Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Okular
Sumatra PDF
Evince
calibre
MuPDF
Adobe Reader
FBReader
PDF-XChange Editor
Plotly
OkularPlotly 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.
Okular is recommended for students, educators, professionals, and any users who require a reliable and feature-rich document viewer capable of handling a wide range of file formats. It is particularly beneficial for those who value open-source software and need robust annotation and document management tools across different platforms.
Okular might be a bit more popular than Plotly. We know about 44 links to it since March 2021 and only 34 links to Plotly. 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.
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
If you mean signing as in "signing with your handwritten signature", you could use Okular () which easily allows you to do that. Filling out forms also works nicely. Source: over 2 years ago
I was in a similar position lately until I found Okular. Have you tried it? https://okular.kde.org/. - Source: Hacker News / almost 3 years ago
I would try Okular first, though, which is free and open source: https://okular.kde.org/. Source: about 3 years ago
KDE's okular might be a good choice. I haven't personally used it for epub but I know it supports it. https://okular.kde.org/. - Source: Hacker News / about 3 years ago
I use okular, don't think it has web export though. Source: about 3 years ago
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.
Sumatra PDF - Sumatra PDF is a slim PDF/DjVu/EPUB/XPS/CHM/CBR/CBZ/MOBI viewer for Windows.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Evince - Evince is a document viewer for multiple document formats: PDF, Postscript, djvu, tiff, dvi, XPS...
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.
calibre - Ebook manager, viewer & converter