jehaad1/Deepbox

The TypeScript Toolkit for AI & Numerical Computing

41
/ 100
Emerging

This is a comprehensive toolkit for developers building applications that need to process numerical data, perform statistical analysis, or implement machine learning models. It takes raw numbers, tabular data (like CSV files), or other structured data and can output calculated results, model predictions, statistical insights, or visualizations. Developers working with data science, financial modeling, or analytical applications will find this library useful for building robust, type-safe solutions.

Available on npm.

Use this if you are a TypeScript developer building an application that needs integrated numerical computing, data frame manipulation, or machine learning capabilities without external runtime dependencies.

Not ideal if you are an end-user looking for a no-code tool, or if you prefer to work in other programming languages like Python or R for your data science workflows.

data-science machine-learning-engineering quantitative-analysis statistical-modeling financial-modeling
No Dependents
Maintenance 10 / 25
Adoption 6 / 25
Maturity 20 / 25
Community 5 / 25

How are scores calculated?

Stars

15

Forks

1

Language

TypeScript

License

MIT

Last pushed

Feb 23, 2026

Commits (30d)

0

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