ndarray
Multidimensional arrays for JavaScript.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is ndarray?
ndarray provides multidimensional array capabilities in JavaScript, making it easier to handle complex data structures and perform operations on them. It is particularly useful for scientific computing and data manipulation tasks.
Key differentiator
“ndarray stands out by providing a robust and efficient way to handle multidimensional arrays in JavaScript, making it an essential tool for scientific computing and data-intensive 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
Fewer third-party libraries and tools are built around ndarray than numpy in Python
JavaScript's memory management can lead to performance issues with extremely large arrays
Fit analysis
Who is it for?
✓ Best for
Developers working on scientific projects that require efficient handling of multidimensional arrays.
Projects needing to perform complex data manipulations and operations within a JavaScript environment.
✕ Not a fit for
Applications requiring real-time streaming or high-frequency updates, as ndarray is optimized for batch processing.
Use cases where the primary focus is on text-based natural language processing tasks without significant array manipulation needs.
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
Works well with
Next step
Get Started with ndarray
Step-by-step setup guide with code examples and common gotchas.