Software Alternatives, Accelerators & Startups

Chartist.js VS Jupyter

Compare Chartist.js VS Jupyter and see what are their differences

Chartist.js logo Chartist.js

Chartist.JS - simple responsive charts.

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • Chartist.js Landing page
    Landing page //
    2018-11-26
  • Jupyter Landing page
    Landing page //
    2023-06-22

Chartist.js videos

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Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to Chartist.js and Jupyter)
Charting Libraries
100 100%
0% 0
Data Science And Machine Learning
Data Dashboard
19 19%
81% 81
Data Visualization
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Chartist.js and Jupyter

Chartist.js Reviews

15 JavaScript Libraries for Creating Beautiful Charts
Chartist.js provides beautiful responsive charts. Just like ChartJS, Chartist.js is the product of a community that was frustrated by using highly-priced JavaScript charting libraries. It uses SVG to render the charts. It can be controlled and customized through CSS3 media queries and Sass. Also, note that Chartist.js provides cool animations that will work only in modern...
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Chartist.js is an open-source, unintrusive JS library which can also be used to create nice responsive charts. Generally, Chartist is good for those who need a very simple chart — line, bar, or pie — and who do not require much in terms of data visualization. Good appearance, no need to have many great features in this case.
Source: hackernoon.com
A Complete Overview of the Best Data Visualization Tools
Chartist.js is a free, open-source JavaScript library that allows for creating simple responsive charts that are highly customizable and cross-browser compatible. The entire JavaScript library is only 10KB when GZIPped. Charts created with Chartist.js can also be animated, and plugins allow it to be extended.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Chartist.js is the result of a desire to create a JavaScript charting library that’s above all of the rest. Leveraging Sass, the styles of the data visualization tool are fully customizable and boasts a responsive, DPI independent, and media query-based SVG output. Chartist.js can be easily integrated with WordPress, Ember, Meteor, React, and AngularJS through a variety of...
Source: improvado.io

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Chartist.js. While we know about 208 links to Jupyter, we've tracked only 12 mentions of Chartist.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Chartist.js mentions (12)

  • Free SVG generators, color tools and web design tools
    Here's a JS framework that seems to do almost everything you want (outside of not requiring a JS framework, of course). It's a Sass project and uses Node modules, so I wasn't able to get it running using vanila js. (I'm not much of a JS dev.) I'm also interested in other players in this space. SVG seems like the ideal way to make static plots. https://gionkunz.github.io/chartist-js/. - Source: Hacker News / 5 months ago
  • Looking for savable graphing methods
    If you are sending the data to a website, or serving the website yourself, using JSON as the data format will be the easiest. Personally I never use cloud services and I just use a Javascript charting library like https://gionkunz.github.io/chartist-js/ (it supports real-time graphs) on a web page that is self-hosted (run a server on the ESP32). Source: about 1 year ago
  • Chartist: Simple Responsive Charts in SVG
    The author went through the effort of creating a marketing site with documentation and examples. https://gionkunz.github.io/chartist-js/. - Source: Hacker News / over 1 year ago
  • The Best GitHub Repositories For Django Developers.
    With django-controlcenter you can have all of your models on one single page and build beautiful charts with Chartist.js. Actually they don't even have to be a django models, get your data from wherever you want: RDBMS, NOSQL, text file or even from an external web-page, it doesn't matter. - Source: dev.to / almost 2 years ago
  • Vuenique, an open-source library bringing the power of low-level visualization to Vue
    Anyone here have some good suggestions for mature, easy to use graph libraries for Vue 3? Maybe I should write a wrapper around Chartist myself... Source: about 2 years ago
View more

Jupyter mentions (208)

  • The Gemika's Magical Guide to Sorting Hogwarts Students using the Decision Tree Algorithm (Part #2)
    Just as a wizard requires a wand, a data scientist requires Python to cast their spells. Let’s gather around the cauldron and brew a potion of installations, setting up Python and Jupyter Notebook, which will be our magical companions in this adventure. 🪄✨. - Source: dev.to / 11 days ago
  • The Gemika's Magical Guide to Sorting Hogwarts Students using the Decision Tree Algorithm (Part #1)
    Professor Nugroho, a close confidant of the venerable Albus Dumbledore, has dedicated his life to unraveling the mysteries of both magic and data. With a wand in one hand and a Jupyter Notebook on the other, he delves into the secrets of the magical universe. His office, tucked away in a quiet corner of Hogwarts, is a haven of books and scrolls, with enchanted quills scribbling notes and cauldrons bubbling with... - Source: dev.to / 12 days ago
  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 2 months ago
  • scrape-yahoo-finance
    JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 2 months ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Chartist.js and Jupyter, you can also consider the following products

Chart.js - Easy, object oriented client side graphs for designers and developers.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

AnyChart - Award-winning JavaScript charting library & Qlik Sense extensions from a global leader in data visualization! Loved by thousands of happy customers, including over 75% of Fortune 500 companies & over half of the top 1000 software vendors worldwide.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.