How is this different from ESLint rules?
Most lint rules only flag obvious equality checks. Floating Point Validator analyzes expression context, variable origins, and math operations to rank true risk and provide practical epsilon suggestions.
Stop silent precision bugs before release
Scan TypeScript and JavaScript files for risky float equality checks, see severity-ranked findings, and get safe epsilon-based replacements with context-aware tolerance guidance.
Problem
`total === expected` can break when both values are mathematically equal but differ by a tiny binary rounding error.
Cost
Fintech reconciliation mismatches, ranking glitches in games, and scientific drift usually appear only after deployment.
Outcome
Engineers get concrete replacements using `Math.abs(a - b) <= epsilon` with explanations and severity scores.
Simple plan for teams that cannot afford floating-point regressions.
Pro
$12/mo
Most lint rules only flag obvious equality checks. Floating Point Validator analyzes expression context, variable origins, and math operations to rank true risk and provide practical epsilon suggestions.
The built-in GitHub scanner supports public repositories out of the box. Teams usually run the analyzer on uploaded files from CI artifacts for private code.
Start with 1e-8 for general engineering, 1e-6 for money-sensitive code, and 1e-10 for scientific workloads. You can tune this per analysis run.
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