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quantopian
qgrid
Python2015–2022
quantopian / qgrid

qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

Data & Databases
Explore on GitHubRead Hacker News discussions
8Distinct people
8Mentions
0Explicit recommenders
3.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

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, 1:49:46 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 year8 dated mentions

Observed mentions: 2015-02-28 07:18:18 UTC to 2022-05-20 12:59:54 UTC.

01232015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 3 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022

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
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC330
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101

What Hacker News says

8 sources
abalaji·Oct 30, 2020
I'm playing around with it right now and right off the bat, I can say that load times are significantly faster than something like mybinder (maybe due to scale or caching?) Overall this seems pretty cool! The realtime editing seems to be killer, google collab is close but not as good from my initial testing. Some of the python package integrations may be able to be replicated with open source tools (e.g. table visualization and https://github.com/quantopian/qgrid) My big question comes down to vendor lock in. What's the vision here for compatibility with the Jupyter eco-system in the long haul? (e.g. do we see Deepnote features contributed back to Jupyter)
In Launch HN: Deepnote (YC S19) – A better data science notebook
westurner·Feb 5, 2019
You can build something like this with Jupyter today. > Traitlets is a framework that lets Python classes have attributes with type checking, dynamically calculated default values, and ‘on change’ callbacks. https://traitlets.readthedocs.io/en/stable/ > Traitlet events. Widget properties are IPython traitlets and traitlets are eventful. To handle changes, the observe method of the widget can be used to register a callback https://ipywidgets.readthedocs.io/en/stable/examples/Widget%... You can definitely build interactive notebooks with Jupyter Notebook and JupyterLab (and ipywidgets or Altair or HoloViews and Bokeh or Plotly for interactive data visualization). > Qgrid is a Jupyter notebook widget which uses SlickGrid to render pandas DataFrames within a Jupyter notebook. This allows you to explore your DataFrames with intuitive scrolling
Read the rest
, sorting, and filtering controls, as well as edit your DataFrames by double clicking cells. https://github.com/quantopian/qgrid Qgrid's API includes event handler registration: https://qgrid.readthedocs.io/en/latest/ > neuron is a robust application that seamlessly combines the power of Visual Studio Code with the interactivity of Jupyter Notebook. https://marketplace.visualstudio.com/items?itemName=neuron.n... "Excel team considering Python as scripting language: asking for feedback" (2017) https://news.ycombinator.com/item?id=15927132 OpenOffice Calc ships with Python 2.7 support: https://wiki.openoffice.org/wiki/Python Procedural scripts written in a general purpose language with named variables (with no UI input except for chart design and persisted parameter changes) are reproducible. What's a good way to review all of the formulas and VBA and/or Python and data ETL in a spreadsheet? Is there a way to record a reproducible data transformation script from a sequence of GUI interactions in e.g. OpenRefine or similar?
In Lectures in Quantitative Economics as Python and Julia Notebooks

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