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firmai
deltapy
Jupyter Notebook2020–2020
firmai / deltapy

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

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4Distinct people
4Mentions
0Explicit recommenders
558GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

DeltaPy - Tabular Data Augmentation (by @firmai)

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, 3:56:07 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 hour4 dated mentions

Observed mentions: 2020-04-09 08:50:50 UTC to 2020-04-09 20:27:46 UTC.

012020-04-09 08:00:00 UTC to 2020-04-09 09:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsApr 9, 08:002020-04-09 09:00:00 UTC to 2020-04-09 10:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 10:00:00 UTC to 2020-04-09 11:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 11:00:00 UTC to 2020-04-09 12:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 12:00:00 UTC to 2020-04-09 13:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 13:00:00 UTC to 2020-04-09 14:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2020-04-09 14:00:00 UTC to 2020-04-09 15:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 9, 14:002020-04-09 15:00:00 UTC to 2020-04-09 16:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 16:00:00 UTC to 2020-04-09 17:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 17:00:00 UTC to 2020-04-09 18:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 18:00:00 UTC to 2020-04-09 19:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 19:00:00 UTC to 2020-04-09 20:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-04-09 20:00:00 UTC to 2020-04-09 21:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 9, 20:00

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
Apr 9, 08:002020-04-09 08:00:00 UTC2020-04-09 09:00:00 UTC110
Apr 9, 09:002020-04-09 09:00:00 UTC2020-04-09 10:00:00 UTC000
Apr 9, 10:002020-04-09 10:00:00 UTC2020-04-09 11:00:00 UTC000
Apr 9, 11:002020-04-09 11:00:00 UTC2020-04-09 12:00:00 UTC000
Apr 9, 12:002020-04-09 12:00:00 UTC2020-04-09 13:00:00 UTC000
Apr 9, 13:002020-04-09 13:00:00 UTC2020-04-09 14:00:00 UTC110
Apr 9, 14:002020-04-09 14:00:00 UTC2020-04-09 15:00:00 UTC101
Apr 9, 15:002020-04-09 15:00:00 UTC2020-04-09 16:00:00 UTC000
Apr 9, 16:002020-04-09 16:00:00 UTC2020-04-09 17:00:00 UTC000
Apr 9, 17:002020-04-09 17:00:00 UTC2020-04-09 18:00:00 UTC000
Apr 9, 18:002020-04-09 18:00:00 UTC2020-04-09 19:00:00 UTC000
Apr 9, 19:002020-04-09 19:00:00 UTC2020-04-09 20:00:00 UTC000
Apr 9, 20:002020-04-09 20:00:00 UTC2020-04-09 21:00:00 UTC101

What Hacker News says

4 sources
nik_s·Apr 9, 2020
Very nice! For those who are just skimming the link, this is actually a demonstration of the capabilities of a python package that is available on github [1]. If I understand correctly, most of the transformations are aimed at time-series data. I'm not sure that saying that augmenting tabular data is novel, as claimed in the packages readme, but some transformations definitely were new to me (e.g. the columnar Gan), and this should in no way diminish the fact that such a library is really very, very handy. Thank you to the author for the hard work and sharing this code! [1] https://github.com/firmai/deltapy
In DeltaPy – Tabular Data Augmentation

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