Software Alternatives, Accelerators & Startups

Plotly VS Retool

Compare Plotly VS Retool and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Retool logo Retool

Build custom internal tools in minutes.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Retool Landing page
    Landing page //
    2023-08-04

Retool

Website
retool.com
$ Details
freemium $10.0 / Monthly (Startup)
Release Date
2017 January
Startup details
Country
United States
State
California
Founder(s)
David Hsu
Employees
10 - 19

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.

Retool features and specs

  • Speed of Development
    Retool allows developers to rapidly build internal tools with a drag-and-drop interface, reducing the time it takes to get functional applications up and running.
  • Integration Capabilities
    Retool supports integration with a wide range of databases, APIs, and other services, making it easier to connect different data sources and systems.
  • Customizability
    While Retool provides prebuilt components, it also allows for custom code and scripting, enabling developers to tailor applications to specific requirements.
  • Collaboration Features
    Retool supports collaborative features, such as sharing applications with team members and version control, making it easier to work in teams.
  • Security
    Retool provides robust security features, including access control and data encryption, to help protect sensitive information.

Possible disadvantages of Retool

  • Cost
    Retool can be relatively expensive compared to building internal tools from scratch or using some other platforms, potentially making it less accessible for smaller teams or startups.
  • Learning Curve
    Despite its user-friendly interface, there can be a learning curve for new users who need to become familiar with its specific functionalities and scripting capabilities.
  • Customization Limitations
    Though Retool offers customizability, there might be certain limitations compared to fully bespoke solutions, impacting highly specific or complex use cases.
  • Dependency on Retool
    Relying heavily on Retool may create a dependency that could be problematic if the company changes its pricing, features, or discontinues services.
  • Performance
    For very large datasets or highly complex operations, performance can become an issue, as it is with many platform-based solutions.

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.

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

Retool videos

Retool - Logic Review

More videos:

  • Review - #Worth?! Ep.12 - Retool (Gameplay / Review)
  • Demo - February NY Enterprise Tech Meetup: Retool Demo

Category Popularity

0-100% (relative to Plotly and Retool)
Data Visualization
100 100%
0% 0
No Code
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Developer Tools
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 Retool

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.

Retool Reviews

Top 5 Dynobase alternatives you should know about - March 2025 Review
The choice ultimately depends on your environment and use case. Many teams use a combination of tools: for example, Dynomate for developers, and a Retool app for operations or support teams. By understanding the strengths of each alternative, you can select the tool (or combination of tools) that best integrates with your AWS workflow, making DynamoDB development smoother...
Source: www.dynomate.io
React UI Components Libraries: Our Top Picks for 2023
Retool offers extensive documentation and support. Its support is available on its Discourse forum, Slack (if you are a Retool power user), Intercom for live chat, and dedicated support for enterprise customers.
Source: kinsta.com
ILLA Cloud vs. Retool vs. Bubble - Unveiling the Best Low-Code Platforms
In the quest for the best low-code platform, Retool, Bubble, and ILLA Cloud all offer unique features and capabilities. While Retool shines with its self-hosted option and Bubble contributes to the open-source community, ILLA Cloud stands out as a powerful and flexible low-code platform. With its comprehensive feature set, affordable pricing models, and self-hosted...
Top 9 Low-Code Tools for 2023 for low-code development
Retool is a powerful low-code platform that enables developers to build internal tools and apps with ease. It offers a drag-and-drop interface and a wide range of pre-built components for seamless development. Retool integrates with various data sources and external services, allowing users to fetch data, perform calculations, and display results in real-time. Its...
Superblock vs Retool: A Comprehensive Comparison for Low-code development Platforms
Retool caters to a diverse audience, including developers, product managers, and business professionals. Developers benefit from Retool's low-code capabilities, allowing them to build applications quickly without sacrificing customization. Product managers can leverage Retool to streamline internal workflows and enable teams to be more productive. Business professionals can...

Social recommendations and mentions

Based on our record, Retool should be more popular than Plotly. It has been mentiond 99 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 (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

Retool mentions (99)

View more

What are some alternatives?

When comparing Plotly and Retool, 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.

Appsmith - Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.