Canada.ca Website Quality Dashboard
Daily automated accessibility and performance scans of the top 100 most-visited Canada.ca URLs, powered by Google Lighthouse and axe-core.
This dashboard uses Canada.ca recent activity data (web traffic and top viewed content for the last 30 days) to identify the most-visited government URLs and measures their quality daily. Each scan covers:
- Accessibility — WCAG compliance measured by Lighthouse and axe-core (0–100, higher is better)
- Performance — Page load speed including Core Web Vitals (0–100, higher is better)
- Best Practices — Modern web development standards (0–100, higher is better)
- SEO — Search engine optimization fundamentals (0–100, higher is better)
Scans run daily. Click any report date below to see detailed per-URL findings, accessibility patterns, and trend analysis. View the source code on GitHub.
This is not a Government of Canada program. Results are automated signals, not legal compliance determinations.
Latest Scores (2026-04-08) #
60.87
76.97
73.13
82.75
Recent Reports #
- 2026-04-08 (cap-2026-04-08)
- 2026-04-07 (cap-2026-04-07)
- 2026-04-06 (cap-2026-04-06)
- 2026-04-05 (cap-2026-04-05)
- 2026-04-04 (cap-2026-04-04)
- 2026-04-03 (cap-2026-04-03)
- 2026-04-02 (cap-2026-04-02)
- 2026-04-01 (cap-2026-04-01)
- 2026-03-31 (cap-2026-03-31)
- 2026-03-30 (cap-2026-03-30)
About Daily CAP #
Daily CAP benchmarks the quality and accessibility of Canadian federal digital service entry points using automated scanning. Results are directional benchmark signals, not legal compliance determinations or manual accessibility audits.
- Daily automated scans with Lighthouse
- Bilingual (English/French) analysis and parity detection
- Performance, accessibility, and SEO metrics
- Accessibility statement detection
- Service-pattern and directional impact analysis
- Canadian-focused data sources (recent activity, top tasks, curated endpoints)
Report Archive #
Reports older than 14 days are available as downloadable zip archives containing the full HTML report, JSON data, and CSV findings.