uwdata/arquero

Health v2 · maintenance only

Adoption not part of the score

1534 stars · 74 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Arquero is a JavaScript library for query processing and transformation of array-backed, column-oriented data tables. It offers a fluent, dplyr-inspired API supporting filter, aggregation, window, join, and reshaping operations over arrays, typed arrays, and Apache Arrow columns.

Use cases

• filter and transform large in-memory tables in JavaScript
• perform group-by aggregations and window functions on data frames
• join and reshape datasets in the browser or Node.js
• query Apache Arrow columnar data with a fluent API
• clean and wrangle CSV or JSON data for analysis
• run dplyr-style data pipelines without a database server

When to choose

• you need fast in-memory data frame operations in JavaScript or TypeScript
• you want dplyr-like table verbs in the browser or Node.js
• you work with Apache Arrow columns or typed arrays
• you need million+ row transformations without a backend database

When to avoid

• you need persistent storage or SQL queries over disk-based data
• you work primarily in Python or R with pandas or dplyr
• you need distributed or out-of-core processing of very large datasets
• you only need simple array utilities without table semantics

Facets

library · maturity stable

database etl data-science serialization data-science developer-tools analytics browser cross-platform dataframe query-processing relational-algebra dplyr-inspired apache-arrow column-oriented data-wrangling table-transformations data-engineering nodejs javascript

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