Based on our record, Imgur seems to be a lot more popular than Plotly. While we know about 5458 links to Imgur, we've tracked only 30 mentions of 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.
I developed a full-stack image sharing platform similar to Giphy or Imgur in order to showcase the power of building full-stack applications with only Netlify Primitives. - Source: dev.to / about 2 months ago
In the beginning, finding a place to store images was quite difficult. I once set up a simple image server using Node.js, but it was a burden to maintain. There were many things to consider, and I didn't want to spend too much time on that. By chance, I found the website imgur.com - which allowed me to upload images without many restrictions, and at that time, the image loading speed from imgur was quite good, so... - Source: dev.to / 4 months ago
As one of the most popular free image hosts, Imgur is a top choice for quickly sharing images online. - Source: dev.to / 5 months ago
Also the first pic is broken and does not load, try upload them directly to imgur.com and reply with a link. Source: 7 months ago
If you would like to provide images and videos, you may use external websites such as Imgur, Gyazo and Streamable to embed links. Source: 7 months 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 / 17 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago
ImgBB - Upload and share your images.
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.
Streamable - Fast and easy video streaming for bloggers and publishers.
Chart.js - Easy, object oriented client side graphs for designers and developers.
PostImage.org - Provides free image upload and hosting integration for forums.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application