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vizzuhq
ipyvizzu
Jupyter Notebook2022–2024
vizzuhq / ipyvizzu

ipyvizzu

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

Data & DatabasesCreative & Media
Explore on GitHubRead Hacker News discussions
3Distinct people
6Mentions
0Explicit recommenders
970GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

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 month6 dated mentions

Observed mentions: 2022-04-03 10:57:07 UTC to 2024-06-27 11:54:07 UTC.

01232022-04-01 00:00:00 UTC to 2022-05-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 commentsApr 20222022-05-01 00:00:00 UTC to 2022-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-06-01 00:00:00 UTC to 2022-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-07-01 00:00:00 UTC to 2022-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-08-01 00:00:00 UTC to 2022-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2022-09-01 00:00:00 UTC to 2022-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-10-01 00:00:00 UTC to 2022-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-11-01 00:00:00 UTC to 2022-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-12-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2023-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-02-01 00:00:00 UTC to 2023-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-03-01 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): 0 mentions; 0 submissions, 0 comments2023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMay 20232023-06-01 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): 0 mentions; 0 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): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 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): 1 mentions; 1 submissions, 0 commentsJun 2024

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 20222022-04-01 00:00:00 UTC2022-05-01 00:00:00 UTC312
May 20222022-05-01 00:00:00 UTC2022-06-01 00:00:00 UTC000
Jun 20222022-06-01 00:00:00 UTC2022-07-01 00:00:00 UTC000
Jul 20222022-07-01 00:00:00 UTC2022-08-01 00:00:00 UTC000
Aug 20222022-08-01 00:00:00 UTC2022-09-01 00:00:00 UTC101
Sep 20222022-09-01 00:00:00 UTC2022-10-01 00:00:00 UTC000
Oct 20222022-10-01 00:00:00 UTC2022-11-01 00:00:00 UTC000
Nov 20222022-11-01 00:00:00 UTC2022-12-01 00:00:00 UTC000
Dec 20222022-12-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
Jan 20232023-01-01 00:00:00 UTC2023-02-01 00:00:00 UTC000
Feb 20232023-02-01 00:00:00 UTC2023-03-01 00:00:00 UTC000
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 UTC000
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC000
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 UTC000
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 UTC000
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 UTC110
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 UTC110

What Hacker News says

6 sources
vidipeti·Jun 27, 2024Submission

Show HN: Embedded our open-source charting lib into a no-code storytelling tool

Hi HN, We're a small team working on a new dataviz engine and its applications. We built our charting engine in C++ and run it on WebAssembly. Two years ago, we launched Vizzu as an open-source animated data visualization library aimed at JS developers, allowing users to create dynamic charts. We also released a Python wrapper under the name ipyvizzu for data scientists. Since then, we've been working hard to make this technology accessible to everyone, regardless of their coding skills. Today, we're proud to introduce our no-code storytelling tool. With this tool, anyone can turn their static data into dynamic, interactive presentations. What Vizzu Does: - Easy Chart Creation — Simply select your data and get chart suggestions. - Interactive Exploration — Identify relationships, trends, and outliers by visually exploring your data. - Dat
Read the rest
a Story Presentation — Create a sequence of slides with animated transitions. Unlike other data visualization tools, Vizzu automatically animates chart transitions, making presentations more engaging and easier to understand. The focus on storytelling and ease of use sets it apart. Try It Out: You can try Vizzu right away by signing up at https://vizzu.io. We'd love to hear your feedback and suggestions! Links: Open-source JS lib: https://github.com/vizzuhq/vizzu-lib Open-source Python tool: https://github.com/vizzuhq/ipyvizzu Previous Show HNs: https://news.ycombinator.com/item?id=28895897 & https://news.ycombinator.com/item?id=30895975 P.S.: Our open-source tools will still be available for anyone to build great stuff with.
13 points · Open discussion
vidipeti·Aug 14, 2022
We built this presentation extension of our open-source charting tool ipyvizzu (https://github.com/vizzuhq/ipyvizzu) because we learnt from the interviews and feedback from data scientists that they struggle with presenting and sharing the results of their analysis with less tech savvy people. Here's a live example: https://vizzuhq.github.io/ipyvizzu-story/examples/demo/ipyvi... What do you think?
In Show HN: Build, present and share animated data stories in Jupyter Notebook
vidipeti·Apr 3, 2022
I work in the small team that created Vizzu (https://news.ycombinator.com/item?id=28895897), and now we've integrated our tool into Jupyter Notebooks to help data scientists and analysts present the results of their work easier. ipyvizzu uses our open-source Javascript/C++ library, utilizing its generic dataviz engine that generates many types of charts and seamlessly animates between them. It is designed for building animated data stories as it enables showing different perspectives of the data that the viewers can easily follow. Next to creating a Python API, we added extra features for this integration, like using data from a Pandas dataframe and auto-scrolling to keep the chart in position while executing multiple cells. We would love to know what you think about it and how we should improve ipyvizzu. Repo: https://github.com/vizzuhq/
Read the rest
ipyvizzu Examples - click on any of them to see the code: https://vizzuhq.github.io/ipyvizzu/examples/examples.html#an....
In Show HN: ipyvizzu – open-source animated charts in Jupyter Notebooks

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