Software Alternatives, Accelerators & Startups

Desygner VS Plotly

Compare Desygner VS Plotly and see what are their differences

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Desygner logo Desygner

Empower yourย teamsย toย create,ย store,ย andย distributeย marketingย materialsย that are always on brand. Equip anyone to become a guided content creator, reducing design bottlenecks, and allowing you to go to market faster.

Plotly logo Plotly

Low-Code Data Apps
  • Desygner Landing page
    Landing page //
    2022-12-08

Desygner Enterprise is a brand management and templating platform that ensures brand consistency across all of your marketing materials. Create designs from thousands of templates, or import from your existing design tools, lock specific elements to enforce brand compliance, and share designs with the teams who need them. Use AI tools to automate content creation, to replace any outdated imagery or text across all of your materials, and to instantly translate designs into different languages. Reclaim control of your brand today!

  • Plotly Landing page
    Landing page //
    2023-07-31

Desygner features and specs

  • User-Friendly Interface
    Desygner offers an intuitive and easy-to-use interface, making it accessible for users with varying levels of design experience.
  • Variety of Templates
    The platform provides a wide array of templates for various design needs, including social media graphics, posters, and business cards.
  • Collaboration Features
    Desygner supports collaboration, allowing multiple users to work on a design project in real-time, facilitating teamwork and productivity.
  • Affordable Pricing
    Compared to other design tools, Desygner offers competitive pricing options, including a free tier with substantial features.
  • Cloud-Based Accessibility
    Being a cloud-based platform, Desygner ensures that users can access their designs from any device with internet connectivity.
  • Custom Branding
    It offers custom branding options, enabling businesses to maintain consistent branding across all their designs.
  • Mobile App Availability
    Desygner has a mobile app, allowing users to create and edit designs on the go, providing greater flexibility.

Possible disadvantages of Desygner

  • Limited Advanced Features
    For professional designers, Desygner might lack some advanced features and tools found in more sophisticated design software.
  • Performance Issues
    Some users have reported performance issues, such as lagging or slow loading times, especially with complex designs.
  • Free Tier Limitations
    While the free tier is useful, it has limitations in terms of available templates and storage, potentially necessitating an upgrade for more resources.
  • Inconsistent Customer Support
    Users have experienced varying levels of responsiveness and effectiveness from Desygner's customer support team.
  • Limited Integrations
    The number of third-party integrations is limited compared to some other design platforms, which might be a drawback for users looking for seamless workflow integration.

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 Desygner

Overall verdict

  • Desygner is a good choice for individuals and businesses seeking an easy-to-use and affordable design tool. It is versatile and offers a decent range of functionalities that suit many design requirements.

Why this product is good

  • Desygner is a graphic design tool that offers a user-friendly interface and a wide variety of templates, making it an accessible option for non-designers. It provides features such as drag-and-drop editing, access to millions of free images, and a range of design elements that cater to different needs, from social media graphics to marketing materials. The platform also supports collaboration, allowing teams to work together on design projects seamlessly.

Recommended for

  • Small business owners looking to create marketing materials without hiring a professional designer.
  • Content creators needing to produce eye-catching visuals for social media platforms.
  • Non-designers who want an intuitive tool to create personal projects like invitations and posters.
  • Teams that require a collaborative platform for working on design projects together.

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.

Desygner videos

Desygner Enterprise Overview

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 Desygner and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Graphic Design Software
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 Desygner and Plotly

Desygner Reviews

12 Best Free PosterMyWall Alternatives and Competitors
We highly suggest using Desygner because itโ€™s super user-friendly, offers great templates and a wide range of fonts for free, and allows you to perform in layers, making your design tasks much easier.
Source: mockey.ai
The Top 10 Alternatives to Marq in 2024
Desygner has received a rating of 4.6 out of 5 stars based on user reviews. Users generally mention the intuitive design and ease of use. Check out more Desygner reviews here.
Source: piktochart.com

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.

Desygner mentions (0)

We have not tracked any mentions of Desygner yet. Tracking of Desygner 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 Desygner and Plotly, you can also consider the following products

Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.

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.

Adobe InDesign - Adobe InDesign is a desktop publishing software application.

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

Sketch - Professional digital design for Mac.

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.