Software Alternatives, Accelerators & Startups

Dillinger VS Plotly

Compare Dillinger 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.

Dillinger logo Dillinger

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

Plotly logo Plotly

Low-Code Data Apps
  • Dillinger Landing page
    Landing page //
    2024-10-09
  • Plotly Landing page
    Landing page //
    2023-07-31

Dillinger features and specs

  • Real-time Markdown Rendering
    Dillinger provides live rendering of Markdown text, allowing users to see a side-by-side preview of their formatted text.
  • Cloud Integration
    It offers integration with cloud services like Dropbox, Google Drive, OneDrive, and GitHub, making it easy to save and manage documents.
  • User-friendly Interface
    The platform boasts an intuitive and clean interface, which makes it easy for both beginners and experienced users to navigate and use effectively.
  • Export Options
    Dillinger supports exporting documents in multiple formats, including Markdown, HTML, and PDF, providing flexibility in how users can use their content.
  • Open Source
    As an open-source platform, Dillinger allows developers to contribute to the project or customize the tool for their specific needs.

Possible disadvantages of Dillinger

  • Limited Offline Support
    Dillinger is primarily a web-based application and requires an internet connection for full functionality, limiting its usability offline.
  • Basic Markdown Features
    While it covers the basics well, advanced Markdown features or plugins might be missing compared to more comprehensive editors.
  • Dependency on External Services
    Heavy reliance on third-party cloud services may be a drawback for users who prefer to keep their data localized or have privacy concerns.
  • No Native Desktop Application
    Dillinger does not offer a native desktop application, which might be a disadvantage for users who prefer or require desktop-based tools.
  • Limited Customization
    While the interface is user-friendly, it offers limited customization options in terms of themes and editor settings compared to some other Markdown editors.

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 Dillinger

Overall verdict

  • Dillinger is considered a good Markdown editor, especially for users who need a straightforward tool with cloud integration capabilities. Its user-friendly design and ability to handle Markdown documents effectively make it a reliable choice.

Why this product is good

  • Dillinger is a cloud-enabled, mobile-ready, offline-storage compatible, Markdown editor. It is known for its simplicity, ease of use, and ability to integrate with cloud storage services such as Dropbox, Google Drive, and GitHub. Users appreciate its clean interface and the ability to preview Markdown files in real-time. It also supports exporting documents in formats like HTML and PDF.

Recommended for

    Dillinger is recommended for developers, writers, and anyone who frequently works with Markdown documentation. It's particularly useful for those who need access to their documents across different devices or want to store them in the cloud.

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.

Dillinger videos

The Dillinger Escape Plan - Dissociation ALBUM REVIEW

More videos:

  • Review - The Dillinger Escape Plan - One Of Us Is The Killer ALBUM REVIEW
  • Review - DILLINGER ESCAPE PLAN Dissociation Album Review | Overkill Reviews

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 Dillinger 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 Dillinger and Plotly

Dillinger 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

Plotly might be a bit more popular than Dillinger. We know about 33 links to it since March 2021 and only 26 links to Dillinger. 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.

Dillinger mentions (26)

  • Markdown Syntax & Features: A Comprehensive 2025 Guide
    Dillinger - A cloud-enabled, mobile-ready, offline-storage, AngularJS-powered, HTML5 Markdown editor. - Source: dev.to / 5 months ago
  • 100+ Must-Have Web Development Resources
    Dillinger: An online editor that offers cloud storage and supports various export formats like HTML5 and PDF. - Source: dev.to / 8 months ago
  • Converting Markdown to PDF
    Simply access https://dillinger.io and paste your markdown code there. It has the option to export to PDF, as well as some other formats. - Source: dev.to / 11 months ago
  • Building a simple but scalable blog using Astro
    I have used Markdown before (https://dillinger.io/) so wouldn't have a problem with using it again as long as on page SEO isn't any extra effort. I am not sure how I would use Markdown and then add the content to the blog to be deployed and if that is going to be much harder than a headless CMS, I would go for the headless. Source: over 1 year ago
  • Getting Started with Git and GitHub: A simple roadmap
    Useful rescources for this are: Markdown Cheatsheet and Markdown Editor. - Source: dev.to / about 2 years ago
View more

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 Dillinger and Plotly, you can also consider the following products

Typora - A minimal Markdown reading & writing app.

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.

StackEdit - Full-featured, open-source Markdown editor based on PageDown, the Markdown library used by Stack Overflow and the other Stack Exchange sites.

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

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

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