nodejs-polars VS scikit.js

Compare nodejs-polars vs scikit.js and see what are their differences.

scikit.js

JavaScript package for predictive data analysis and machine learning (by javascriptdata)
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nodejs-polars scikit.js
2 1
313 125
7.0% 3.2%
8.4 10.0
12 days ago over 1 year ago
TypeScript TypeScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nodejs-polars

Posts with mentions or reviews of nodejs-polars. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-17.

scikit.js

Posts with mentions or reviews of scikit.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-17.

What are some alternatives?

When comparing nodejs-polars and scikit.js you can also consider the following projects:

ibis - the portable Python dataframe library

arquero - Query processing and transformation of array-backed data tables.

falcon - Brushing and linking for big data

proposal-async-iterator-helpers - Methods for working with async iterators in ECMAScript

proposal-array-from-async - Draft specification for a proposed Array.fromAsync method in JavaScript.

proposal-arraybuffer-base64 - TC39 proposal for Uint8Array<->base64/hex

parquet-wasm - Rust-based WebAssembly bindings to read and write Apache Parquet data

proposal-zero-copy-arraybuffer-li

proposal-resizablearraybuffer - Proposal for resizable array buffers

functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

streams - Streams Standard

WebGL-Fluid-Simulation - Play with fluids in your browser (works even on mobile)