Software Alternatives & Startups

Supernotes VS Plotly

Compare Supernotes VS Plotly 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.

Supernotes logo Supernotes

The fastest way to take notes and collaborate with friends. Create notecards with Markdown, LaTeX, images, emojis and more. Get started for free!

Plotly logo Plotly

Low-Code Data Apps
  • Supernotes Landing page
    Landing page //
    2022-02-13

Supernotes is a new way to create notes and collaborate with your friends. Quickly create note-cards with diverse content from task lists to maths equations, with full markdown and LaTeX support. You can tag your cards, find relevant keywords, and sort your cards in an instant. Each and every note-card can be immediately shared, commented on, or collaboratively edited, allowing you to keep all your learning organised, even when working together.

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

Supernotes

$ Details
freemium
Platforms
Windows Mac OSX Linux Android iOS Web
Release Date
2019 October
Startup details
Country
United Kingdom

Supernotes features and specs

  • Clean UI
  • Responsive Design
  • Categories
  • Importing
  • Markdown

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 Supernotes

Overall verdict

  • Yes, Supernotes is considered a good application for individuals and teams looking for a streamlined and collaborative note-taking experience.

Why this product is good

  • Supernotes is well-regarded for its minimalist and intuitive interface, which supports efficient note-taking and collaboration. The platform allows for quick creation and organization of notes using a card-based system, promoting better information retention and accessibility. Real-time collaboration and markdown support are additional features that users find beneficial.

Recommended for

  • Students who need a platform for organizing class notes.
  • Professionals looking for a collaborative note-taking tool for team projects.
  • Individuals who prefer a clean and efficient interface for personal note management.

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.

Supernotes videos

Supernotes | The new collaborative note-taking app

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 Supernotes and Plotly)
Productivity
100 100%
0% 0
Data Visualization
0 0%
100% 100
Note Taking
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using Supernotes and Plotly. 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 Supernotes and Plotly

Supernotes Reviews

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

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 should be more popular than Supernotes. 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.

Supernotes mentions (22)

  • SN Pro – a free, open-source font designed for Markdown
    Hey everyone, OP (Tobias) here. We're excited to release SN Pro today, a friendly new typeface that's open source and free for both personal and commercial use. We've carefully re-designed each character, improving support for Markdown and ligatures. For a detailed breakdown of our design process, check out the link [1]. Throughout the development of our app[2] over the past few years, my co-founder Connor and I... - Source: Hacker News / over 2 years ago
  • Supernotes App: Get 20 free cards when you sign up using referal code
    Want to try a new way to take notes? Join me on Supernotes, and use my code `xkQEcM` to get 20 extra cards after you sign up. https://supernotes.app. Source: over 3 years ago
  • Ask HN: Why are there no good note taking apps
    Note-taking app [1] founder here. This is a question I hear almost every day, and there's a good reason for that. Note-taking is personal. Everyone wants a note-taking app with just the right features for their personal workflow – whether it's open source, end-to-end encrypted, has handwriting support etc. That's also one of the reasons why the note-taking app and personal knowledge management app market is so... - Source: Hacker News / over 4 years ago
  • Stripe Open Sources Markdoc
    For my startup[1] which is built around Markdown notecards we've been using markdown-it for Markdown parsing and so far I've written a couple of extensions for it and haven't had many issues. [1] https://supernotes.app. - Source: Hacker News / over 4 years ago
  • Inkdrop: Organizing your Markdown notes made simple
    Let's add https://supernotes.app/ to the list right away. :p. - Source: Hacker News / over 4 years ago
View more

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 / 6 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!🤓
    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 / almost 2 years 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

What are some alternatives?

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

Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.

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.

Obsidian - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.

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

Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.

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.