HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
awesomedata
awesome-public-datasets
Learning & Reference2014–2024
awesomedata / awesome-public-datasets

awesome-public-datasets

A topic-centric list of HQ open datasets.

28Distinct people
30Mentions
0Explicit recommenders
80.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A topic-centric list of HQ open datasets.

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, 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 year30 dated mentions

Observed mentions: 2014-12-01 08:47:29 UTC to 2024-05-09 15:51:02 UTC.

0123452014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 5 mentions; 3 submissions, 2 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 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
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC110
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC532
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC514
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC211
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC413
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 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC220
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC312
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC321

What Hacker News says

30 sources
Read the rest
In Good coding groups for black women?
Read the rest
areas, and 4G / cellular data networks and you can get data from all over the place. You can also use a cheap SDR "dongle" to pull down data from various weather satellites and other sources. And don't forget about the API's / data export mechanisms for apps you might use like Fitbit, Strava, MapMyRun, etc.
In Ask HN: Where to find open data sets to play around with to learn ML?
You are exactly right! There does not seem to be much out there. I usually do hash or otherwise transform real-world (e.g., https://github.com/awesomedata/awesome-public-datasets) data to retain basic properties like skewness utf8 well-formedness, cardinality, and such. Like many others, I often use the Enron eMail dataset, NYC Taxi, or Twitter data (for coherent use of Unicode). And then scale it either by combining attributes randomly or otherwise augmenting it. Earlier in my career, I wrote a regular expression inversion data generator; it quickly spiraled out of control complexity-wise ;-).
In Show HN: Random Data Generator for arbitrary data types

Showing the 15 most recent of 30 sources. Enable JavaScript to search and browse every indexed mention.

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.