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Barabasi-Lab
GroceryDB
Jupyter Notebook2022–2025
Barabasi-Lab / GroceryDB

GroceryDB

Data and Codes for GroceryDB

4Distinct people
5Mentions
0Explicit recommenders
164GitHub stars
REPOSITORY AT A GLANCE

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What it is

Data and Codes for GroceryDB

GitHub

Where it is used

No documented product use has been verified yet.

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, 5:04:57 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 year5 dated mentions

Observed mentions: 2022-09-27 20:51:02 UTC to 2025-06-26 22:04:46 UTC.

0122022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025

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
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC211
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC211

What Hacker News says

5 sources
https://github.com/Barabasi-Lab/GroceryDB > we introduce GroceryDB, a database with over 50,000 food items sold by Walmart, Target, and Wholefoods, unveiling the degree of processing characterizing each food. GroceryDB indicates that 73% of the US food supply is ultra-processed, and on average ultra-processed foods are 52% cheaper than minimally-processed alternatives. We find that the nutritional choices of the consumers, translated as the degree of food processing, strongly depend on the food categories and grocery stores. We show that there is no single nutrient or ingredient "bio-marker" for ultra-processed food, allowing us to quantify the individual contribution of over 1,000 ingredients to ultra-processing. GroceryDB and the associated https://www.TrueFood.tech website make this information available, aiming to simultaneously empow
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er consumers to make healthy food choices, and aid policy makers to reform the food supply. Machine Learning Prediction of Food Processing (2021), https://www.medrxiv.org/content/10.1101/2021.05.22.21257615 GroceryDB: Prevalence of Processed Food in Grocery Stores (2022), https://www.medrxiv.org/content/10.1101/2022.04.23.22274217
In The new science on what ultra-processed food does to the brain
The research database yesterday on GitHub: https://github.com/Barabasi-Lab/GroceryDB The research paper: https://www.medrxiv.org/content/10.1101/2021.05.22.21257615v... Per the Washington Post: > If you need the convenience of ultra-processed foods, you can check labels and comparison shop. Try to pick the products with the fewest ingredients. For help while shopping, you can pull up a website on your phone called truefood.tech. On the site you can type in a food that you want to buy — such as chicken nuggets or breakfast cereal — and in response the site will show you dozens of brands and recommend the least processed versions. The site uses machine learning to rank foods on a scale of 1 to 100 based on factors such as how many additives they contain and their degree of processing. The lower the score the better. > The site was created b
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y Giulia Menichetti and Albert-László Barabási, two scientists at Northeastern University who study ultra-processed foods and developed a database of over 50,000 foods sold in grocery stores. You may be surprised by the wide variation in processing among different types of macaroni and cheese or that your favorite organic gluten-free chicken nuggets score higher than a standard recipe. https://www.washingtonpost.com/wellness/2022/09/27/ultraproc...
In TrueFood: ML-based comparison of groceries by degree of processing

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