arquero VS nodejs-polars

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

arquero

Query processing and transformation of array-backed data tables. (by uwdata)
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arquero nodejs-polars
8 2
1,198 316
2.3% 7.9%
4.6 8.4
about 2 months ago 18 days ago
JavaScript TypeScript
BSD 3-clause "New" or "Revised" 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.

arquero

Posts with mentions or reviews of arquero. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.
  • Show HN: Matrices – explore, visualize, and share large datasets
    2 projects | news.ycombinator.com | 7 Dec 2023
    Hey HN, I'm excited to share a new side project I've been working on.

    The product is called Matrices. You can check it out here: https://matrices.com/.

    With Matrices, you can *explore*, *visualize*, and *share* large (100k rows) datasets–all without code. Filter data down to just what you want, visualize it with built-in charts, and share your results with one click.

    You can use it today (no login or waitlist or anything). Just copy and paste your data from a google sheet or CSV file.

    It's hard to describe the feeling of "gliding over data" you get with Matrices, so I'd rather *show* you how it works instead. This 75s video will give you a sense of how it works: https://www.youtube.com/watch?v=Rrh9_I3Ux8E.

    Data is stored locally in your browser until you publish it, though small sample does go to the OpenAI APIs for AI-assisted features.

    I started building Matrices because I wanted a tool that made it easy to explore new datasets. When I'm first trying to dig into data, I'll have one question... that leads to another... that will invariably lead to five more questions. It's sort of a fractal process, and I couldn't find many good options that were fast, responsive, and visual.

    I figured this crowd would be interested in tech stack as well, it's using arquero [1] bindings over apache arrow for in-memory analytics, and visx [2] for visualizations. I'd like to add duckdb-wasm support at some point to open up a wider set of databases. Data is serialized as parquet to save a bit on bandwidth + storage.

    Give it a spin, and let me know what you think. This is my first 'serious frontend project' so I appreciate any and all feedback and bug reports. Feel free to comment here (I'll be around most of the day), or shoot me a note: [email protected]

    [1]: https://uwdata.github.io/arquero/

  • Goodbye, Node.js Buffer
    15 projects | news.ycombinator.com | 24 Oct 2023
    https://github.com/uwdata/arquero
  • Arquero is a JavaScript library for query processing and transformation of array-backed data tables
    1 project | /r/programming | 24 Jul 2022
  • Arquero – data tables wrangling in JavaScript
    1 project | news.ycombinator.com | 22 Jul 2022
  • Hal9: Data Science with JavaScript
    4 projects | /r/datascience | 9 Sep 2021
    Transformations: We found out that JavaScript in combination with D3.js has a pretty decent set of data transformation functions; however, it comes nowhere near to Pandas or dplyr. We found out about Tidy.js quite early, loved it, and adopted it. The combination of Tidy.js and D3.js and Plot.js is absolutely amazing for visualizations and data wrangling with small datasets, say 10-100K rows. We were very happy with this for a while; however, once you move away from visualizations into real-world data analysis, we found out 100K rows restrictive, which gets worse when having 100 or 1K columns. So we switched gears and started using Arquero.js, which happens to be columnar and enabled us to process +1M rows in the browser, descent size for real-world data analysis.
  • Arquero – Query processing and transformation of array-backed data tables
    1 project | news.ycombinator.com | 16 Feb 2021
  • Apache Arrow 3.0.0 Release
    10 projects | news.ycombinator.com | 3 Feb 2021
    Take a look at the arquero library from a research group at University of Washington (the same group that D3 came out of). https://github.com/uwdata/arquero

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.

What are some alternatives?

When comparing arquero and nodejs-polars you can also consider the following projects:

perspective - A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

ibis - the portable Python dataframe library

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

falcon - Brushing and linking for big data

hal9ai - Hal9 — Data apps powered by code and LLMs [Moved to: https://github.com/hal9ai/hal9]

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

regression-js - Curve Fitting in JavaScript.

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

arrow-julia - Official Julia implementation of Apache Arrow

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

cylon - Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.

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