Route4Me
OptimoRoute
Circuit Route Planner
Onfleet
Routific
RouteXL
Flightmap
Locus Dispatcher
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Route4Me
PlotlyRoute4Me is particularly recommended for delivery and logistics companies, field service businesses, and anyone managing mobile workforces. It's well-suited for organizations that require detailed route planning, real-time visibility, and integration with other business systems.
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 seems to be a lot more popular than Route4Me. While we know about 34 links to Plotly, we've tracked only 1 mention of Route4Me. 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.
Only thing I've found is route4me.com, which isn't free. It looks like Waze may have had it as an option, but no longer does. Source: about 5 years ago
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 / 5 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 / over 1 year 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
OptimoRoute - OptimoRoute system helps companies plan efficient routes and schedules for delivery drivers and...
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.
Circuit Route Planner - Get routes that work, stop sitting in traffic, and find addresses fast with Circuit Route Planner โ the route optimization app for delivery drivers. Make sure you finish work early every day.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Onfleet - Onfleet's delivery management software simplifies your local deliveries from start to finish, allowing you to focus more on what really matters.
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.