Plotly 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.
No Open Peeps videos yet. You could help us improve this page by suggesting one.
Based on our record, Plotly seems to be a lot more popular than Open Peeps. While we know about 33 links to Plotly, we've tracked only 3 mentions of Open Peeps. 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.
Text heavy images.. Are quite text heavy 😅. Have you considered using a minimal graphic on each image to sort of depict the story/emotion of the post. It might help break up the feed also. It could be a small graphic that sits inside your image frame, between the text. See here for some examples of free image/doodle generator tools: https://doodleipsum.com, opendoodles.com, https://openpeeps.com. Source: over 2 years ago
✨ 16. Open Peeps A hand-drawn illustration library. - Source: dev.to / almost 3 years ago
Hi, thanks! But I just found out that it's not this person but Pablo Stanley who created these resources in the CC0 domain. Here's a link to follow his generous project: https://openpeeps.com/. Source: about 3 years 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 / 2 months 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 / 5 months 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 / 6 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
Humaaans - Mix-&-match illustrations of humans with a design library.
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.
Control Illustrations - 108 free flat illustrations with customizable characters
Chart.js - Easy, object oriented client side graphs for designers and developers.
Blush - Illustrations for everyone
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...