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Kanaries
pygwalker
Python2023–2025
Kanaries / pygwalker

pygwalker

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

Data & Databases
Explore on GitHubRead Hacker News discussions
7Distinct people
17Mentions
0Explicit recommenders
16KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

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 month17 dated mentions

Observed mentions: 2023-02-20 15:50:49 UTC to 2025-03-17 11:12:00 UTC.

02462023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 commentsFeb 20232023-03-01 00:00:00 UTC to 2023-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 20242024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 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 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsMar 2025

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
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC615
Mar 20232023-03-01 00:00:00 UTC2023-04-01 00:00:00 UTC000
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC110
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC202
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC110
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC000
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC000
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC000
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC110
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC000
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC101
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC000
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC000
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC000
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC000
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC101
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC101
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC101
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC202

What Hacker News says

17 sources
westurner·Feb 27, 2025
TIL that Apache Echarts can generate WAI-ARIA accessible textual descriptions for charts and supports WebGL. https://echarts.apache.org/en/feature.html#aria apache/echarts: https://github.com/apache/echarts Marimo notebook has functionality like rxpy and ipyflow to auto-reexecute input cell dependencies fwiu: https://news.ycombinator.com/item?id=41404681#41406570 .. https://github.com/marimo-team/marimo/releases/tag/0.8.4 : > With this release, it's now possible to create standalone notebook files that have package requirements embedded in them as a comment, using PEP 723's inline metadata marimo-team/marimo: https://github.com/marimo-team/marimo ipywidgets is another way to build event-based UIs in otherwise Reproducible notebooks. datasette-lite doesn't yet work with jupyterlite and emscripten-forge yet FWIU; but does build SQLite in W
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ASM with pyodide. https://github.com/simonw/datasette-lite pygwalker: https://github.com/Kanaries/pygwalker .. https://news.ycombinator.com/item?id=35895899 How do you record manual interactions with ui controls and spreadsheet grids to code for reproducibility? > "Generate code from GUI interactions; State restoration & Undo" https://github.com/Kanaries/pygwalker/issues/90 > The Scientific Method is testing, so testing (tests, assertions, fixtures) should be core to any scientific workflow system. ipytest has a %%ipytest cell magic to run functions that start with test_ and subclasses of unittest.TestCase with the pytest test runner. https://github.com/chmp/ipytest How can test functions with assertions be written with Probly?
In Show HN: Probly – Spreadsheets, Python, and AI in the browser
loa_observer·Sep 3, 2024
Wow, Vega is here! All our projects for data analytic and visualization are based on vega/vega-lite, really impressive by vega's signals design when i learned it first time(it's like rxjs, which i also love). Share some work based on vega/vega-lite: - PyGWalker: turn dataframe to tableau alternative UI in jupyter: https://github.com/Kanaries/pygwalker - RATH: Automation of data exploration workflow with one click. https://github.com/Kanaries/Rath - GWalkR: drag-and-drop based visualization in RStudio, https://kanaries.net/gwalkr
In Vega – A declarative language for interactive visualization designs
westurner·May 24, 2023
What a great idea. TIL about jupyterlab-blockly https://jupyterlab-blockly.readthedocs.io/en/latest/ https://jupyterlab-blockly.readthedocs.io/en/latest/other_ex... : > The JupyterLab-Blockly extension is ready to be used as a base for other projects: you can register new Blocks, Toolboxes and Generators. It is a great tool for fast prototyping." jupyter-cadquery: https://github.com/bernhard-42/jupyter-cadquery "Generate code from GUI interactions" https://github.com/Kanaries/pygwalker/issues/90 Why cadquery instead of OpenSCAD: https://cadquery.readthedocs.io/en/latest/intro.html#why-cad... /? awesome finite element analysis site:github.com https://www.google.com/search?q=awesome+finite+element+analy... AI Game Development Tools (AI-GDT) > 3D Model https://github.com/Yuan-ManX/ai-game-development-tools#3d-mo... : > blender_jarvis - Co
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ntrol Blender through text prompts with help of ChatGPT* > Blender-GPT - An all-in-one Blender assistant powered by GPT3/4 + Whisper [speech2text] integration > BlenderGPT > chatGPT-maya - Simple Maya tool that utilizes open AI to perform basic tasks based on descriptive instructions.
In A blocky based CAD program
westurner·May 11, 2023
> Crafting workflows out of notebooks is a really bad idea; an anti-pattern. If you want to go down the road of "workflows for data scientists" https://westurner.github.io/hnlog/ Ctrl-F "DVC" ( https://dvc.org/ ) , https://westurner.github.io/hnlog/#comment-24261118 "Ten Simple Rules for Reproducible Computational Research", “Ten Simple Rules for Creating a Good Data Management Plan”, PROV pygwalker https://github.com/Kanaries/pygwalker : > PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis "Generate code from GUI interactions; State restoration & Undo" https://github.com/Kanaries/pygwalker/issues/90
In Show HN: Mineo.app – Better Python Notebooks
loa_observer·Apr 24, 2023Submission

Show HN: Copilot for Data Analysis, beyond an open-source alternative to Tableau

RATH is an open-source software for data exploration and visualization. It automates your workflow in data analysis. You can give RATH a CSV file and it will generates visualizations with insights and patterns automatically. It also has a data painter tool for more casual interaction with charts (https://youtu.be/djqePNyhz7w). It also has a lot of cool features like autovis, causal discovery, GPT integration, predictive interaction for text feature extraction, etc. Some of RATH’s components are also independent open-source project you might be interested: Like + Graphic Walker (https://github.com/Kanaries/graphic-walker): A lite embeddable component for visual analysis. + PyGWalker (https://github.com/Kanaries/pygwalker): turning your pandas dataframe into a Tableau-style User Interface for visual exploration. RATH is a collection of
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interesting ideas that we think the next generation of data analysis software should be, so there might be many features that not well organized to be a united app. Tell me which feature you prefer and which is not. Looking forward for your ideas and advice.
61 points · Open discussion

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