
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Plot Digitizer
WebPlotDigitizer
DigitizeIt
GraphClick
g3data
Silkscientific UN-SCAN-IT
DataThief III
graph2table
Plotly
Plot DigitizerPlotly 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 seems to be a lot more popular than Plot Digitizer. While we know about 34 links to Plotly, we've tracked only 3 mentions of Plot Digitizer. 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
Data: The CDC data estimating national autism rates only shows data every other year since 2000 (https://www.cdc.gov/ncbddd/autism/data.html). I used California data from Nevison (2018) (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223814/ ) to show a longer-term historical trend. While it doesnโt completely match the national data during the overlapping years (and I wouldnโt expect it to), I have no reason to... Source: almost 3 years ago
There are several, yes. Here is one, and here is anther, and here is a third. There is a detailed comparison here. Source: about 3 years ago
I found this... Something like what you have in mind? (not Foss) https://plotdigitizer.com/. - Source: Hacker News / over 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.
WebPlotDigitizer - WebPlotDigitizer - Web based tool to extract numerical data from plots, images and maps.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
DigitizeIt - Sometimes it is necessary to extract data values from graphs, e.g.
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.
GraphClick - GraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime movies.