Stats

Implera by the numbers

What Implera actually detects, and how teams are using it. Numbers pulled directly from the analysis engine and the live database.

Detection coverage

Exact counts of what the deterministic analysis engine looks for on every run. Each figure is a real detection rule shipping today.

Secret patterns

AWS keys, GitHub tokens, Stripe keys, database URLs, private keys and others.

Dangerous API patterns

SQL injection, XSS, CORS misconfig, eval, insecure randomness and more, each mapped to a CWE.

WCAG accessibility checks

Missing alt text, unlabelled inputs, removed focus outlines, heading hierarchy and others.

Async anti-pattern detectors

Sequential awaits, N+1 loops and other patterns that slow code down for no reason.

Heavy-import rules

Flags bundle-heavy libraries (moment, lodash, chalk in the browser) with lighter alternatives.

Languages covered

TypeScript, JavaScript, Python, Go, Rust, Ruby, Java, Kotlin, Swift and more.

Scoring domains

Security, testing, architecture, performance, dependencies, accessibility, documentation.

AI specialist reviewers

One reviewer per domain, each reading real code context to add findings and explanations.

Pulled from the live database at build time. Numbers refresh on each deploy.

Projects connected

116

Analyses completed

1,867

Findings surfaced

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