Software Alternatives, Accelerators & Startups

Plotly VS Supasnap

Compare Plotly VS Supasnap and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Supasnap logo Supasnap

Beautify your screenshots instantly.
  • Plotly Landing page
    Landing page //
    2023-07-31
Not present

Supasnap is a super quick and easy web tool to create and make screenshots less boring and give them a cooler touch. Crafted especially for indie hackers and entrepreneurs seeking stunning visuals to narrate their journey. No registration required, no installs.

โœ… How it works: 1) Capture, Upload or Paste an screenshot 2) Personalize your background, paddings, borders, shadows and add annotations 3) Save, Export to Image or Copy to Clipboard 4) Share your design on your preferred social platforms.

โญ๏ธ Key Features - Capture: Capture any window, tab, or screen of your computer. - Position: Tailor the position of your capture. - Margins and Spaces: Fine-tune the margins and spaces. - Shadow: Add a shadow and personalize its color, blur, offset x, and offset y. - Background: Jazz up your capture with solid colors, gradients, or images. - Rounded edges: Round off the edges for a sleek look. - Border: Frame your capture with a stylish border. - Aspect ratio: Optimize your capture for any social media platform. - Browser mockup: Add a browser mockup with light or dark mode. - Annotations: Add annotations like boxes, circles, lines, arrows, text, emojis or freehand drawings. - Export: Export your design in various formats (JPG, PNG, WEBP and Copy to Clipboard). - Save: Save your designs for future editing sessions. - Share: Share directly on your socials. - Fully private: Supasnap runs 100% locally in your browser. We only keep your snap on our server when you save it.

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.

Supasnap features and specs

  • Ease of Use
    Supasnap offers a user-friendly interface that's easy to navigate, making it accessible for users of all experience levels.
  • Fast Performance
    The platform is optimized for quick photo sharing, ensuring that photos are uploaded and shared rapidly without delays.
  • High-Quality Photos
    Supasnap supports high-resolution photos, ensuring that users can share images with excellent clarity and detail.
  • Privacy Control
    Users have the ability to control who can view and download their photos, which enhances privacy and security.

Possible disadvantages of Supasnap

  • Limited Editing Tools
    Supasnap lacks advanced photo-editing features, which may be a drawback for users who want to edit photos directly within the app.
  • Subscription Costs
    Some features of Supasnap may require a paid subscription, which might be a consideration for budget-conscious users.
  • Platform Restriction
    Currently, Supasnap may not be available on all platforms, limiting access for some users depending on their device or operating system.
  • Storage Limitation
    Free accounts may have restrictions on the amount of storage space available, necessitating a subscription for additional space.

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.

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

Supasnap videos

SupaSnaps Advert (1991)

Category Popularity

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

User comments

Share your experience with using Plotly and Supasnap. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Supasnap

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.

Supasnap Reviews

We have no reviews of Supasnap yet.
Be the first one to post

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.

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
View more

Supasnap mentions (0)

We have not tracked any mentions of Supasnap yet. Tracking of Supasnap recommendations started around Nov 2023.

What are some alternatives?

When comparing Plotly and Supasnap, 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.

BrandBird - Brand your Twitter content uniquely

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

Xnapper - Take beautiful screenshots instantly

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.

Shottr - Shottr is a free macOS screenshot app with scrolling screenshots, OCR, annotation and measurement instruments.