Software Alternatives & Reviews

Dadroit JSON Viewer VS Modern CSV

Compare Dadroit JSON Viewer VS Modern CSV and see what are their differences

Dadroit JSON Viewer logo Dadroit JSON Viewer

Open a 1GB JSON file in a blink 💣

Modern CSV logo Modern CSV

A CSV editor/viewer
  • Dadroit JSON Viewer Landing page
    Landing page //
    2022-12-28
  • Modern CSV Landing page
    Landing page //
    2023-08-18

Modern CSV is an intuitive editor for tabular data. Its capabilities include: - Multi-cell editing - Quick loading of large files - Filter and sort data - Find/replace data with regular expressions

Dadroit JSON Viewer

Pricing URL
-
$ Details
-
Platforms
-

Modern CSV

$ Details
freemium $29.0 / One-off (Valid for the current major version.)
Platforms
Windows Mac OSX Linux

Category Popularity

0-100% (relative to Dadroit JSON Viewer and Modern CSV)
Linux
36 36%
64% 64
CSV Editors
0 0%
100% 100
Web App
100 100%
0% 0
Productivity
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Dadroit JSON Viewer seems to be more popular. It has been mentiond 10 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.

Dadroit JSON Viewer mentions (10)

  • Exploring the Transparency in Coverage final rule – a petabyte of data a month
    For anyone interested in exploring the data yourself, here are a few tools https://dadroit.com/: desktop tool for processing large JSON files.There’s a free version so you can get pretty far with it if you’re patient https://www.dolthub.com/repositories/dolthub/quest: they’re running a bounty program for some healthcare providers to process the machine readable files, and have some useful code snippets in case... - Source: Hacker News / over 1 year ago
  • A Guided Introduction to the Free Pascal Language
    Note for people who don't know much about FreePascal. It is a full-featured and very fast compiler. The resulting program is a rival for the best output of C/CPP compilers. It can be used in the style of simpler languages like Go and is almost as safe as Rust in a much faster manner. It has a great but old-looking IDE, Lazarus. It has been under active development for decades and is used for proper projects like:... - Source: Hacker News / over 1 year ago
  • help utilizing the healthcare price transparency data from insurers (that have been published since July 1)
    The files are insanely large. Eventually the only way I've been able to open them is using the DADROIT large JSON viewer: http://dadroit.com (but even this only worked when I got an M1 Mac). Source: over 1 year ago
  • Jsonhero.io: Enhanced JSON structure visualization
    For those looking for the ability to (locally) open and query very large JSON files, Dadroit is great: https://dadroit.com. It's been a while since I used it last, but it was a life saver for me when working with JSON lines files in S3 and Kafka log dumps. A side tidbit, IIRC, it was written in Pascal. - Source: Hacker News / over 1 year ago
  • Optimizing massive MongoDB inserts, load 50 million records faster by 33%!
    You can review all the contents of it, but generally, there is one big 5GB JSON file — yelp_academic_dataset_review.json it contains 6,9 🍋 JSON records. Use Dadroid to review massive JSON files. - Source: dev.to / over 1 year ago
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Modern CSV mentions (0)

We have not tracked any mentions of Modern CSV yet. Tracking of Modern CSV recommendations started around Mar 2021.

What are some alternatives?

When comparing Dadroit JSON Viewer and Modern CSV, you can also consider the following products

Jayson - Powerful JSON viewer for iPhone and iPad

Rons CSV Editor - Rons CSV Editor / Now Rons Data Edit

JSON Generator - Create mock and sample JSON using a powerful template syntax

ReCsvEditor - Csv / Tsv / Delimited file editor. Supports for very large Files.

Jason - Infinitely hackable mobile client

CSV Editor Pro - The professional choice for working with CSV files.