Software Alternatives, Accelerators & Startups

Plotly VS City Roads

Compare Plotly VS City Roads and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

City Roads logo City Roads

This website allows you to select a city and then draws every single road on a screen.
  • Plotly Landing page
    Landing page //
    2023-07-31
Not present

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.

City Roads features and specs

  • Visual Representation
    City Roads provides a clean, visual representation of a city's road network using data from OpenStreetMap, allowing users to explore the layout and connectivity of different urban areas.
  • Customization
    Users can customize the appearance of the map by choosing different city views, which makes the tool flexible for various presentation and analysis needs.
  • Ease of Use
    The interface is intuitive, making it easy for anyone to generate and view a city's road layout without requiring technical expertise or additional software installation.
  • Open Source
    Being an open-source project, City Roads encourages community contributions and improvements, fostering innovation and collaboration among users and developers.
  • Free Access
    City Roads is available for free, making it accessible to users worldwide without any cost barriers, whether for personal, educational, or professional use.

Possible disadvantages of City Roads

  • Data Limitations
    The quality and accuracy of the maps depend on OpenStreetMap data, which may not always be up-to-date or completely accurate for all cities.
  • Feature Limitations
    The tool primarily focuses on road layouts, lacking additional geographic features or context such as land use, population density, or transit routes.
  • Performance Issues
    Rendering complex road networks for large cities can be resource-intensive and may lead to performance issues, especially on devices with lower processing power.
  • Limited Interactivity
    City Roads offers limited interactivity beyond basic map viewing, which might not meet the needs of users looking for in-depth data analysis or interactive features.
  • Dependency on Internet
    As a web-based tool, it requires an internet connection to access and use, which may limit its utility in areas with poor connectivity.

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.

Plotly videos

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

City Roads videos

Ipoh city roads review travel malaysia

Category Popularity

0-100% (relative to Plotly and City Roads)
Data Visualization
100 100%
0% 0
Maps
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Image Generator
0 0%
100% 100

User comments

Share your experience with using Plotly and City Roads. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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.
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...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’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.

City Roads Reviews

We have no reviews of City Roads yet.
Be the first one to post

Social recommendations and mentions

Plotly might be a bit more popular than City Roads. We know about 34 links to it since March 2021 and only 24 links to City Roads. 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.

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 / 6 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!🤓
    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
  • 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

City Roads mentions (24)

  • Why is it so hard to just get a styled SVG map?
    For anyone who lands here from Google: just use the QGIS. Or use https://anvaka.github.io/city-roads if you just need a map like mine. Source: almost 3 years ago
  • [OC] I made a map of GitHub. It lets you find related projects with ease
    You previously made a tool for visualising all roads in a city that I like a lot. Source: over 3 years ago
  • Generate Gcode form complex SVG
    Hey, I am trying to generate G code for my 3D printer that I converted to a plotter. For now I tried only modest SVG and using Inkscape with GcodeTools has been super convenient. However Now I wanna do something a bit more complicated, I am trying to use the svg outputted by City Roads to plot a map of a city. It's quite a complicated model so everytime I try converting it GcodeTools crashes. Is there any... Source: over 3 years ago
  • does anyone know a good website/program I can use to make a city map?
    Render all of a city's roads at once. https://anvaka.github.io/city-roads/. Source: almost 4 years ago
  • Is there a visualizer website out there that shows all related companies related to company X? Within an industry or keyword(s)?
    Came across a website like anvaka that visualizes all the roads in a given city. Is there something like this, a visual roadmap of related companies related to source company? Source: almost 4 years ago
View more

What are some alternatives?

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

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.

Mapiful - Create & order custom printed maps of your favorite places

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

Craft & Oak - Beautiful, minimalistic custom map posters

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.

Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.