Noise Lang
A probabilistic programming language where every value is a probability distribution, allowing users to write random variables like ordinary variables and run Monte Carlo simulations.
A probabilistic programming language that treats every value as a probability distribution, enabling users to express random variables and run Monte Carlo simulations with simple syntax. It targets developers and data scientists who need to model uncertainty and perform statistical analysis. The language compiles to GPU and multi-core for high performance, and can run on native and web platforms.
Key features
- Expression-based syntax
- Random variables as ordinary variables
- GPU-compiled and massively parallel
- Monte Carlo simulation
- Built-in distributions (uniform, normal, poisson, bernoulli)
- Runs on native and web
- CLI and playground
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GTM channels
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ICP
- Software developers
- Data analytics teams
- Engineering teams