# AvdLee/Diagnostics

Allow users to easily share Diagnostics with your support team to improve the flow of fixing bugs.

Repository: https://github.com/AvdLee/Diagnostics
Canonical: https://ross.abutalabs.com/products/avdlee-diagnostics
Language: Swift
License: MIT
License Family: permissive
Topics: swift
Last push: 2026-08-14T12:28:18+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 86, longevity 100
- inputs: {"age_days": 2466, "days_push": 19, "days_rel": 19, "gap_med": 37, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1305, forks 68 (observed 2026-08-28T04:04:18.570262+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: logging, monitoring, developer-tools
- domain: mobile-development, developer-tools
- platform: -
- tags: diagnostics-report, swift-library, bug-reporting, support-tools, html-report, user-feedback, ios, macos, swift, mobile

## Member repositories
- AvdLee/Diagnostics (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:18.570262+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:51:00.112309+00:00, confidence not recorded.
  - readme: https://github.com/AvdLee/Diagnostics (fetched 2026-08-28T04:04:18.570262+00:00, sha 9514a1336239)
- Data as of 2026-08-30T08:39:29.467469+00:00.