ndarray
Multidimensional arrays for JavaScript.
- Status
- Generally available
- Last checked
- Checked · Oct 16, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
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.
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.
When it fits — and when it doesn’t
A good fit 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.
Look elsewhere if
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.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited ecosystem integrations compared to numpy
Fewer third-party libraries and tools are built around ndarray than numpy in Python
- 02
Performance may degrade with very large datasets due to JavaScript limitations
JavaScript's memory management can lead to performance issues with extremely large arrays
What it does well
Supports multidimensional arrays
Efficient memory usage for large datasets
Flexible indexing and slicing capabilities
Compatibility with other scientific computing libraries
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up ndarray
Setup steps, common gotchas and what to check after 30 days.
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