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Plotaroute VS Plotly

Compare Plotaroute VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotaroute logo Plotaroute

Plotaroute is an application that enables you to plan an accurate and powerful outdoor route.

Plotly logo Plotly

Low-Code Data Apps
  • Plotaroute Landing page
    Landing page //
    2022-02-19
  • Plotly Landing page
    Landing page //
    2023-07-31

Plotaroute features and specs

  • User-Friendly Interface
    Plotaroute offers an intuitive and easy-to-navigate interface, making it accessible for users of all experience levels to plan routes effectively.
  • Comprehensive Route Planning
    The platform provides a wide range of options for creating and customizing routes, including elevation profiles and different map views, catering to various activities such as running, cycling, and walking.
  • Route Sharing and Export
    Users can easily share routes or export them in different formats for use with GPS devices or other applications, enhancing the platform's versatility.
  • Community Features
    Plotaroute allows users to discover routes created by others, fostering a community of route-sharing enthusiasts and providing inspiration for new routes.

Possible disadvantages of Plotaroute

  • Limited Free Features
    The free version of Plotaroute has limited features, which may require users to upgrade to a paid subscription to access more advanced functionalities.
  • Occasional Performance Issues
    Some users report that the platform can experience slow loading times or glitches, especially when dealing with complex or long routes.
  • Dependency on Internet Connection
    Plotaroute is a web-based tool, which means that users must have a stable internet connection to utilize its features, potentially limiting access in remote areas.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    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.

Plotaroute videos

+ Add

plotaroute.com - Quick Start Tutorial

More videos:

  • Tutorial - plotaroute.com - Editing Routes Tutorial
  • Tutorial - plotaroute.com - Make Me A Route Tutorial

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Plotaroute and Plotly)

Plotaroute

Plotly

Travel & Location
100 100%
Travel & Location
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Maps
100 100%
Maps
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotaroute and Plotly

Plotaroute Reviews

We have no reviews of Plotaroute yet.
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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Plotaroute. 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.

Plotaroute mentions (16)

  • Technical question: Is there a GPX editor software (or web-service) that has functionality to export a track file with automatically added "turn after turn" notifications?
    The track in the picture was exported from gpsies, then imported into plotaroute.com Thanks! Source: almost 4 years ago
  • How do you plan and train for long runs?
    My watch is a basic Garmin Forerunner 35 with my map functionality or turn/directions capability. If I'm running somewhere new (somewhere I need to drive to or in a different city) I'll occasionally use plotaroute.com to plot my route and either write the turns down on a small piece of paper I'll carry and glance at periodically or download the GPX file and upload it to use in the rungo app. That app gives audible... Source: almost 4 years ago
  • iwtl how to run a 12 min mile
    2: work towards walking ~2 miles in those 30 minutes (see plotaroute.com or strava to find distance). Consider adding 1-3x per week strength training, such as the minimal routine at r/bodyweightfitness. Source: almost 4 years ago
  • Apps to plan hiking/trail running routes to follow with a smartwatch (Garmin Fenix)
    In other post I've been sugested to use plotaroute.com and I'm really liking it, a lot. Source: about 4 years ago
  • GPS accuracy
    Short of using a physical tool to measure the route, your best option is to use an online tool like plotaroute.com to plot the route you took. Hopefully one of the apps is consistently more accurate than the other. Different apps on the same phone may indicate slightly (or significantly) different routes. That's because of differences in how each app gathers GPS coordinates at different times and frequencies, how... Source: about 4 years ago
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Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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
  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
View more

What are some alternatives?

When comparing Plotaroute and Plotly, you can also consider the following products

Hiking Project - Better Data. Better Maps. Better Hikes

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.

Trekarta - Trekarta is an application that is designed for travelers, hikers, and tourists to provide guidelines related to hiking, off-roading, boating, cycling, geocaching, and all the activities related to the outdoors.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

PeakVisor - Your private mountain guide

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.

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