Herbie — Optimizes floating-point expressions for accuracy, preventing subtle numerical errors in calculations.

Analyzed by · Developer Tools · Numerical Computing · View on GitHub

What It Is

Herbie is like a specialized calculator for computer programs. When computers do math with decimal numbers (like 0.1 + 0.2), they sometimes get tiny, unexpected errors because they can't represent all decimals perfectly. Herbie looks at mathematical formulas in your code and rewrites them to make these errors as small as possible, without changing the overall result.

This matters because even tiny numerical errors can compound in complex calculations, leading to incorrect results in critical applications like scientific simulations, financial models, or engineering designs. Herbie helps engineers and scientists ensure their computations are as precise and reliable as possible, avoiding costly mistakes or misleading data.

Herbie GitHub repository card

License Verdict

Unclear License — Proceed with Caution — Commercial Use Ambiguous • Consult Legal Counsel

The repository states its license as 'Other', which means there isn't a standard, well-understood license like MIT or GPL. This ambiguity makes it difficult to determine commercial use rights, including whether you can modify, distribute, or sell products incorporating Herbie. It's crucial to contact the project maintainers or consult legal counsel before building a commercial product.

How to Use It

Herbie is primarily a Racket package. You'll need to install Racket first, then use its package manager to install Herbie. There's also a web interface you can run locally.

Prerequisites:

Estimated setup time: 10 minutes.

raco pkg install --auto herbie
racket -l herbie web

What I'd Build With This

Precision Math Sandbox for Developers (micro-saas)

A web application where developers, data scientists, or financial analysts can paste mathematical expressions or small code snippets. Herbie processes them, showing the original and optimized versions, along with a report on potential error reduction. Users pay for advanced reports, batch processing, or integration with common programming languages.

Effort: 1 Week Build Time · Target: Software Engineers, Data Scientists, Financial Modelers · Pricing: $29/month

Numerical Stability API for Scientific Applications (saas)

An API service that accepts mathematical expressions or FPCore definitions and returns Herbie's optimized versions. This allows teams building scientific simulations, CAD software, or financial trading platforms to integrate floating-point optimization directly into their build pipelines or runtime environments, ensuring numerical stability without manual intervention.

Effort: 3 Months Build Time · Target: FinTech, Scientific Research, Aerospace Engineering Firms · Pricing: $199/month + usage

Custom Floating-Point Optimization & Auditing (enterprise)

Offer specialized consulting services to large enterprises in sectors like aerospace, defense, or pharmaceutical research, where numerical accuracy is paramount. Use Herbie as a core tool to audit existing codebases for floating-point errors, identify critical sections, and implement optimized solutions. This would involve custom integrations and training for their internal teams.

Effort: 6 Months to Establish · Target: Aerospace, Defense, Pharmaceutical, High-Frequency Trading · Pricing: $10,000 - $50,000+ per project

Sai Pavan Gopularam's Take

Herbie solves a genuinely hard and niche problem: floating-point precision. If you're building software where tiny errors can cost millions – think financial trading or aerospace – this is a goldmine. I'd explore selling an API service for $199/month to a dozen such companies, generating $2,400/month per customer.

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