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JSON to CSV VS jq

Compare JSON to CSV VS jq and see what are their differences

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JSON to CSV logo JSON to CSV

Convert JSON to CSV in your browser

jq logo jq

jq is like sed for JSON data - you can use it to slice and filter and map and transform structured...
  • JSON to CSV Landing page
    Landing page //
    2019-09-05
  • jq Landing page
    Landing page //
    2023-09-24

JSON to CSV features and specs

  • Simplicity
    The tool offers a straightforward interface that makes it easy to convert JSON data to CSV without needing to write any code, which is accessible to users with varying levels of technical expertise.
  • Quick Processing
    It quickly converts JSON files to CSV format, making it efficient for users who need fast results.
  • Free to Use
    The service is freely available online, enabling users to perform conversions without any cost, making it an excellent choice for individuals and small-scale projects.
  • No installation
    Being a web-based tool, it doesn’t require any software installation, making it readily accessible from any device with an internet connection.

Possible disadvantages of JSON to CSV

  • Limited Customization
    The tool provides basic conversion capabilities, but lacks advanced features for customizing the output CSV to fit specific user needs.
  • Internet Dependency
    As an online tool, it requires a stable internet connection, which might be a limitation in areas with poor connectivity or for users who prefer offline solutions.
  • Privacy Concerns
    Since the conversion is done through a web service, there may be concerns about the privacy and security of potentially sensitive data being uploaded.
  • Handling Complex JSON
    It might struggle with complex JSON structures, such as deeply nested objects or arrays, potentially leading to incomplete or incorrect conversions.

jq features and specs

  • Lightweight
    jq is a lightweight command-line utility, meaning it has a minimal footprint and is easy to install and use without requiring significant resources.
  • Powerful Query Language
    jq provides a powerful and flexible query language for manipulating JSON data. It allows complex operations like filtering, transforming, and aggregating data with simple syntax.
  • Portable
    Being a single binary, jq is highly portable and can be easily included in various environments, making it a versatile tool for developers and system administrators.
  • Wide Adoption
    jq is widely adopted and well-documented. The active community and numerous tutorials make it easy to find help and resources for learning and troubleshooting.
  • Integration
    jq integrates seamlessly with other command-line tools and scripts, allowing users to create powerful pipelines for processing JSON data.

Possible disadvantages of jq

  • Learning Curve
    The syntax and concepts of jq can be unfamiliar and somewhat steep for beginners, requiring an investment in learning to effectively use the tool.
  • Limited to JSON
    jq is specialized for JSON data, so it cannot be used for other data formats like XML or CSV without additional tools or conversions.
  • No Native GUI
    jq is a command-line tool, which may be a drawback for users who prefer or require graphical user interfaces for manipulating JSON data.
  • Performance
    While generally efficient, jq may have performance limitations with extremely large JSON datasets compared to more specialized data processing tools.
  • Debugging Complexity
    When writing complex queries, debugging jq scripts can become challenging due to the terse and functional nature of the language.

Analysis of jq

Overall verdict

  • jq is widely regarded as a powerful tool for handling JSON data, making it a valuable asset for developers and data analysts. It is particularly beneficial for those who on a regular basis need to extract meaningful insights from JSON datasets.

Why this product is good

  • jq is a lightweight and flexible command-line JSON processor. It's praised for its ability to manipulate and query JSON data with ease, allowing for complex filtering, mapping, and transformations. Its syntax is efficient for developers familiar with Unix command line operations.

Recommended for

  • Developers working with APIs
  • Data analysts dealing with JSON data
  • System administrators needing to parse JSON in shell scripts
  • Anyone looking for efficient JSON data processing on the command line

JSON to CSV videos

+ Add

Python Json Tutorial: Read And Write Json And Convert Json To CSV || Fix Json Errors

More videos:

  • Review - Converting FHIR JSON to CSV with Flexter

jq videos

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JQ Racing THECar Black Edition - Velocity RC Cars Magazine Review

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Category Popularity

0-100% (relative to JSON to CSV and jq)

JSON to CSV

jq

Linux
100 100%
Linux
0% 0
File Manager
0 0%
File Manager
100% 100
Web App
100 100%
Web App
0% 0
File Explorer
0 0%
File Explorer
100% 100

User comments

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Social recommendations and mentions

Based on our record, jq seems to be a lot more popular than JSON to CSV. While we know about 162 links to jq, we've tracked only 4 mentions of JSON to CSV. 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 to CSV mentions (4)

  • 5 useful JSON tools to improve your productivity
    There exist many different tools that help convert JSON data to other formats like XML, CSV, YAML, etc. One tool that I've liked within this category is Konklone.io, built by Eric Mill, because it acts as a lightweight and simple tool to help quickly convert JSON data into CSV. - Source: dev.to / about 2 years ago
  • Exporting music play history for Last.fm
    That spits back a bunch of JSON code in the browser that I saved as a text file. I then used a website like JSON TO CSV Converter to convert the JSON to a tabular csv format. The result is a table that has a row for each time I listened to the track, when and how long I listened to it as well as the other standard data like which app and platform I used to listen, the track information such as album, artist etc. Source: over 3 years ago
  • Downloading Your Macros
    Https://konklone.io/json/ has always worked well for me. Source: over 3 years ago
  • How to I search for a specific tag and can I export the results as a textfile or spreatsheat?
    I used Overpass Turbo to search for shop=*, then export > copy geojson, paste into https://konklone.io/json/ and then downloaded the csv file to open in Excel. Source: almost 4 years ago

jq mentions (162)

  • Choosing A Template Engine: The More Powerful Problem
    Therefore, if I have to choose one right now, I would probably go for Mustache, and a JSON processor such as jq as a glue if needed. - Source: dev.to / 22 days ago
  • Ruff and Ready: Linting Before the Party
    I am lazy person, so I worked harder and wrote a small jq script to generate a list of rules to go into the select key in ruff.lint section:. - Source: dev.to / about 1 month ago
  • Useful too to work with your JSON files - jq
    "jq is a lightweight and flexible command-line JSON processor" from the jq https://stedolan.github.io/jq/. - Source: dev.to / over 3 years ago
  • Replay failed stripe events via webhook
    Make sure you have both the Stripe CLI and jq installed before running this command. - Source: dev.to / 6 months ago
  • Transforming JSON with AI: Dynamic Processing vs. Filter Generation
    You provide your JSON data and specify the desired transformation using natural language. The AI generates a transformation filter, often using JQ under the hood, that you can apply to your data. - Source: dev.to / 7 months ago
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What are some alternatives?

When comparing JSON to CSV and jq, you can also consider the following products

Dadroit JSON Viewer - Open a 1GB JSON file in a blink 💣

fx - Command-line JSON processing tool

OneSchema - Import customer CSV data 10x faster

jello - jello is a command line tool that filters JSON data using pure python syntax.

CSV Explorer - Explore Spreadsheets with Millions of Rows

fzf - A command-line fuzzy finder written in Go

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