this post was submitted on 24 Jan 2026
50 points (94.6% liked)
Programming
24607 readers
192 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
CSV >>> JSON when dealing with large tabular data:
1 can be solved with JSONL, but 2 is unavoidable.
There ya go, problem solved without the unparseable ambiguity of CSV
Please stop using CSV.
No:
Just user Zarr or so for array data. A table with more than 200 rows isn't ”human readable” anyway.
Yes..but compression
And with csv you just gotta pray that you're parser parses the same as their writer..and that their writer was correctly implemented..and they set the settings correctly
Compression adds another layer of complexity for parsing.
JSON can also have configuration mismatch problems. Main one that comes to mind is case (in)sensitivity for keys.
Nahh your nitpicking there, large csvs are gonna be compressed anyways
In practice I've never met a Json I cant parse, every second csv is unparseable