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PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Plotly should be more popular than wxWidgets. It has been mentiond 34 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.
Linux is rarely a porting issue for C++ or python: https://wxwidgets.org/ Static linking libraries for MacOS or Windows is contaminated by GPL/LGPL code, and this why wxwidgets excludes the disclosure requirement. Also, if you are looking for a VueJS cross-platform GUI framework for most Desktop and Mobile platforms (MacOS hardware and developer account is a requirement): https://github.com/quasarframework/quasar... - Source: Hacker News / 4 months ago
Some other options. https://github.com/andlabs/libui > Simple and portable (but not inflexible) GUI library in C that uses the native GUI technologies of each platform it supports. Missing a lot of desktop features and abandoned. https://wxwidgets.org/ > wxWidgets is a C++ library that lets developers create applications for Windows, macOS, Linux and other platforms with a single code base.... - Source: Hacker News / 5 months ago
That is a fact, and why https://wxwidgets.org/ had to have a more open license to cross-port programs from/to other platforms (especially Android and windows often needed Static builds just for practical reasons.) Additionally, a public-domain/CC0 license can run up against some organizations policies. It is better to release under several licenses to reach as many users as possible. Personally prefer Apache... - Source: Hacker News / 7 months ago
I have done native cross-platform projects in https://wxwidgets.org/ and https://quasar.dev/ . Fine for basic interfaces, but static linking on Win64 gets dicey with lgpl libraries etc. YMMV. - Source: Hacker News / 8 months ago
> Are we missing somethng? wxWidgets?[1] [1]: https://wxwidgets.org/. - Source: Hacker News / about 1 year ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
GTK - GTK+ is a multi-platform toolkit for creating graphical user interfaces.
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.
Qt - Powerful, flexible and easy to use, Qt will help you not only meet your tight deadline, but also reduce the maintainable code by an astonishing percentage.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
PyQt - Riverbank | Software | PyQt | What is PyQt?
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.