Software Alternatives, Accelerators & Startups

Markdown Here VS Plotly

Compare Markdown Here 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.

Markdown Here logo Markdown Here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render...

Plotly logo Plotly

Low-Code Data Apps
  • Markdown Here Landing page
    Landing page //
    2023-09-26
  • Plotly Landing page
    Landing page //
    2023-07-31

Markdown Here features and specs

  • Cross-Platform Compatibility
    Markdown Here is available as a browser extension for multiple platforms, including Chrome, Firefox, Safari, and Opera. This ensures that users can use it across different browsers without compatibility issues.
  • Ease of Use
    The extension simplifies the process of writing in Markdown for emails and provides a quick conversion to formatted HTML, making it user-friendly even for those new to Markdown.
  • Consistent Email Formatting
    With Markdown Here, users can write emails in Markdown, which allows for a neat and consistent look. The tool converts the Markdown into HTML, ensuring that the formatting is preserved across different email clients.
  • Open Source
    Being open-source, Markdown Here encourages community contributions, allowing users to suggest improvements and customize the tool based on their needs.

Possible disadvantages of Markdown Here

  • Browser Dependence
    As a browser extension, its functionality is limited to supported browsers. Users relying on unsupported browsers will not be able to utilize the tool.
  • Limited to Email Clients
    The primary focus of Markdown Here is on rendering Markdown text in emails. Users seeking Markdown support in other applications beyond email will find this tool limited.
  • Rendering Limitations
    Some complex Markdown features or custom styling may not render correctly when converted to HTML, depending on the email client's capabilities and restrictions.
  • Potential Security Concerns
    As with any browser extension, there are inherent security risks, such as potential vulnerabilities that could be exploited. Users need to regularly update the extension to mitigate these risks.

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.

Markdown Here videos

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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 Markdown Here and Plotly)
Markdown Editor
100 100%
0% 0
Data Visualization
0 0%
100% 100
Text Editors
100 100%
0% 0
Data Dashboard
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 Markdown Here and Plotly

Markdown Here 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.
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 seems to be a lot more popular than Markdown Here. While we know about 33 links to Plotly, we've tracked only 1 mention of Markdown Here. 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.

Markdown Here mentions (1)

  • Cheat-sheet maker; a react app for creating and sharing cheat sheets (with markdown)
    If I got your point correctly, I think markdown is a great solution for this. For this particular app, I used react-markdown as parser but there are other libraries of course. Source: about 4 years ago

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 / 2 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 / 4 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 / 12 months 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 Markdown Here and Plotly, you can also consider the following products

markdown to web - Convert markdown to online web page

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.

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

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

Markdown to PDF - Super simple way to get your markdown files to PDF

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