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Minimal Notion Icons VS Plotly

Compare Minimal Notion Icons VS Plotly and see what are their differences

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Minimal Notion Icons logo Minimal Notion Icons

Take your Notion notes to the next level.

Plotly logo Plotly

Low-Code Data Apps
  • Minimal Notion Icons Landing page
    Landing page //
    2022-04-27
  • Plotly Landing page
    Landing page //
    2023-07-31

Minimal Notion Icons features and specs

  • Aesthetic Appeal
    Minimal Notion Icons offer a clean and modern design that enhances the visual appeal of a workspace. Their simplicity can contribute to a more organized and professional look.
  • Customizability
    These icons can be customized to better fit individual needs and preferences, allowing users to tailor their Notion workspace to their personal style.
  • Consistency
    Having a uniform set of icons maintains consistency across projects and documents, which can improve navigation and user experience within Notion.
  • Enhanced Focus
    Minimal icons help in reducing visual clutter, which can enhance focus and productivity by allowing users to concentrate on content rather than being distracted by complex graphics.

Possible disadvantages of Minimal Notion Icons

  • Limited Variety
    While minimalistic, the icons may not cover every possible category or need, limiting users who require more specific or varied visual representations.
  • Requires Purchase
    Accessing a high-quality set of minimal icons typically involves a cost, which might be a downside for users looking for free resources.
  • Simplicity Over Detail
    The minimal nature of the icons may not convey enough detail for complex ideas or categories, potentially leading to a loss of nuance in representation.
  • Compatibility
    Some users may find that these icons do not integrate as seamlessly with other tools or platforms outside of Notion, reducing cross-platform usability.

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 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.

Minimal Notion Icons videos

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Plotly videos

+ Add

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 Minimal Notion Icons and Plotly)

Minimal Notion Icons

Plotly

Productivity
100 100%
Productivity
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Design Tools
100 100%
Design Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Minimal Notion Icons and Plotly

Minimal Notion Icons Reviews

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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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Minimal Notion Icons mentions (0)

We have not tracked any mentions of Minimal Notion Icons yet. Tracking of Minimal Notion Icons recommendations started around Apr 2022.

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 / 3 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 / 5 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 / about 1 year 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 Minimal Notion Icons and Plotly, you can also consider the following products

Notion Icons - Create a more vibrant and modern workspace

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.

Notion Automations - Automate your Notion workflows with Zapier

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

Noticons - Find aesthetic icons for Notion, customize them and add them to notion with one click.Change the color and background.Add them to Notion in one click.100% free.

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

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