fastmath
A collection of mathematical and statistical functions wrapping JVM libraries.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is fastmath?
Fastmath provides a suite of mathematical and statistical computing functions by leveraging various JVM libraries, making it an efficient tool for developers working with numerical computations in Java-based environments.
Key differentiator
“Fastmath stands out as an efficient, open-source library that provides direct access to JVM libraries for mathematical and statistical computing, making it ideal for developers who need high-performance numerical functions without the complexity of external dependencies.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Fastmath is primarily designed for the JVM, limiting its utility in non-Java environments.
While efficient, the JVM's abstraction layer can introduce performance overhead compared to native code solutions.
The open-source nature of Fastmath is mitigated by a relatively small developer community and fewer third-party tools integrating with it.
Fit analysis
Who is it for?
✓ Best for
Java developers needing efficient mathematical and statistical functions for their applications.
Projects that require leveraging JVM libraries for numerical computations without the overhead of external dependencies.
✕ Not a fit for
Developers looking for a comprehensive machine learning framework with built-in models.
Teams requiring real-time streaming analytics capabilities.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with fastmath
Step-by-step setup guide with code examples and common gotchas.