Software Alternatives, Accelerators & Startups

Plotly VS quicktype

Compare Plotly VS quicktype and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

quicktype logo quicktype

Generate beautiful, typesafe code from data
  • Plotly Landing page
    Landing page //
    2023-07-31
  • quicktype Landing page
    Landing page //
    2021-09-23

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.

quicktype features and specs

  • Ease of Use
    Quicktype provides an intuitive interface that allows users to easily generate code for data models from JSON, making it accessible even for those with minimal coding experience.
  • Multi-Language Support
    Quicktype supports multiple programming languages, allowing developers to generate code in their preferred language, enhancing versatility and convenience.
  • Time Efficiency
    By automating the creation of data models, Quicktype saves valuable time for developers, enabling faster project development and iteration.
  • Accuracy
    Quicktype generates highly accurate data models that closely match the structure and data types of the input JSON, reducing the likelihood of errors.
  • Customization
    Users can customize the generated code to fit their specific needs, allowing for flexible integration into existing projects.

Possible disadvantages of quicktype

  • Learning Curve
    While the interface is user-friendly, there may still be a learning curve for new users to fully understand how to customize and effectively use Quicktype.
  • Dependency on Input Quality
    The accuracy of the generated models is highly dependent on the quality and structure of the input JSON. Poorly structured JSON may lead to suboptimal or erroneous code.
  • Limited Complex Logic
    Quicktype focuses on generating data models and may not handle complex business logic or advanced use cases without additional manual coding.
  • Internet Reliance
    As a web-based tool, Quicktype requires an internet connection to function, which could be a limitation in offline development environments.
  • Customization Complexity
    While customization is a pro, it can also add complexity for users who need to modify the generated code significantly, possibly requiring more advanced coding knowledge.

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

quicktype videos

Tamiya CA Cement (Quicktype) Scale Model Tool Review

More videos:

  • Review - iPhone 5S iOS 8 - QuickType Keyboard Predictive Text Review
  • Review - Word Salad: Messaging Friends With Apple's QuickType

Category Popularity

0-100% (relative to Plotly and quicktype)
Data Visualization
100 100%
0% 0
Developer Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Productivity
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 quicktype

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.

quicktype Reviews

We have no reviews of quicktype yet.
Be the first one to post

Social recommendations and mentions

Based on our record, quicktype should be more popular than Plotly. It has been mentiond 58 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 (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

quicktype mentions (58)

  • Writing a TypeScript Type Inference Engine in 300 Lines of Vanilla JS
    Every time I get a new API endpoint, I do the same small dance: look at a response, eyeball the shape, write a TypeScript interface, copy-paste it into the codebase. Quicktype exists and is excellent โ€” but it's also a multi-language beast with a web app that's heavier than I need for this one job. - Source: dev.to / 3 months ago
  • Goscript: Transpile Go to human-readable TypeScript
    Neat! I have experimented with various ways to convert Go structs to/from TypeScript interfaces. - https://quicktype.io/ - https://github.com/danielgtaylor/huma then OpenAPI -> TS - https://github.com/gzuidhof/tygo - https://github.com/coder/guts guts also does some AST stuff. It seems like this project could help with this and then some. - Source: Hacker News / 6 months ago
  • Show HN: Guts โ€“ convert Golang types to TypeScript
    - JSON Schema is well supported in LLMs (for example, with structured output or vibe coding). [1] https://quicktype.io/. - Source: Hacker News / 8 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    QuickType.io - Quickly auto-generate models/class/type/interface and serializers from JSON, schema, and GraphQL for working with data quickly & safely in any programming language. Convert JSON into gorgeous, typesafe code in any language. - Source: dev.to / over 2 years ago
  • 10 Lesser-Known Tools and Websites to Spice Up Your Developer Toolbox
    Quicktype automates the generation of code from JSON data. It's a real timesaver when dealing with complex JSON structures in your applications. - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Plotly and quicktype, 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.

JSON Editor Online - View, edit and format JSON online

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

JSON Crack - Visualize JSON into interactive graphs

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.

10015.io - 10015.io is an all-in-one toolbox offering many tools from various categories.