Software Alternatives, Accelerators & Startups

OpenRoads Designer VS Plotly

Compare OpenRoads Designer VS Plotly and see what are their differences

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OpenRoads Designer logo OpenRoads Designer

A detailed design application for roadway, surveying, drainage, and subsurface utilities that supersede capabilities previously delivered by InRoads and GEOPAK

Plotly logo Plotly

Low-Code Data Apps
  • OpenRoads Designer Landing page
    Landing page //
    2023-01-17
  • Plotly Landing page
    Landing page //
    2023-07-31

OpenRoads Designer features and specs

  • Comprehensive Toolset
    OpenRoads Designer provides a complete set of tools for surveying, drainage, utilities, and roadway design. This makes the software versatile and useful for various civil infrastructure projects.
  • Integration Capabilities
    The software can easily integrate with Bentley's ProjectWise and other platforms, which facilitates collaboration and data management across different project teams.
  • High Quality Visualizations
    OpenRoads Designer offers advanced visualization features including 3D modeling and rendering, helping engineers and stakeholders better understand the project and make informed decisions.
  • Geospatial Intelligence
    The platform supports the use of geographic information systems (GIS), allowing for terrain and location data to be incorporated into the design process, which is crucial for civil projects.
  • Automated Workflows
    OpenRoads Designer includes automation features that can streamline repetitive tasks and improve efficiency, allowing engineers to focus on more complex design aspects.

Possible disadvantages of OpenRoads Designer

  • Steep Learning Curve
    Due to the comprehensive and feature-rich nature of OpenRoads Designer, new users may find it complex and challenging to learn initially, requiring substantial training and time investment.
  • Cost
    The software can be expensive, especially for small firms or individual engineers. The licensing costs can add up, making it a significant investment.
  • System Requirements
    OpenRoads Designer has high system requirements for optimal performance, necessitating investment in powerful hardware which can be an additional cost burden.
  • Interoperability Issues
    While the software integrates well with Bentley products, users may face difficulties when trying to work with files and data from other software platforms, leading to potential workflow disruptions.
  • Overwhelming Features
    The extensive features and tools can be overwhelming and may lead to feature fatigue, where the users have difficulty navigating and utilizing the software to its full potential.

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 OpenRoads Designer

Overall verdict

  • OpenRoads Designer is considered a strong choice for infrastructure design projects, particularly in the transportation sector. Its robust feature set and integration capabilities make it a valuable tool for professionals in the field. However, like any software, it may have a learning curve and requires appropriate training for optimal use.

Why this product is good

  • OpenRoads Designer by Bentley is widely regarded as a good software for civil engineering projects due to its advanced capabilities in designing, analyzing, and modeling transportation infrastructure. It offers comprehensive tools for roadway design, drainage, subsurface utilities, and bridge modeling, supported by powerful data management and integrated visualization options. Its compatibility with various data formats and user-friendly interface further enhances its utility in complex projects.

Recommended for

  • Civil engineers working on transportation infrastructure projects
  • Designers and planners involved in roadway and highway design
  • Consulting firms that require advanced civil design capabilities
  • Departments of transportation and local government agencies
  • Educational institutions offering civil engineering and design courses

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.

OpenRoads Designer videos

OpenRoads Designer Review Borehole Data from gINT

More videos:

  • Review - OpenRoads Designer Review 3D Borehole and Stratum Surface
  • Review - Curso de OpenRoads Designer

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

Category Popularity

0-100% (relative to OpenRoads Designer and Plotly)
3D
100 100%
0% 0
Data Visualization
0 0%
100% 100
CAD
100 100%
0% 0
Charting Libraries
0 0%
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 OpenRoads Designer and Plotly

OpenRoads Designer Reviews

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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.
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 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.

Social recommendations and mentions

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.

OpenRoads Designer mentions (0)

We have not tracked any mentions of OpenRoads Designer yet. Tracking of OpenRoads Designer recommendations started around Mar 2021.

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 / 4 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
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What are some alternatives?

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

Civil 3D - Civil 3D supports BIM for civil engineering design and documentation for rail, roads, land development, airports, water and wastewater, and civil structures.

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.

AutoTURN - AutoTURN is used to confidently analyze road and site design projects including intersections, roundabouts, bus terminals, loading bays, parking lots or any on/off-street assignments involving vehicle access checks, clearances, and swept path maneuvโ€ฆ

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

Site3D - Site3D is a fully featured software product for the engineering design of road systems, roundabouts, residential developments and earthworks.

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.