Oml
General statistics and machine learning library for diverse applications.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Oml?
Oml is a comprehensive general statistics and machine learning library designed to support a wide range of data analysis tasks. It offers robust tools for developers and data scientists looking to integrate advanced analytics into their projects.
Key differentiator
“Oml stands out as an open-source, flexible library offering both statistical and machine learning functionalities in a single package, making it ideal for developers who need to integrate comprehensive data analysis capabilities into their applications.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Advanced statistical methods and machine learning algorithms lack detailed usage examples
Internal benchmarks show significant slowdowns when processing datasets larger than 1GB
Fit analysis
Who is it for?
✓ Best for
Developers working on data-intensive applications requiring statistical and ML capabilities
Data scientists looking for a flexible library to perform complex analyses
✕ Not a fit for
Projects that require real-time processing or streaming analytics (Oml is more suited for batch processing)
Applications needing specialized deep learning frameworks with GPU support
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
Alternatives
Works well with
Next step
Get Started with Oml
Step-by-step setup guide with code examples and common gotchas.