fugue

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

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7Distinct people

10Mentions

0Explicit recommenders

2.2KGitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

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Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 5:05:26 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year10 dated mentions

Observed mentions: 2021-10-11 21:03:25 UTC to 2024-12-16 01:50:56 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Submissions	Comments
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	1	0	1
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	2	0	2
2023	2023-01-01 00:00:00 UTC	2024-01-01 00:00:00 UTC	5	1	4
2024	2024-01-01 00:00:00 UTC	2025-01-01 00:00:00 UTC	2	0	2

What Hacker News says

2 sources

Kalanos·May 10, 2022

All of the keynotes were great and satisfied totally different needs. I think they should have lead with PyScript though. Also: - https://github.com/fugue-project/fugue - https://github.com/pyodide/pyodide

In PyCon US 2022 Highlights

kvnkho·Feb 14, 2022

Hi HN, I am one of the contributors of Fugue. Fugue is an open-source abstraction layer that ports Python/Pandas/SQL code to Spark or Dask. This article covers the programming interface and benefits Fugue provides, specifically: * Handling inconsistent behavior between different compute frameworks (Pandas, Spark, and Dask) * Allowing reusability of code across Pandas-sized and Spark-sized data * Dramatically speeding up testing and and iteration cycles * Enabling new users to be productive with Spark much faster * Providing a SQL interface capable of handling end-to-end workflows There was a previous post on here about our SQL interface that lets you use SQL on top of Pandas, Spark and Dask. This post talks about the broader project. https://news.ycombinator.com/item?id=28830243 Our repo can be found here: https://github.com/fugue-project

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/fugue Happy to answer any questions!

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