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Based on our record, Lorem Picsum should be more popular than Plotly. It has been mentiond 54 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.
... // NEXT_S defines the delay (in seconds) to show next saved image #define NEXT_S 5 ... // MAX_IMAGE_COUNT define that maximum number of images that can be saved // set MAX_IMAGE_COUNT to 0 to force reformat the storage #define MAX_IMAGE_COUNT 10 ... // getDownloadImageURL() returns a URL to download an image; add / remove sites as needed // download image bigger than needed (on purpose) Const... - Source: dev.to / 1 day ago
I surveyed the apps on my phone and snagged a cross-section of different experiences. For the data, I wrote a MockDataService to generate useful yet random content. For images, I used a combination of Lorem Picsum and images I crafted with ChatGPT. - Source: dev.to / 9 days ago
Export const fetchImages = async (page = 1, limit = 10) => { const response = await fetch( `https://picsum.photos/v2/list?page=${page}&limit=${limit}` ); if (!response.ok) { throw new Error("Failed to fetch images"); } const imageList = await response.json(); return imageList; };. - Source: dev.to / about 2 months ago
// src/app/page.js Import ImageSlider from "../components/image-slider"; Export default function Page() { return ( <>{"Image slider"}h1> ); }.
- Source: dev.to / 2 months ago
Lorem Picsum is a free picture placeholder service that can be used on websites, apps, or anywhere a placeholder image is needed. It provides a simple API that can obtain random images through HTTP requests, and can also specify specific image sizes and other parameters. Lorem Picsum also provides a website where pictures can be browsed and downloaded. These images are uploaded by photographers from the Unsplash... - Source: dev.to / 3 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 / 24 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
PlaceKitten - Dead-easy placeholder images. Of kittens.
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.
PlaceIMG - Placeholder images for your project in progress. Custom URLs generate placeholder pictures in various sizes with categories and effects.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Placeholder.com - Placeholder.com generates custom placeholder images on the fly.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application