Top all-time · #6366
Alteryx
Company blog · trifacta.comdataprogramming
Alteryx is the company blog at trifacta.com, writing about data and programming. Since 2012, 13 different Hacker News readers have linked it 16 times. It is still writing: the last post was on 2026-10-23, and you can follow it by feed.
Too few sampled comments (10) to say how often HN recommends it.?
Why HN links it
HN readers link Trifacta's site for its Wrangler data-wrangling product, which grew out of Stanford's DataWrangler research tool, and for information on the company's team and founders. Comments discuss the product rather than writing.
Summarised by Claude from a sample of 10 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Trifacta has joined Alteryx to help customers and partners bring even more value to their businesses, powered by breakthrough data analytic insights.
Most-linked posts?
- /products/wrangler/2 people · 2 mentions · first linked 2017-05-18
- /2 people · 2 mentions · first linked 2013-08-01
- /2 people · 2 mentions · first linked 2019-06-27
What Hacker News says?
DataWrangler [0] (now productionized as Trifacta Wrangler [1]) does pretty much that. It gives you suggested lists of transformations such as "Cut from position 18-25 as the Year column", that you can chain together as your data cleaning pipeline. [0]: http://vis.stanford.edu/wrangler/ [1]: https://www.trifacta.com/products/wrangler/
Comment linking /products/wrangler/
on “Transform Data by Example [video]”Submitted Trifacta Wrangler: A Free Data Wrangling Tool on the Desktop as a story · 10 points
HN discussionAn older, but very slick tool for wrangling data: http://vis.stanford.edu/wrangler/ Which is now a commercial tool: https://www.trifacta.com/products/wrangler-editions/#wrangle...
Comment linking /products/wrangler-editions/
on “Show HN: Ananas – a hackable data tool for beginners”Submitted D3 and Data Visualization Insights with Mike Bostock as a story · 3 points
HN discussion> In academia, who the heck gets a doctorate for advancements in cleaning up arbitrary data to feed into ML models Well - Alex Ratner [stanford], for one: https://ajratner.github.io/ And several of Chris Re's other students have as well: https://cs.stanford.edu/~chrismre/ Trifacta is Joseph Hellerstein's [berkeley] startup for data wrangling: https://www.trifacta.com/ Sanjay Krishnan [berkeley]: http://sanjayk.io/
Comment linking /
on “Using AWK and R to parse 25TB”Submitted Tableau Software from the Early Days: Tableau’s First Intern Reflects as a story · 3 points
HN discussionYes, completely agree that each dataset requires decisions to be made that can't be automated, but there are huge opportunities for tools to assist users in understanding what cleaning decisions they might want to make and how those decisions affect the data. Most data cleaning tools do a very poor job of helping the user visualize and understand the impact cleaning has on data - they're usually very low level (such…
Comment linking /products/wrangler/
on “The State of Data Science and Machine Learning”Submitted Wrangling Data for good as a story · 3 points
HN discussionReminded me a bit of the 'data wrangler' tool from Stanford. It was * a fantastic tool for dealing with messy data. http://vis.stanford.edu/wrangler/ *it's now a commercial product maintained by Trifacta ( https://www.trifacta.com/start-wrangling/ )
Comment linking /start-wrangling/
on “OpenRefine – free, open source, powerful tool for working with messy data”Submitted Data Science: From Hubris and Machismo to Human-Centered Design as a story · 3 points
HN discussionDon't buy the copy, buy the original: https://www.trifacta.com/
Comment linking /
on “AWS releases Glue Databrew, a visual ETL tool”Submitted Trifacta Launches its Big Data Transformation Platform as a story · 1 points
HN discussionI work in the data analytics space, so I'll focus there since many of the other answers give a good, broad set of companies to consider. * Trifacta ( http://www.trifacta.com/ ) are dealing with the very grungy problem of data transformation. Their approach is heavily UX-centric, with built-in predictive capabilities that learn what you are doing as you try to transform disparate data sets to meet your needs. * Segme…
Comment linking /
on “Ask HN: What startups are working on hard, technically challenging problems?”This software (Trifacta Wrangler) was demoed at NeurIPS this year and looked very impressive. https://www.trifacta.com/products/wrangler-editions There is also the non-maintaned version that the company spun out from: http://vis.stanford.edu/wrangler/
Comment linking /products/wrangler-editions
on “CleverCSV: A Drop-In Replacement for Python's CSV Module”Eg. http://www.trifacta.com/ founded by the guys who started DataWrangler :)
Comment linking /
on “CSV as a Data Source”As far as their team goes[1], they have the most prominent bigwigs in the field of Machine Learning and HCI working for / advising them. Looks like a promising startup. [1] - http://www.trifacta.com/team
Comment linking /team
on “Why Trifacta is teaching humans and data to work together”