ApexCharts
Chart.js
D3.js
nivo
Vizzu
AnyChart
Highcharts
Recharts
bpython
iPython
Jupyter
IDLE
ptpython
PyCharm
Python
Spyder
ApexCharts is a modern charting library that helps developers to create beautiful and interactive visualizations for web pages.
Developers and data scientists who need to create interactive and responsive charts quickly. It's also suitable for teams working on projects that require visually appealing and highly customizable data visualizations.
Based on our record, ApexCharts should be more popular than bpython. It has been mentiond 15 times since March 2021. 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.
ApexCharts is an excellent library for creating interactive charts, and integrating it in [Vue.js (https://vuejs.org) is really a piece of cake. However, when it comes to displaying a time-series chart with thousands of points, the performance can suffer, sometimes causing the page to freeze during the rendering or when the user zooms or navigates through the data. - Source: dev.to / 4 months ago
If you wanted to take this one step further, you could instead export the data and build an entire app around it using something like ApexCharts or D3 to create more interactive visualisations. You could even build a dashboard that tracks your performance over time across multiple races. Lots of interesting possibilities here as the data set is pretty rich. I highly recommend checking out the pyrox-client... - Source: dev.to / 6 months ago
This is a basic HTML structure that includes Google Fonts, ApexCharts (for placeholder charts), and links to your compiled CSS and JavaScript files. The body includes classes for light and dark modes. - Source: dev.to / over 1 year ago
When working with large datasets, rendering all points in a line chart can cause significant performance issues. For example, plotting 50,000 data points directly can overwhelm the browser and make the chart unresponsive. Tools like amCharts and ApexCharts struggle with such datasets, while ECharts performs better but still isn't optimized for extremely large datasets. - Source: dev.to / over 1 year ago
ApexCharts is a modern charting library that helps developers to create beautiful and interactive visualizations for web pages. It is an open-source project licensed under MIT and is free to use in commercial applications. - Source: dev.to / about 3 years ago
Yeah, also it's worth to mention bpython. Source: about 4 years ago
Yeah, mostly I lack time to catch up with Jonathan Slenders works, and have stronger backward compatibility requirements. b=But ptpython and pyipython are both great. I should also look into Rich and Textual https://bpython-interpreter.org/ is also another alternative python shell, and of course https://xon.sh. - Source: Hacker News / over 4 years ago
Python comes with IDLE as /usr/bin/idle but it doesn't have a corresponding .desktop file that would let it appear in the application menu. Otherwise, /usr/bin/python has an interactive mode and bpython is a wrapper around that interactive mode that has like syntax highlighting, indenting, undo, etc. Source: almost 5 years ago
Someone posted bpython which I'm pretty ecstatic about but always good to know options. Source: about 5 years ago
Someone else posted this - bpython - which is what I was looking for. Source: about 5 years ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.
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.
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.
nivo - nivo provides a rich set of dataviz components
IDLE - Default IDE which come installed with the Python programming language.