
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Mapstr
Foursquare
Tripomatic Maps
Google Maps
Yelp
Tripadvisor
Conquer.Earth
Mapiful
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.
Based on our record, Plotly should be more popular than Mapstr. It has been mentiond 34 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.
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 / 6 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 / almost 2 years 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
A friend told me about Mapstr, which seems like exactly what you’re looking for! https://mapstr.com/. Source: about 3 years ago
Is there any way to export Google Maps favourite places so that I can import them in Mapstr? Source: over 3 years ago
I built an app for this previously but never pursued it as gaining market traction was too expensive. Basically a map based instagram. There is a French app called Mapstr that is along these lines too https://mapstr.com/. Source: over 3 years ago
For example, take a look at https://mapstr.com. I tried to use it, but it is bloated. Source: over 4 years ago
If you are the sort of person who likes custom maps of places you like to visit. You definitely need mapstr in your life. Check it out, I love it. https://mapstr.com. Source: about 5 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.
Foursquare - Foursquare is all about helping you find new ways to explore your city.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Tripomatic Maps - The world's first online maps designed for travelers
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.
Google Maps - Find local businesses, view maps and get driving directions in Google Maps.