance only
94/100
- Activity 97
- Release rhythm 86
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 37
- age_days: 2466
- days_rel: 19
- days_push: 19
- n_releases_24m: 4
Adoption not part of the score
1305 stars · 68 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Swift library for iOS, iPadOS, and macOS that generates single-file HTML or JSON diagnostics reports containing app metadata, system logs, and smart insights. Reports can be attached to MFMailComposeViewController so users can easily share them with a support team.
Use cases
- let users send diagnostic reports to support when reporting bugs
- collect app and system logs for debugging user issues
- generate agent-friendly HTML diagnostics reports
- filter sensitive data out of support reports
- add custom logs and smart insights to bug reports
When to avoid
- you need crash reporting or analytics rather than on-demand diagnostics
- your app targets platforms outside Apple's ecosystem
- you need remote telemetry collection instead of user-initiated reports
Facets
library · maturity active
logging monitoring developer-tools mobile-development developer-tools diagnostics-report swift-library bug-reporting support-tools html-report user-feedback ios macos swift mobile
1 source
- readme: https://github.com/AvdLee/Diagnostics · fetched 2026-08-28 · 9514a1336239
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| AvdLee/Diagnostics | main | 94 |
For agents
markdown · JSON · MCP: product_card(name="AvdLee/Diagnostics")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem