Software Alternatives, Accelerators & Startups

DevToys VS Plotly

Compare DevToys VS Plotly and see what are their differences

DevToys logo DevToys

A collection of converters, formaters, encoders, generators and other tools for your Windows desktop.

Plotly logo Plotly

Low-Code Data Apps
  • DevToys Landing page
    Landing page //
    2022-01-20
  • Plotly Landing page
    Landing page //
    2023-07-31

DevToys features and specs

  • Comprehensive Toolset
    DevToys offers a wide range of developer tools in one package, allowing easy access to utilities like JSON formatting, JWT decoding, and text encoding without switching applications.
  • User-Friendly Interface
    The application features an intuitive and clean interface, making it accessible for both novice and experienced developers to quickly find and use the tools they need.
  • Free and Open Source
    DevToys is free to use and open source, allowing users to benefit from community contributions and transparency, while supporting developers who refine and expand its features.
  • Offline Access
    DevToys can be used offline, which is beneficial for developers who need tool access without reliable internet connectivity.

Possible disadvantages of DevToys

  • Platform Limitations
    As of now, DevToys is primarily available for Windows users, limiting accessibility for developers on other operating systems, such as macOS or Linux.
  • Limited Advanced Features
    While DevToys offers a broad range of basic tools, it may lack some advanced features that specialized standalone applications provide, which might be necessary for more complex tasks.
  • Dependency on .NET
    DevToys requires the .NET 5 or higher framework which may be a drawback for users who prefer to limit dependencies or need a lightweight solution.
  • Potential Redundancy
    Developers who already use a variety of specialized tools or integrated development environments might find some of DevToys' tools redundant, preferring their existing solutions.

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 DevToys

Overall verdict

  • DevToys is a valuable tool for developers, providing a wide range of utilities in a single, easy-to-use application. It is well-received for its functionality and convenience.

Why this product is good

  • DevToys is considered good because it offers a suite of handy developer tools integrated in one application, eliminating the need to search for different tools online. It includes utilities for text manipulation, data formatting, image conversion, and more, all designed to streamline the workflow of developers.

Recommended for

  • Software developers
  • Web developers
  • Data analysts
  • IT professionals
  • Anyone who frequently manipulates data or code

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.

DevToys videos

DevToys - Review and How to Install | The Swiss Army Knife for Developers

More videos:

  • Review - Quick shout-out to DevToys
  • Review - DevToys: All in One Developer Tools for Windows

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 DevToys and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Productivity
100 100%
0% 0
Charting Libraries
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 DevToys and Plotly

DevToys 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 thatโ€™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 should be more popular than DevToys. It has been mentiond 34 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.

DevToys mentions (16)

  • Show HN: Prism.Tools โ€“ Free and privacy-focused developer utilities
    There are lots of these, but this is the first that I've seen that focused on frontend dev a bit more. I've saved it to my list of tools for reference. Here's another with a more local / backend / IT flavor: https://it-tools.tech I have a couple more local apps with similar functions. Here's one that's cross platform[0]. This one appears to be Mac only[1]. Someone else mentioned not being able to remember these... - Source: Hacker News / 6 months ago
  • 12 Developer Tools That Keep My Workflow Smooth
    Think of DevToys as the developer equivalent of a multi-tool. Itโ€™s a desktop app with dozens of handy utilities. - Source: dev.to / 9 months ago
  • XYPlorer Is Written in VB6
    Devtoys is great and open-source and .NET and cross-platform * https://devtoys.app/ and in context to the thread files-community/files is great and open-source and .NET and cross-platform * https://files.community/. - Source: Hacker News / over 1 year ago
  • DevHub.app โ€“ Developer Utilities for macOS
    The open-source (MIT license) DevToys is a similar toolkit and it's available for macOS, Linux, and Windows: https://devtoys.app. - Source: Hacker News / almost 2 years ago
  • DevUtils vs. DevToys vs. OpenDev: Which Developer Utility Tool Is Right for You?
    DevToys is a free, open-source utility for Windows users. It's often referred to as the "Swiss Army knife" for developers, providing a broad range of tools in a single, accessible application. DevToys is particularly appealing due to its simplicity and the wide array of functionalities it offers. - Source: dev.to / almost 2 years ago
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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 / 4 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!๐Ÿค“
    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 / over 1 year 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

What are some alternatives?

When comparing DevToys and Plotly, you can also consider the following products

CyberChef - The Cyber Swiss Army Knife

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.

JSONFormatter.org - Online JSON Formatter and JSON Validator will format JSON data, and helps to validate, convert JSON to XML, JSON to CSV. Save and Share JSON

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

DevToys for Mac - DevToys For mac. Contribute to ObuchiYuki/DevToysMac development by creating an account 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.