Software Alternatives, Accelerators & Startups

Excalidraw VS Plotly

Compare Excalidraw VS Plotly and see what are their differences

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Excalidraw logo Excalidraw

Excalidraw is a whiteboard tool that lets you easily sketch diagrams that have a hand-drawn feel to them.

Plotly logo Plotly

Low-Code Data Apps
  • Excalidraw Excalidraw - collaborative whiteboard infinite canvas
    Excalidraw - collaborative whiteboard infinite canvas //
    2024-11-13

Excalidraw is an open-source virtual whiteboard focused on simplicity and collaboration. It provides a hand-drawn, sketch-style interface for brainstorming and visualizing ideas. Ideal for remote teams, educators, and developers, Excalidraw supports real-time collaboration and integrates with other tools through its open API. With a privacy-first design and intuitive layout, it enables users to create and share diagrams, workflows, and visual notes efficiently. Powered by a strong community, Excalidraw is designed to fit into diverse workflows with minimal setup.

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

Excalidraw features and specs

  • User-Friendly Interface
    Excalidraw features a simple and intuitive interface that makes it easy for users to create diagrams and sketches without a steep learning curve.
  • Real-Time Collaboration
    Allows multiple users to collaborate on the same canvas in real-time, making it a great tool for team projects and discussions.
  • Free to Use
    Excalidraw is completely free to use, and offers all of its features without a subscription or one-time payment.
  • Open Source
    Being open source, it allows developers to contribute to its codebase, customize it for their needs, and potentially add new features.
  • Offline Capability
    Offers offline support, enabling users to continue working on their diagrams without an internet connection.

Possible disadvantages of Excalidraw

  • Limited Advanced Features
    While perfect for basic sketches and diagrams, Excalidraw lacks some advanced features found in other professional-grade diagramming tools.
  • Basic Styling Options
    The tool offers limited styling options, which may not be sufficient for users looking for more sophisticated design and customization capabilities.
  • No Integration with Other Tools
    Currently, Excalidraw does not offer integration with other popular productivity or design tools, which might be a limitation for some users.
  • Scalability Issues
    As the number of elements on the canvas increases, performance can degrade, potentially making the tool less responsive.
  • Limited Export Options
    Supports limited export formats, which can be inconvenient for users needing to integrate their visuals into other applications or media.

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 Excalidraw

Overall verdict

  • Excalidraw is an excellent tool, especially for those looking for a straightforward and efficient online whiteboard solution. Its user-friendly design, combined with robust collaboration features, makes it a strong choice for both individuals and teams.

Why this product is good

  • Excalidraw is highly regarded due to its simplicity and effectiveness as a digital whiteboard tool. It offers a clean, intuitive interface that's easy to use for quick sketches and brainstorming sessions. The collaboration features, which allow multiple users to work together in real-time, make it ideal for teams. Its open-source nature also adds a level of flexibility and customization for users with specific needs.

Recommended for

  • Designers needing a quick sketch tool.
  • Teams requiring real-time collaboration on visual ideas.
  • Individuals who appreciate open-source software.
  • Educators and students for simple diagrams or brainstorming.
  • Remote teams looking for a lightweight yet powerful whiteboarding tool.

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.

Excalidraw videos

Rapid Mockup Creation Using Excalidraw

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 Excalidraw and Plotly)
Digital Whiteboard
100 100%
0% 0
Data Visualization
0 0%
100% 100
Diagrams
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 Excalidraw and Plotly

Excalidraw Reviews

The 5 Best Open Source Miro Alternatives in 2024
Looking at open source alternatives to Miro will give you powerful and flexible tools that can cater to different collaboration needs without the limitations of propietary software. In 2024,the best open source Miro alternative will be AFFiNE, Obsidian, Excalidraw,Appflowy,and Logseq. Each of these has unique features, community driven improvements, and the ability to...
Source: affine.pro
5 great diagramming tools for enterprise and software architects
As your system evolves, you must update your diagrams to reflect those changes. Because Excalidraw is a browser-based tool, you have to open a browser tab and make changes visually, which can be inconvenient. You also can't easily see your history of changes. While Excalidraw has fans, I prefer a text-based diagram tool.
Source: www.redhat.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, Excalidraw should be more popular than Plotly. It has been mentiond 267 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.

Excalidraw mentions (267)

  • Your Architecture Diagram Is a Screenshot. Your AI Agent Can't Read It.
    The format idea costs you nothing to adopt today: export from excalidraw.com with "Embed scene" on, commit the .excalidraw.png, reference it as a normal image. It renders everywhere and stays editable. - Source: dev.to / about 1 month ago
  • The Interview Prep Stack I Used as a Senior Software Engineer Targeting Big Tech
    Category Tool URL How I used it General AI assistant ChatGPT Https://chatgpt.com Breaking down concepts, simulating interviewers, reviewing answers AI writing / reasoning Claude Https://claude.ai Refining behavioral stories and system design explanations Coding practice LeetCode Https://leetcode.com Core DSA practice and timed coding drills Coding explanations NeetCode Https://neetcode.io Pattern-based... - Source: dev.to / about 2 months ago
  • Master the in demand of salary negotiation and system design: What Fails
    Most system design interviews fail because candidates draw perfect whiteboard diagrams but canโ€™t explain the tradeoffs of their choices, or canโ€™t write code to implement a core component. By 2025, 60% of FAANG system design interviews will require live coding of at least one component, per internal hiring data. Instead of practicing whiteboard diagrams with Excalidraw, practice coding core components: rate... - Source: dev.to / 2 months ago
  • ๐Ÿ“ Documentation-as-Code Has Silently Won For Tech Content
    Excalidraw โ€” Hand-drawn style diagrams; stores as JSON that AI can read and tweak (still early days). - Source: dev.to / 5 months ago
  • A Map for the First-Time Software Creator
    Excalidraw is free and feels like drawing with a fat marker. - Source: dev.to / 3 months 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 / 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
View more

What are some alternatives?

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

Miro - Join Millions of users that collaborate from all over the planet using Miro. Experience the power of the #1 visual workspace for innovation. More than 100M users and 250,000 companies are collaborating on the canvas.

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.

draw.io - Online diagramming application

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

xTiles App - A web note-taking app for creative people that combines the best from text editors and whiteboards. Think, write, and organize your thoughts based on cards and tabs. Structure and enrich all of your ideas in one place.

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.