Software Alternatives, Accelerators & Startups

Solid Edge VS Plotly

Compare Solid Edge VS Plotly 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.

Solid Edge logo Solid Edge

Solid Edge is an industry-leading mechanical design system with exceptional tools for creating and...

Plotly logo Plotly

Low-Code Data Apps
  • Solid Edge Landing page
    Landing page //
    2023-04-28
  • Plotly Landing page
    Landing page //
    2023-07-31

Solid Edge features and specs

  • Comprehensive Feature Set
    Solid Edge offers a broad array of tools and functionalities including 3D CAD, simulation, electrical design, and manufacturing, catering to a variety of industrial needs.
  • Synchronous Technology
    The Synchronous Technology allows for faster design changes by combining the speed and simplicity of direct modeling with the flexibility and control of parametric design.
  • Scalability
    Solid Edge can be used by companies of different sizes, from small startups to large enterprises, making it a versatile tool suitable for a growing business.
  • Integrated Data Management
    The software includes built-in data management tools that help in organizing and managing complex product data efficiently.
  • High-Quality Rendering
    Solid Edge delivers high-quality rendering capabilities, which can be crucial for marketing presentations as well as internal reviews.

Possible disadvantages of Solid Edge

  • Learning Curve
    Solid Edge has a steep learning curve, particularly for users who are not familiar with CAD software or the specific functionalities it offers.
  • Cost
    The licensing and subscription costs can be high, which might not be feasible for very small businesses or individual freelancers.
  • System Requirements
    The software requires a high-performance system to run efficiently, which can mean additional hardware investment.
  • Complex Interface
    The extensive range of tools and options can make the user interface appear cluttered and complicated, which might overwhelm new users.
  • Third-Party Integration
    Although Solid Edge supports various industry standards, integration with third-party applications can sometimes be cumbersome and may require additional configuration.

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 Solid Edge

Overall verdict

  • Solid Edge is considered a strong choice for CAD software, particularly for engineering and manufacturing sectors. Its combination of powerful features and user-friendly design makes it a highly regarded tool in the market.

Why this product is good

  • Solid Edge is a professional CAD software developed by Siemens that offers an array of features such as synchronous technology for rapid design changes, comprehensive 3D modeling, and engineering simulation capabilities. It is well-respected for its user-friendly interface, robust design tools, compatibility with other Siemens PLM solutions, and strong support for collaboration and data management. It also includes features for sheet metal design, assembly modeling, and advanced rendering which make it suitable for a variety of industries.

Recommended for

    Solid Edge is recommended for professional engineers, designers, and companies in the automotive, aerospace, industrial machinery, and consumer products industries looking for a comprehensive CAD solution with strong simulation and data management capabilities.

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.

Solid Edge videos

Introducing Solid Edge ST8

More videos:

  • Demo - Solid Edge Drawing Review Demo
  • Review - Solid Edge V20: Drawing Review

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 Solid Edge and Plotly)
3D
100 100%
0% 0
Data Visualization
0 0%
100% 100
Numerical Computation
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 Solid Edge and Plotly

Solid Edge 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 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.

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.

Solid Edge mentions (0)

We have not tracked any mentions of Solid Edge yet. Tracking of Solid Edge 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 / 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
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What are some alternatives?

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

Inventor - Inventor is a 3D CAD software that lets you quickly create 3D models with embedded intelligence, intuitive workflows, and optimized performance.

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.

Autodesk Fusion 360 - Integrated CAD, CAM, and CAE featuring collaborative editing and cloud-based computation.

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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.