Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Mapme
uMap
Hoodmaps
Google Maps
Mapbox
MapJam
MapHub
Felt
Mapme is a no-code interactive mapping platform that helps teams turn location-based data into dynamic, shareable visual experiences. It allows organizations to centrally manage places, listings, projects, and geographic datasets while adding rich media, filters, categories, and branded content to each location.
The platform supports:
Drag-and-drop map creation and styling
Bulk data import via CSV or Google Sheets
Custom categories, filters, and markers
Website embedding and link sharing
Rich media including images, videos, and documents
Engagement analytics
Mapme is used across industries including real estate, economic development, business directories, retail networks, campuses, portfolios, and project showcases — enabling organizations to present geographic information clearly, interactively, and at scale.
Plotly
MapmePlotly 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 seems to be more popular. 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
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.
uMap - uMap let you create maps with OpenStreetMap layers in a minute and embed them in your site.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Hoodmaps - Crowdsourced neighborhood 🗺 maps to navigate a city 💫
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.