Add the SurveyJS white-label form builder to your JavaScript app (React/Angular/Vue3). Build complex JSON forms without coding. Fully customizable, works with any backend, perfect for data-heavy apps. Learn more. Learn more →
Arquero Alternatives
Similar projects and alternatives to arquero
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SurveyJS
JavaScript Form Builder with No-Code UI & Built-In JSON Schema Editor. Add the SurveyJS white-label form builder to your JavaScript app (React/Angular/Vue3). Build complex JSON forms without coding. Fully customizable, works with any backend, perfect for data-heavy apps. Learn more.
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perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
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hal9ai
Discontinued Hal9 — Data apps powered by code and LLMs [Moved to: https://github.com/hal9ai/hal9]
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Civic Auth
Auth in Less Than 5 Minutes. Civic Auth comes with multiple SSO options, optional embedded wallets, and user management — all implemented with just a few lines of code. Start building today.
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Apache Arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
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cylon
Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame. (by cylondata)
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
arquero discussion
arquero reviews and mentions
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Show HN: JAQT – JavaScript Queries and Transformations
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).
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A New Package for Making Charts in Emacs: Eplot
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
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Goodbye, Node.js Buffer
https://github.com/uwdata/arquero
- Arquero is a JavaScript library for query processing and transformation of array-backed data tables
- Arquero – data tables wrangling in JavaScript
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Hal9: Data Science with JavaScript
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
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Apache Arrow 3.0.0 Release
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
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A note from our sponsor - SurveyJS
surveyjs.io | 16 May 2025
Stats
uwdata/arquero is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of arquero is JavaScript.