Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Tripomatic
Wanderlog
TripIt
Roadtrippers
Tripsy
DESTIGOGO
Nomads.com
Tripadvisor
Tripomatic is a trip planning app that helps users create personalized travel itineraries, discover attractions, and organize their trips seamlessly.
Plotly
TripomaticPlotly 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 Tripomatic. While we know about 34 links to Plotly, we've tracked only 1 mention of Tripomatic. 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 / 4 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
I've been using Sygic Travel from the Czech Republic and really like it. It doesn't use Google Maps, but you just press the location on the map, click add, then it autosorts to give you an optimized itinerary (like yours does) and spits out the itinerary. I think your biggest issue is being cost competitive. I paid $7.99 once for Sygic Premium (I think it's $9.99 now), so $19.99/month is an entire tier higher in... Source: almost 4 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.
Wanderlog - Collaborative travel planner with combined itinerary and map
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
TripIt - TripIt is a travel app that creates a master itinerary to organize all of your plans for your vacation or work trip in one spot.
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.
Roadtrippers - The ultimate road trip planner to help you discover extraordinary places, book hotels, and share itineraries all from the map.