arquero

Query processing and transformation of array-backed data tables. (by uwdata)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better arquero alternative or higher similarity.

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arquero reviews and mentions

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 2024-09-16.
  • Show HN: JAQT – JavaScript Queries and Transformations
    6 projects | news.ycombinator.com | 16 Sep 2024
    In a similar vein is https://pbeshai.github.io/tidy/ which I've used for 3+ years. It's a really nice lightweight transformer.

    I've also used https://github.com/uwdata/arquero once (better performance for large datasets).

  • A New Package for Making Charts in Emacs: Eplot
    4 projects | news.ycombinator.com | 27 Jun 2024
    Neat!

    This is one of my favorite spaces, so I'll add some generic advice which may or may not be helpful.

    I once had the privilege of working for Max Roser and Hannah Ritchie at Our World in Data, as one of the engineers on their Grapher library (https://github.com/owid/owid-grapher), and learned a ton from them (and others on the team) about making great charts.

    My one piece of advice from looking at your examples would be: don't neglect title, subtitle, and caption! They would be so easy to do well because you've already created your "simple headers thingies". A few words go along way. Check out "Storytelling with Data" by Cole Nussbaumer Knaflic for a great read on the subject. Owid's Grapher does those the best, IMO (followed closely by DataWrapper.de -- but that's not open source).

    At some point, if you keep up with this, you'll also want to add a dataflow library and DSL. Hadley Wickham's dplyr in R was the GOAT, and I copied that in my Ohayo tool and in OWID Grapher's CoreTable library (https://github.com/owid/owid-grapher/tree/master/packages/%4...). Jeffrey Heer's newish Arquero (https://idl.uw.edu/arquero/) library is also along those lines.

    Lately I've delving into Mike Bostock's new thing Plot (https://observablehq.com/plot/). So far, excited by it, but only spent a day or two with it at this point.

    I don't use emacs anymore, but hopefully something helpful in the comments above.

  • Show HN: Matrices – explore, visualize, and share large datasets
    2 projects | news.ycombinator.com | 7 Dec 2023
  • 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
  • A note from our sponsor - SurveyJS
    surveyjs.io | 16 May 2025
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