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OpenRefine
OpenRefine
Java2012–2024
OpenRefine / OpenRefine

OpenRefine

OpenRefine is a free, open source power tool for working with messy data and improving it

Science & Engineering
Explore on GitHubRead Hacker News discussions
14Distinct people
16Mentions
0Explicit recommenders
12.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

OpenRefine is a free, open source power tool for working with messy data and improving it

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 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 year16 dated mentions

Observed mentions: 2012-12-09 13:37:15 UTC to 2024-02-16 03:19:59 UTC.

0123452012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 5 mentions; 2 submissions, 3 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

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.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC110
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC000
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC202
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC202
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC110
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC523
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

16 sources
thadguidry·Mar 23, 2020
That author did not have Spark tuned well for the use case. This is a common issue with Spark. Since OpenRefine commonly is used with Strings, we plan to optimize in many areas for that such a few mentioned here: https://databricks.com/glossary/spark-tuning But in general, there are always tradeoffs when trying to provide immediate feedback for interactions. Since OpenRefine has many interactive features, some will need to support batching and advise the user in the interface that things will take longer...do you want to send to batch? Some of the tradeoffs and ways we plan to address these are mentioned in our general OpenRefine on Spark issue here: https://github.com/OpenRefine/OpenRefine/issues/1433
In OpenRefine – free, open source, powerful tool for working with messy data
thadguidry·Mar 23, 2020
Our current architecture is here: https://github.com/OpenRefine/OpenRefine/wiki/Architecture YES! We want users to process much larger data sets also! We have started experiments with using Apache Spark on the backend where the hope is that we can help users with much larger datasets. This work is being funded by CZI and you can read the grant proposal here: http://openrefine.org/blog/2019/11/14/czi-eoss.html
In OpenRefine – free, open source, powerful tool for working with messy data
westurner·Feb 5, 2019
OpenRefine/OpenRefine/wiki/Jupyter "Within the Python context, a Python OpenRefine client allows a user to script interactions within a Jupyter notebook against an OpenRefine application instance, essentially as a headless service (although workflows are possible where both notebook-scripted and live interactions take place. https://github.com/OpenRefine/OpenRefine/wiki/Jupyter Are there data wrangling workflows that are supported by OpenRefine but not Pandas, Dask, or Vaex?
In Lectures in Quantitative Economics as Python and Julia Notebooks

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