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JSON Placeholder VS Plotly

Compare JSON Placeholder VS Plotly and see what are their differences

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JSON Placeholder logo JSON Placeholder

JSON Placeholder is a modern platform that provides you online REST API, which you can instantly use whenever you need any fake data.

Plotly logo Plotly

Low-Code Data Apps
  • JSON Placeholder Landing page
    Landing page //
    2022-01-17
  • Plotly Landing page
    Landing page //
    2023-07-31

JSON Placeholder features and specs

  • Free to Use
    JSON Placeholder is completely free for developers to use. There are no fees or subscription costs, which makes it accessible for anyone needing mock data quickly.
  • Reliable and Well-Maintained
    The API is maintained and kept up-to-date, ensuring that developers can rely on it for consistent performance and uptime.
  • Ease of Use
    The service is user-friendly, with clear documentation and straightforward endpoints, making it easy for developers to integrate and work with.
  • Variety of Data Types
    JSON Placeholder provides different types of data such as users, posts, comments, and todos, suitable for a variety of testing scenarios.
  • No Authentication Required
    The API does not require any form of authentication, which simplifies the process of making requests and testing applications.
  • Common Data Model
    The data model used by JSON Placeholder represents common entities often found in real-world applications, making it practical for most development purposes.

Possible disadvantages of JSON Placeholder

  • Static Data
    The data provided by JSON Placeholder is static and does not change, which can limit its usefulness for testing applications that require dynamic data.
  • Not Real Data
    The information provided is entirely fictional and may not accurately represent real-world scenarios, potentially leading to less realistic testing environments.
  • Limited Data Size
    The amount of data available is limited, which may not be sufficient for testing applications that require large datasets.
  • No Custom Data Generation
    JSON Placeholder does not offer features to generate custom datasets, which can be a limitation for developers who need specific data formats or structures.
  • Lack of Advanced Features
    The API offers basic CRUD operations but lacks advanced features like filtering, sorting, or pagination, which may be necessary for some testing scenarios.

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.

JSON Placeholder videos

+ Add

Albums Json Placeholder - Review 4

More videos:

  • Review - JSON PLACEHOLDER - FAKE API

Plotly videos

+ Add

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 JSON Placeholder and Plotly)

JSON Placeholder

Plotly

Development
100 100%
Development
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Online Services
100 100%
Online Services
0% 0
Data Dashboard
0 0%
Data Dashboard
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 JSON Placeholder and Plotly

JSON Placeholder Reviews

We have no reviews of JSON Placeholder yet.
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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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, JSON Placeholder should be more popular than Plotly. It has been mentiond 160 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.

JSON Placeholder mentions (160)

  • Rest Client - Fetch
    Const request = { title: 'foo', body: 'bar', userId: 1, }; Fetch('https://jsonplaceholder.typicode.com/posts', { method: 'POST', body: JSON.stringify(request), headers: { 'Content-type': 'application/json; charset=UTF-8', }, }) .then(response => response.json()) .then(json => console.log(json));. - Source: dev.to / 15 days ago
  • Modern Networking in iOS with URLSession and async/await: A Practical Guide
    Encapsulation of base URL logic: Centralizes the host and scheme configuration (e.g. "https://jsonplaceholder.typicode.com"), keeping the logic DRY (Don't Repeat Yourself). - Source: dev.to / about 1 month ago
  • Tutorial 14: Networking in iOS - Making API Calls with URLSession
    Import Foundation Class NetworkManager { static let shared = NetworkManager() private let baseURL = "https://jsonplaceholder.typicode.com" func fetchMessages(completion: @escaping ([Message]?) -> Void) { guard let url = URL(string: "\(baseURL)/messages") else { return } let task = URLSession.shared.dataTask(with: url) { data, response, error in guard let data = data,... - Source: dev.to / about 2 months ago
  • How To Fetch Data From API In React JS Axios
    Try fetching data from public APIs like JSONPlaceholder or OpenWeatherMap. - Source: dev.to / about 2 months ago
  • Debounce vs. Throttle in JavaScript, in Simple Words
    In this CodePen, you can see a simple debounce function in action. The function waits 500 milliseconds after the user stops typing. Then, it makes a request to the JSONPlaceholder API to display the relevant results. - Source: dev.to / 2 months 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 / about 2 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 / 4 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 / 11 months 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 JSON Placeholder and Plotly, you can also consider the following products

JSON Server - Get a full fake REST API with zero coding in less than 30 seconds. For front-end developers who need a quick back-end for prototyping and mocking

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.

ReqRes - A hosted REST-API ready to respond to your AJAX requests.

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

Mockae - The most flexible way to mock REST APIs with Lua code execution

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

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