Software Alternatives, Accelerators & Startups

Plot Digitizer VS JSON Placeholder

Compare Plot Digitizer VS JSON Placeholder and see what are their differences

Plot Digitizer logo Plot Digitizer

All-in-One Tool to Extract Data from Graphs, Plots & Images

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.
  • Plot Digitizer Landing page
    Landing page //
    2023-06-17
  • JSON Placeholder Landing page
    Landing page //
    2022-01-17

Plot Digitizer features and specs

  • User-friendly Interface
    Plot Digitizer offers a simple and intuitive interface, making it accessible for users of varying technical skill levels.
  • Supports Multiple File Formats
    The tool supports a variety of file formats, including PNG, JPEG, and PDF, offering flexibility in terms of input data.
  • Precision and Accuracy
    Plot Digitizer provides precise and accurate data extraction, ensuring reliable outputs from digitized plots.
  • Versatile Application
    It can be used for various types of graphs and charts, such as line graphs, scatter plots, and bar charts.
  • Cross-Platform Compatibility
    The application is web-based, which allows it to be used across different operating systems without needing additional software installations.

Possible disadvantages of Plot Digitizer

  • Limited Free Features
    The free version may have limited features compared to the paid version, which could restrict functionality for some users.
  • Internet Dependency
    As a web-based tool, Plot Digitizer requires a stable internet connection for use, which might be a limitation in areas with poor connectivity.
  • Learning Curve
    While the interface is generally user-friendly, new users may still require time to understand all available features to use the tool efficiently.
  • Potential for Manual Errors
    Manual calibration and adjustments might introduce errors, especially when dealing with complex or high-density plots.
  • Performance Limitations
    Very large or complex datasets might impact the performance and speed of the tool, potentially leading to longer processing times.

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.

Analysis of JSON Placeholder

Overall verdict

  • Yes, JSON Placeholder is a good tool for developers looking for a simple and quick solution to test and prototype applications without the need for a backend during early-stage development.

Why this product is good

  • JSON Placeholder is a widely used online fake REST API for testing and prototyping. It provides developers with an easy way to simulate server responses without setting up a backend. This tool is especially useful for front-end developers who need to test their applications with data before an actual API is available. It offers endpoints for typical CRUD operations, making it highly versatile and useful for various testing scenarios.

Recommended for

  • Front-end developers
  • Developers working on prototyping
  • Testing purposes without backend setup
  • Learning and teaching API interactions
  • Quick mock data for demo applications

Plot Digitizer videos

Plot digitizer

JSON Placeholder videos

Albums Json Placeholder - Review 4

More videos:

  • Review - JSON PLACEHOLDER - FAKE API

Category Popularity

0-100% (relative to Plot Digitizer and JSON Placeholder)
Data Extraction
100 100%
0% 0
Development
18 18%
82% 82
Data Visualization
100 100%
0% 0
Online Services
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, JSON Placeholder seems to be a lot more popular than Plot Digitizer. While we know about 176 links to JSON Placeholder, we've tracked only 3 mentions of Plot Digitizer. 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.

Plot Digitizer mentions (3)

  • [OC] Autism rates are driven by changes in policy and diagnostic criteria, not vaccinations
    Data: The CDC data estimating national autism rates only shows data every other year since 2000 (https://www.cdc.gov/ncbddd/autism/data.html). I used California data from Nevison (2018) (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223814/ ) to show a longer-term historical trend. While it doesnโ€™t completely match the national data during the overlapping years (and I wouldnโ€™t expect it to), I have no reason to... Source: about 3 years ago
  • graph website/app?
    There are several, yes. Here is one, and here is anther, and here is a third. There is a detailed comparison here. Source: about 3 years ago
  • Show HN: Data Painter โ€“ A Different Way to Interact with Your Data
    I found this... Something like what you have in mind? (not Foss) https://plotdigitizer.com/. - Source: Hacker News / over 3 years ago

JSON Placeholder mentions (176)

  • Beta and Production Builds in Expo - Fully Local, No EAS Required
    // src/config/index.ts Import * as Application from "expo-application"; Type AppConfig = { apiUrl: string; environment: "beta" | "production"; }; Const configs: Record = { "com.example.myapp": { apiUrl: "https://jsonplaceholder.typicode.com", environment: "production", }, "com.example.myapp.beta": { apiUrl: "https://dummyjson.com", environment: "beta", }, }; Const... - Source: dev.to / 9 days ago
  • Mastering API Automation: Testing POST and DELETE Requests with Python
    Import requests Import pytest BASE_URL = "https://jsonplaceholder.typicode.com" Def test_create_new_post(): """ Test that sending a valid POST request creates a new resource. """ # 1. Define the payload (the data we are sending) payload = { "title": "Automating API Tests", "body": "This is a great tutorial on testing.", "userId": 1 } # 2. Make the POST... - Source: dev.to / 16 days ago
  • Mastering the "requests" Library in Python
    Import requests From requests.adapters import HTTPAdapter From urllib3.util.retry import Retry Def create_session(retries=3, backoff_factor=0.5): """Create a session with automatic retries.""" session = requests.Session() retry = Retry( total=retries, backoff_factor=backoff_factor, status_forcelist=[429, 500, 502, 503, 504] ) adapter = HTTPAdapter(max_retries=retry) ... - Source: dev.to / 2 months ago
  • Angular 22 @Service vs @Injectable (What You Need to Know)"
    Import { Service, signal } from '@angular/core'; // Note: Injectable is removed Import { HttpClient, httpResource } from '@angular/common/http'; Import { Post, User } from './models'; Const BASE = 'https://jsonplaceholder.typicode.com'; @Service() // โ† providedIn: 'root' by default, no config needed Export class PostsService { selectedUserId = signal(null); users = httpResource(() =>... - Source: dev.to / 2 months ago
  • A Practical Guide to Load Testing with k6
    **When to use which?** I use thresholds for overall pass/fail decisions and checks for detailed response validation. Checks are assertions that keep running even when they failโ€”great for debugging and granular verification. ## Test Lifecycle k6 tests have four phases: ```javascript Import http from "k6/http"; // 1. init: Runs once per VU at startup Const BASE_URL = "https://jsonplaceholder.typicode.com"; //... - Source: dev.to / 6 months ago
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What are some alternatives?

When comparing Plot Digitizer and JSON Placeholder, you can also consider the following products

WebPlotDigitizer - WebPlotDigitizer - Web based tool to extract numerical data from plots, images and maps.

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

DigitizeIt - Sometimes it is necessary to extract data values from graphs, e.g.

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

GraphClick - GraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime movies.

httpbin(1) - HTTP request and response service