Software Alternatives, Accelerators & Startups

Plotly VS StackEdit

Compare Plotly VS StackEdit 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

StackEdit logo StackEdit

Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • StackEdit Landing page
    Landing page //
    2024-12-08

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.

StackEdit features and specs

  • Markdown Support
    StackEdit offers robust support for Markdown, allowing for efficient and straightforward text formatting and editing.
  • Offline Access
    Users can work on their documents offline, making it convenient for use in areas with limited or no internet connectivity.
  • Synchronization
    StackEdit can be synchronized with various cloud storage services like Google Drive and Dropbox, enabling easy access and backup.
  • Collaboration
    The platform supports real-time collaboration, which is useful for teams working on a document simultaneously.
  • Integrated Editor
    It includes a feature-rich Markdown editor with a live preview, which helps users see the formatted version of their text as they type.

Possible disadvantages of StackEdit

  • Learning Curve
    Users unfamiliar with Markdown may find it initially challenging to use all of StackEdit's features effectively.
  • Limited Export Options
    While it does support exporting to HTML, PDF, and a few other formats, the export options may be limited compared to other markdown editors.
  • Performance
    Some users might experience performance issues with large documents or when using the application for extended periods.
  • Requires Signup for Full Features
    To access all features, such as cloud synchronization and import/export options, users need to sign up for an account.
  • Dependency on Internet for Sync
    While offline editing is a plus, syncing documents still requires an internet connection, which may be inconvenient for some users.

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 StackEdit

Overall verdict

  • StackEdit is generally considered a good tool for those who need a reliable markdown editor with advanced features, especially for users who value cloud integration and offline functionality.

Why this product is good

  • StackEdit is a versatile, in-browser markdown editor that offers a variety of features, such as real-time collaboration, seamless synchronization with cloud services like Google Drive and Dropbox, and offline editing capabilities. It supports a wide range of markdown variations and extensions, making it suitable for different types of documentation and note-taking needs.

Recommended for

    StackEdit is highly recommended for writers, bloggers, developers, and students who frequently work with markdown files and need a powerful editor that can integrate with cloud storage services while providing collaboration features.

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

StackEdit videos

StackEdit - Write Markdown on Google Drive

More videos:

  • Review - StackEdit éditeur puissant de Markdown en ligne 💪

Category Popularity

0-100% (relative to Plotly and StackEdit)
Data Visualization
100 100%
0% 0
Markdown Editor
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Text Editors
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 StackEdit

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.

StackEdit Reviews

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

Social recommendations and mentions

Based on our record, StackEdit should be more popular than Plotly. It has been mentiond 52 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 / 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

StackEdit mentions (52)

  • Show HN: MarkNote – Local-First Wysiwyg Markdown Editor (Tauri/Rust)
    - Not sure if I want auto-save (see above) This is another local-first editor I would prefer using (no install required): https://stackedit.io --- I also prefer installing via brew. Otherwise macOS doesn't allow you to run the app (because it's not signed?). I think homebrew signs the app for you. --- I don't think I would have tried MarkNote if it didn't have the free tier, given other editors are sufficient for... - Source: Hacker News / 6 months ago
  • If it is worth keeping, save it in Markdown
    Https://daringfireball.net/projects/markdown/syntax#philosophy "Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions." Any text editor (Notepad, TextPad, (neo)vi(m), Emacs, TextMate, Apostrophe, GhostWriter, Typora, etc.) will do. Markdown-specific editors have either a real-time preview or the ability to edit as... - Source: Hacker News / over 1 year ago
  • 100+ Must-Have Web Development Resources
    StackEdit: An open-source, free Markdown editor based on PageDown. - Source: dev.to / almost 2 years ago
  • Markdown as Fast as Possible
    Alternatively, you can use an online markdown editor like StackEdit or HackMD. - Source: dev.to / over 2 years ago
  • Good Notes App?
    Use https://stackedit.io/ in the browser :). Source: almost 3 years ago
View more

What are some alternatives?

When comparing Plotly and StackEdit, 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.

Typora - A minimal Markdown reading & writing app.

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

Dillinger - joemccann has 95 repositories available. Follow their code on GitHub.

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.

Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber