CIciupicri·Nov 4, 2020
> Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
-- https://github.com/nicolaskruchten/jupyter_pivottablejs
In Tad, a desktop application for viewing and analyzing tabular datanicolaskruchten
jupyter_pivottablejs
Python2017–2020
nicolaskruchten / jupyter_pivottablejs
jupyter_pivottablejs
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
2Distinct people
2Mentions
0Explicit recommenders
707GitHub stars
What to know before exploring
What it is
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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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 year2 dated mentions
Observed mentions: 2017-06-30 12:12:50 UTC to 2020-11-04 12:11:21 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
2 sourcesI needed jupyter as a medium of information sharing in my team but matplotlib has just too much of a learning curve to expect everyone to adopt it as tribal knowledge considering this was not a core part of their job. I found a compromise using the wonderful jupyter_pivottablejs library:
https://github.com/nicolaskruchten/jupyter_pivottablejs
Thus allowing you to tweak visualizations on the fly without touching code. My workflow is:
sql -> dataframe -> pivottable
This is not a dig at matplotlib which is undeniably powerful. More like an alternative for those of us that want to convey good-enough flexible interactive visualizations without getting into the minutia with matplotlib
In Effectively Using Matplotlib