cdipaolo/goml

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1614 stars · 133 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

goml is a machine learning library written entirely in Go, offering both traditional batch learning and online, stream-based learning via channels. It implements models like linear/logistic regression, softmax regression, perceptrons, and k-means clustering with comprehensive tests and documentation.

Use cases

• train machine learning models in Go
• online learning from streaming data over channels
• classify text or data with logistic or softmax regression
• cluster data points with k-means
• build a perceptron classifier in a Go application

When to choose

• you need pure-Go machine learning with no CGo or Python dependencies
• you want online/streaming model updates in a reactive Go application
• you need well-documented, simple classic ML models

When to avoid

• you need deep learning, GPU acceleration, or modern transformer models
• you need actively maintained software with recent releases
• you need a broad ecosystem of tools beyond classic ML algorithms

Facets

library · maturity maintenance

machine-learning machine-learning go cross-platform online-learning streaming-learning perceptron k-means linear-regression logistic-regression natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="cdipaolo/goml")