Software Alternatives, Accelerators & Startups

ThingWorx VS Plotly

Compare ThingWorx VS Plotly and see what are their differences

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ThingWorx logo ThingWorx

ThingWorx is a complete development platform for Internet of Things.

Plotly logo Plotly

Low-Code Data Apps
  • ThingWorx Landing page
    Landing page //
    2023-09-14
  • Plotly Landing page
    Landing page //
    2023-07-31

ThingWorx features and specs

  • Extensive IoT Capabilities
    ThingWorx provides a comprehensive suite of tools to build, deploy, and manage IoT applications, including features for connectivity, device management, analytics, and augmented reality.
  • Rapid Development
    The platform offers a model-based development environment that accelerates the creation of IoT applications, reducing the time-to-market for new solutions.
  • Scalability
    ThingWorx is designed to be highly scalable, supporting a wide range of devices and data inputs, which is critical for large-scale IoT deployments.
  • Integration Capabilities
    The platform supports integration with a variety of enterprise systems (ERP, CRM, etc.) and other IoT devices, enabling a seamless flow of information across the organization.
  • Strong Community and Support
    Backed by PTC, ThingWorx benefits from a robust user community, extensive documentation, and dedicated support services.
  • Analytics and Insights
    ThingWorx comes with built-in analytics capabilities, allowing users to derive actionable insights from their IoT data through advanced analytics and machine learning tools.

Possible disadvantages of ThingWorx

  • Cost
    ThingWorx can be expensive, particularly for small and medium-sized enterprises, due to its licensing and implementation costs.
  • Complexity
    The platform's extensive features and capabilities can introduce a steep learning curve, making it challenging for users without a strong technical background to fully leverage its potential.
  • Customization Limitations
    While ThingWorx is highly customizable, some specific use cases may require custom development, which can add to the implementation time and cost.
  • Dependence on Vendor
    Being a proprietary platform, users are dependent on PTC for updates, support, and any potential changes in pricing or service terms.
  • Integration Challenges
    Despite strong integration capabilities, connecting ThingWorx with legacy systems or non-standard protocols may require additional effort and lead to potential integration challenges.

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 ThingWorx

Overall verdict

  • Yes, ThingWorx is considered a good platform, especially for enterprises looking for a comprehensive IoT solution. Its ability to integrate seamlessly with various devices and systems, coupled with strong support and a wide range of applications, makes it a valuable asset for IoT deployments.

Why this product is good

  • ThingWorx is a leading Industrial Internet of Things (IIoT) platform that offers robust tools and functionalities for building, deploying, and scaling IoT applications. It provides a comprehensive suite of features including real-time data collection and analysis, device connectivity, and application development. ThingWorx is known for its flexibility, scalability, and ease of use, which make it a solid choice for businesses looking to implement IoT solutions.

Recommended for

  • Manufacturers aiming to enhance operational efficiency through IoT.
  • Companies needing scalable IoT solutions.
  • Organizations looking for real-time data analytics and connectivity solutions.
  • Businesses that require rapid IoT application development.

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.

ThingWorx videos

ThingWorx Industrial IoT Platform Overview - LiveWorx 17 FULL SESSION

More videos:

  • Review - Demo of AR Design Review with ThingWorx Navigate
  • Review - ThingWorx Navigate 8.5

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 ThingWorx and Plotly)
IoT Platform
100 100%
0% 0
Data Visualization
0 0%
100% 100
Data Dashboard
60 60%
40% 40
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 ThingWorx and Plotly

ThingWorx Reviews

Open Source Internet of Things (IoT) Platforms
It provides flexibility to access data and IoT from on-premise, off-premise, and from the hybrid environment. Use of ThingWorx will give you increased uptime, reduced costs, role-based visibility & control, and improved compliance.
14 of the Best IoT Platforms to Watch in 2021
From developing your first prototype to building a full-fledged IIoT-scale solution, ThingWorx by PTC is one of the most popular IoT platforms. Its biggest advantage is that all the hard work and programming is confined to the back-end: the front-end users neednโ€™t bother about device connections or individual device status. A drag-and-drop editor alone creates your...

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.

ThingWorx mentions (0)

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

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

Losant - Losant makes building connected experiences and solutions easy.

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.

Hologram.io - Cellular IoT connectivity that powers innovation

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

Cisco Jasper - Jasper provides a SaaS IoT platform to enable companies of all sizes to launch, manage and monetize IoT services on a global scale.

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.