Dadroit JSON Viewer VS JSON to CSV

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

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

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

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

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

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 1 year ago

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 2 years ago

Https://konklone.io/json/ has always worked well for me. Source: over 2 years ago

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 3 years ago