
Smallpdf
iLovePDF
Adobe Acrobat DC
Sejda
PDF24
CloudConvert
TinyPNG
PDF24 PDF Creator
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Smallpdf
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.
Smallpdf might be a bit more popular than Plotly. We know about 38 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.
According to statistics from smallpdf.com, by 2025, there will be a massive 2.5 trillion PDF documents stored worldwide, and 290 billion new PDF documents will be created every year. - Source: dev.to / 8 months ago
Smallpdf [1] probably deserves a mention here. Not OSS and not self-hosted, but Iโve used it occasionally and it has always worked really well. When I was running an agency, we inherited their first office โ very cool folks. [1] https://smallpdf.com/. - Source: Hacker News / over 2 years ago
And use this one to merge two single-page pdf to make a double side page. Source: over 2 years ago
I don't have Office 365 for the "Get Data" option, nor do I have Adobe Acrobat. I've tried the smallpdf website but it came out a mess, possibly because my original spreadsheet had highlighted rows and lots of text in some of the cells. Source: over 3 years ago
Examples of companies doing this well: - SmallPDF users can convert or compress a limited number of files without an account โ turning users into advocates and customers once paid use cases comes along; - Freshline uses interactive product demos to help users self-educate and understand the value of their features, without a paywall or registration;. Source: over 3 years 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 / 5 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
iLovePDF - Premium online PDF tool set
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.
Adobe Acrobat DC - Make your job easier with Adobe Acrobat DC, the trusted PDF creator. Use Acrobat to convert, edit and sign PDF files at your desk or on the go.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Sejda - Split, merge and other powerful PDF tools.
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.