
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Low-Code Data Apps

GitBook
Documize
HackMD
Boardist
Dokit
Twake
Widget-Board
Spend your time on writing high quality documentation, not on the tools to make your documentation work.
Which is more popular?
Based on our record, Plotly seems to be a lot more popular than ReadTheDocs. While we know about 34 links to Plotly, we've tracked only 2 mentions of ReadTheDocs.
Website, pricing, platforms and company facts side by side.
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| Website | plotly.com | about.readthedocs.com |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
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.
No analysis of ReadTheDocs yet.
Walkthroughs and reviews on video.
Create Real-time Chart with Javascript | Plotly.js Tutorial
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Plotly and ReadTheDocs. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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.
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...
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...
ReadTheDocs is a web-based platform for building, hosting, and versioning documentation. It supports multiple languages and has built-in versioning, so you can easily switch between different versions of your...
Recommendations tracked on public social media and blogs since March 2021.


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
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
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... - Source: dev.to / over 1 year ago
A possible solution: https://readthedocs.com/. - Source: Hacker News / almost 5 years ago
Read the Docs is the standard de-facto for serving technical documentation, especially popular among Open Source projects. It supports Sphinx and MkDocs out of the box, supports multiple versions of the documentation and localized... - Source: dev.to / over 5 years ago
When comparing Plotly and ReadTheDocs, you can also consider the following products.

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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Modern Publishing, Simply taking your books from ideas to finished, polished books.
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RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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Enterprise-grade wiki and knowledge management platform
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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.
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Fast and flexible, real-time collaborative markdown, inspired by Hackpad.
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