Software Alternatives, Accelerators & Startups

Vectary VS Plotly

Compare Vectary VS Plotly and see what are their differences

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Vectary logo Vectary

Vectary is a free, online 3D modeling tool and sharing platform.

Plotly logo Plotly

Low-Code Data Apps
  • Vectary Landing page
    Landing page //
    2023-08-24
  • Plotly Landing page
    Landing page //
    2023-07-31

Vectary

$ Details
freemium $12.0 / Monthly (Pro)
Platforms
Browser Web Google Chrome Android iOS Windows Mac OSX Firefox Linux Safari Cloud iPhone Wordpress Chrome OS Shopify Magento WooCommerce BigCommerce Squarespace Wix Weebly

Vectary features and specs

  • User-Friendly Interface
    Vectary offers a highly intuitive and easy-to-navigate interface, which makes it accessible for beginners as well as advanced users looking to quickly prototype designs.
  • Cloud-Based
    Being cloud-based means that you can access your designs from anywhere and on any device, provided you have an internet connection.
  • Collaboration Tools
    Vectary includes real-time collaboration features, allowing multiple users to work on the same project simultaneously, which is beneficial for team projects.
  • Compatibility
    Supports a variety of file formats and offers integrations with other design tools, making it a versatile option for designers working across different platforms.
  • No Installation Required
    As a web-based application, Vectary requires no installation, saving disk space and reducing the time needed to get started.

Possible disadvantages of Vectary

  • Internet Dependency
    Since it is cloud-based, a stable internet connection is required for optimal performance, which could be a limitation in areas with poor connectivity.
  • Limited Advanced Features
    While Vectary is great for quick prototyping and basic 3D modeling, it might lack some advanced features that professional 3D designers require.
  • Subscription Costs
    Though offering a free version, advanced features and higher storage options come with subscription fees, which might be a deterrent for some users.
  • Performance Issues
    The performance might lag with complex models and large projects, especially on lower-end hardware or with slow internet connections.
  • Privacy Concerns
    Since it is cloud-based, there could be concerns regarding the privacy and security of the uploaded designs, especially for sensitive or proprietary projects.

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.

Vectary videos

Easy 3D For Designers With Vectary (Review)

More videos:

  • Demo - Vectary Web AR Demo
  • Review - Vectary - A 3D Design Tool that UI Designers can Understand!

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 Vectary and Plotly)
3D
100 100%
0% 0
Data Visualization
0 0%
100% 100
Architecture
100 100%
0% 0
Data Dashboard
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 Vectary and Plotly

Vectary Reviews

We have no reviews of Vectary 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.
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 a lot more popular than Vectary. While we know about 33 links to Plotly, we've tracked only 2 mentions of Vectary. 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.

Vectary mentions (2)

  • I made a 3D editor that models in pure CSS+HTML
    It's just a cool tech demo that pushes CSS to its limits, but it's completely useless if you want to create usable 3d models. If you want to model in the browser, you can check out vectary, playcanvas, or spline. Source: about 2 years ago
  • I made a rack for my bit holder cartridges so I can insert it into my custom bits and driver tool set
    Yes, it says "A nice 3D render" in the caption. I rendered it on vectary.com. It's a pretty cool tool if you don't have fancy 3D software on your computer. Source: about 4 years ago

Plotly mentions (33)

  • 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 / about 2 months 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 / 4 months 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 / 6 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Sketchfab - Sketchfab is an industrial design software tool is useful for ideation and for beginners in the industrial design field.

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.

Zakeke - Zakeke is an all-in-one Visual Commerce Platform that empowers eCommerce businesses with live product customization, advanced 3D visualization, immersive Augmented Reality and Virtual Try-On.

Chart.js - Easy, object oriented client side graphs for designers and developers.

ThreeKit - Threekit's product configurator enables you to visualize products in photorealistic 2D, 3D and augmented reality, all from a single design file.

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