
Airtable
mlsql
SQL Chat
Fieldbook
sqlTranslate
Outerbase
TablePlus
Communicate with databases like a human

paru
pikaur
Conda
Trizen
pacaur
Pakku
pkgsrc
Yay is an AUR helper written in go, based on the design of yaourt, apacman and pacaur.

Which is more popular?
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | friendlydata.io | github.com |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of FriendlyData yet.
Overall verdict
Why this product is good
Recommended for
Yay is recommended for intermediate to advanced Linux users who are comfortable working with the command line, particularly those using Arch Linux or its derivatives. It's especially beneficial for users who frequently install applications from the AUR.
Walkthroughs and reviews on video.
No FriendlyData videos yet. You could help us improve this page by suggesting one.
Review Mister Potato YAY - YERS Spicy Tebabo & Cheezy Wheezy 💗 Rozu Style
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using FriendlyData and Yay. For example, how are they different and which one is better?
When comparing FriendlyData and Yay, you can also consider the following products.

Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
Compare Airtable to FriendlyData or Yay:
An AUR helper written in Rust and based on the design of yay. It aims to be your standard pacman wrapping AUR helper with minimal interaction.
Compare paru to FriendlyData or Yay:

Infer SQL queries from plain-text questions and table headers.
Compare mlsql to FriendlyData or Yay:

AUR helper with minimal dependencies. Review PKGBUILDs all in once, next build them all without user interaction.Inspired by pacaur, yaourt and yay.
Compare pikaur to FriendlyData or Yay:

Chat-based SQL Client and Editor for the next decade
Compare SQL Chat to FriendlyData or Yay: