Software Alternatives, Accelerators & Startups

Plotly VS Previewed

Compare Plotly VS Previewed 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.

Plotly logo Plotly

Low-Code Data Apps

Previewed logo Previewed

Beautiful mockups & graphics for your next app
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Previewed Landing page
    Landing page //
    2022-05-05

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.

Previewed features and specs

  • User-Friendly Interface
    Previewed offers an intuitive and easy-to-navigate interface that makes it accessible for users of all skill levels.
  • Wide Range of Templates
    The platform provides a diverse selection of templates suitable for various device mockups, enhancing the flexibility for different project needs.
  • Customizable Elements
    Users can easily customize templates and elements, allowing for a high degree of personalization and creativity.
  • Cloud-Based
    Being cloud-based, Previewed eliminates the need for local installations, making it convenient to use from any device with internet access.
  • Performance and Speed
    The application performs efficiently and quickly, reducing downtime and speeding up the mockup creation process.
  • Regular Updates
    The platform frequently updates with new features and templates, ensuring that users always have access to the latest tools.

Possible disadvantages of Previewed

  • Limited Free Access
    While Previewed offers free features, some advanced functionalities and premium templates are behind a paywall.
  • Internet Dependency
    Since Previewed is cloud-based, an active internet connection is required to use the platform, which can be a limitation in areas with poor connectivity.
  • Template Saturation
    Given the popularity of some templates, there's a possibility of many users ending up with similar-looking mockups.
  • Learning Curve for Advanced Features
    While the basic functions are user-friendly, there may be a learning curve associated with mastering some of the more advanced features.
  • Export Limitations
    Some users may find limitations in export options or require higher resolution exports, which might be restricted or require a premium subscription.

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.

Analysis of Previewed

Overall verdict

  • Previewed (previewed.app) is a useful tool for creating professional-quality app mockups and marketing materials.

Why this product is good

  • User-Friendly Interface: Previewed offers an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced users.
  • High-Quality Templates: The platform provides a range of high-quality, customizable templates for creating app mockups for various devices.
  • Time Efficiency: Previewed allows users to rapidly create marketing visuals without the need for advanced design skills or software.
  • Versatility: It supports a wide array of app types and devices, which makes it versatile for different marketing needs.

Recommended for

  • App Developers: Ideal for developers who want to showcase their apps in a visually appealing manner.
  • Designers: Useful for designers looking for a quick way to create mockup presentations for clients.
  • Marketers: Beneficial for marketing teams to create promotional content for apps efficiently.
  • Startups: Suitable for startups or small businesses that need professional-looking materials without investing heavily in design resources.

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

Previewed videos

No Previewed videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Previewed)
Data Visualization
100 100%
0% 0
Design Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Mockups
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 Plotly and Previewed

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.

Previewed Reviews

We have no reviews of Previewed yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than Previewed. 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.

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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Previewed mentions (19)

  • Deploy Your Flutter Android App to Play Store in 2026: Step-by-Step Guide (With Code & Gotchas)
    Add text overlays with App Mockup or Previewed. - Source: dev.to / 7 months ago
  • What cool tools are you using?
    I was going through some Medium posts and Reddit posts and I found some cools tools being used such as https://previewed.app/ and https://jitter.video/ that I will definitely be using in the future. Source: almost 3 years ago
  • Iphone mockup over background video
    Insert a background video. Youโ€™ll have to custom size it. For the video itself use https://previewed.app. Source: over 4 years ago
  • Deviceframes.com - 3D Device Art for your projects (Project 1/2)
    Creator of Previewed here. This project looks very similar to our 3D component. Can you please check your DMs? Source: almost 5 years ago
  • My First App
    I think we used: https://previewed.app/ (didn't make them so can't say for sure) and normal screenshots. Source: almost 5 years ago
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What are some alternatives?

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

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.

Rotato 100 - Present your design in stunning 3D on the web, slide decks, app stores, social media, and more.

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

AppScreens - AppScreens turns real app screens into polished, localized, store-ready App Store and Google Play screenshots from one editable project.

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.

AppLaunchpad - Create stunning app store screenshots & mockups