arquero VS Apache Arrow

Compare arquero vs Apache Arrow and see what are their differences.


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

Apache Arrow

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing (by apache)
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arquero Apache Arrow
8 76
1,198 13,642
2.3% 1.9%
4.6 10.0
about 2 months ago 1 day ago
JavaScript C++
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.


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 | | 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:

    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:

    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]


  • Goodbye, Node.js Buffer
    15 projects | | 24 Oct 2023
  • 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 | | 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 | | 16 Feb 2021
  • Apache Arrow 3.0.0 Release
    10 projects | | 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).

Apache Arrow

Posts with mentions or reviews of Apache Arrow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-05.
  • How moving from Pandas to Polars made me write better code without writing better code
    2 projects | | 5 Mar 2024
    In comes Polars: a brand new dataframe library, or how the author Ritchie Vink describes it... a query engine with a dataframe frontend. Polars is built on top of the Arrow memory format and is written in Rust, which is a modern performant and memory-safe systems programming language similar to C/C++.
  • From slow to SIMD: A Go optimization story
    10 projects | | 23 Jan 2024
    I learned yesterday about GoLang's assembler - after browsing how arrow is implemented for different languages (my experience is mainly C/C++) - - there are bunch of .S ("asm" files) and I'm still not able to comprehend how these work exactly (I guess it'll take more reading) - it seems very peculiar.

    The last time I've used inlined assembly was back in Turbo/Borland Pascal, then bit in Visual Studio (32-bit), until they got disabled. Then did very little gcc with their more strict specification (while the former you had to know how the ABI worked, the latter too - but it was specced out).

    Anyway - I wasn't expecting to find this in "Go" :) But I guess you can always start with .go code then produce assembly (-S) then optimize it, or find/hire someone to do it.

  • Time Series Analysis with Polars
    2 projects | | 10 Dec 2023
    One is related to the heritage of being built around the NumPy library, which is great for processing numerical data, but becomes an issue as soon as the data is anything else. Pandas 2.0 has started to bring in Arrow, but it's not yet the standard (you have to opt-in and according to the developers it's going to stay that way for the foreseeable future). Also, pandas's Arrow-based features are not yet entirely on par with its NumPy-based features. Polars was built around Arrow from the get go. This makes it very powerful when it comes to exchanging data with other languages and reducing the number of in-memory copying operations, thus leading to better performance.
  • TXR Lisp
    2 projects | | 8 Dec 2023
    IMO a good first step would be to use the txr FFI to write a library for Apache arrow:
  • 3D desktop Game Engine scriptable in Python
    5 projects | | 1 Nov 2023 :

    > Python is used for scripting the editor only, not in-game behaviors.

    > For implementing entity behaviors the only out of box ways are C++, ScriptCanvas (visual scripting) or Lua. Python is currently not available for implementing game logic.

    C++, Lua, and Python all implement CFFI (C Foreign Function Interface) for remote function and method calls.

    "Using CFFI for embedding" :

    > You can use CFFI to generate C code which exports the API of your choice to any C application that wants to link with this C code. This API, which you define yourself, ends up as the API of a .so/.dll/.dylib library—or you can statically link it within a larger application.

    Apache Arrow already supports C, C++, Python, Rust, Go and has C GLib support Lua: :

    > Arrow Lua example: All example codes use LGI to use Arrow GLib based bindings


  • Show HN: Udsv.js – A faster CSV parser in 5KB (min)
    3 projects | | 4 Sep 2023
  • Interacting with Amazon S3 using AWS Data Wrangler (awswrangler) SDK for Pandas: A Comprehensive Guide
    5 projects | | 20 Aug 2023
    AWS Data Wrangler is a Python library that simplifies the process of interacting with various AWS services, built on top of some useful data tools and open-source projects such as Pandas, Apache Arrow and Boto3. It offers streamlined functions to connect to, retrieve, transform, and load data from AWS services, with a strong focus on Amazon S3.
  • Cap'n Proto 1.0
    10 projects | | 28 Jul 2023
    Worker should really adopt Apache Arrow, which has a much bigger ecosystem.

  • C++ Jobs - Q3 2023
    3 projects | /r/cpp | 4 Jul 2023
    Apache Arrow
  • Wheel fails for pyarrow installation
    1 project | /r/learnpython | 16 Jun 2023
    I am aware of the fact that there are other posts about this issue but none of the ideas to solve it worked for me or sometimes none were found. The issue was discussed in the wheel git hub last December and seems to be solved but then it seems like I'm installing the wrong version? I simply used pip3 install pyarrow, is that wrong?

What are some alternatives?

When comparing arquero and Apache Arrow you can also consider the following projects:

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

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

hal9ai - Hal9 — Data apps powered by code and LLMs [Moved to:]

h5py - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

regression-js - Curve Fitting in JavaScript.

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

arrow-julia - Official Julia implementation of Apache Arrow

FlatBuffers - FlatBuffers: Memory Efficient Serialization Library

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

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

vega-loader-arrow - Data loader for the Apache Arrow format.

ClickHouse - ClickHouse® is a free analytics DBMS for big data