iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
ApexCharts
Chart.js
D3.js
nivo
Vizzu
AnyChart
Highcharts
Recharts
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.
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iPython might be a bit more popular than ApexCharts. We know about 20 links to it since March 2021 and only 15 links to ApexCharts. 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.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 12 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / over 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
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
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.
Chart.js - Easy, object oriented client side graphs for designers and developers.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
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.
Spyder - The Scientific Python Development Environment
nivo - nivo provides a rich set of dataviz components