Based on our record, OpenStreetMap should be more popular than Plotly. It has been mentiond 129 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.
You can go to https://openstreetmap.org/ , zoom in and enable the map data layer. From there history is accessible. - Source: Hacker News / over 1 year ago
Hi! I am working on a project mapping bike racks around my city on OpenStreetMap. One of the attributes that I tag is the rack's capacity, but I haven't come to a conclusion about the capacity of these wave-shaped racks:. Source: over 1 year ago
I need the bounding boxes of all adminstrative units in a specific region from the largest (e.g. The state) to the smallest (whatever this is called) including the full name of the district. What I mean by that is what is displayed on openstreetmap.org when I search for e.g. Brooklyn: it will be displayed in the search results as "Brooklyn, Kings County, New York, United States of America" – the names joined from... Source: over 1 year ago
It's OpenStreetMap (ODbL) and Natural Earth (public domain) currently * http://openstreetmap.org * http://naturalearthdata.com. - Source: Hacker News / over 1 year ago
Pikmin Bloom sources Decor locations from OpenStreetMap, it’s not always 100%, but it’s close enough. Source: over 1 year 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 / about 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 / 4 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 / 5 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 / 11 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
Google Maps - Find local businesses, view maps and get driving directions in Google Maps.
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.
OsmAnd - Global mobile map viewing and navigation for online and offline OSM maps
Chart.js - Easy, object oriented client side graphs for designers and developers.
Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application