YCML
Machine Learning framework for Objective-C and Swift on OS X/iOS.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is YCML?
YCML is a Machine Learning framework designed specifically for developers working with Objective-C and Swift, enabling them to build ML models directly within their applications on macOS and iOS platforms.
Key differentiator
“YCML stands out as a specialized framework for Objective-C and Swift developers, offering native integration with Apple's ecosystem.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
YCML is specifically designed for Objective-C and Swift, which limits its usability for developers working in other languages.
The open-source nature of YCML may be undermined by a small user base, leading to fewer contributions, slower development cycles, and limited third-party support or plugins.
Developers working outside of the native macOS and iOS ecosystems may face challenges setting up and using YCML due to platform-specific dependencies.
The documentation for YCML is not comprehensive, making it difficult for new users to understand and utilize the framework effectively without extensive trial and error.
Fit analysis
Who is it for?
✓ Best for
Objective-C and Swift developers who need to integrate machine learning into their native Apple apps
Developers working exclusively on macOS or iOS platforms without the need for cross-platform support
✕ Not a fit for
Projects requiring cross-platform compatibility beyond macOS/iOS
Teams preferring cloud-based ML services over local development frameworks
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
Next step
Get Started with YCML
Step-by-step setup guide with code examples and common gotchas.