Qalculate!
SpeedCrunch
SpeQ Mathematics
NumWorks
Calcbot for Apple Watch
Numi App
Soulver
Do maths like a normal person.

Airtable
SQL Chat
LSD
Outerbase
mlsql
Fieldbook
Turso
Communicate with databases like a human
Which is more popular?
Based on our record, NaSC seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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NSC
NaSC
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|---|---|---|
| Website | github.com | friendlydata.io |
| 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.

Overall verdict
Why this product is good
Recommended for
No analysis of FriendlyData yet.
Walkthroughs and reviews on video.
NASC CFI Review 1
More videos
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using NaSC and FriendlyData. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

I'm a huge fan of assistive note pads. I wish the one I use was more stable and supported multiple files and more solvers: https://parnold-x.github.io/nasc/ Hopefully more tools like this and the OP come out. - Source: Hacker News / about 5 years ago
Tracking FriendlyData since Mar 2021.
When comparing NaSC and FriendlyData, you can also consider the following products.

Qalculate! is a multiplatform multi-purpose desktop calculator.
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Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
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SpeedCrunch. SpeedCrunch is a high-precision scientific calculator featuring a fast, keyboard-driven user interface. It is free and open-source software, licensed under the GPL. Download Documentation Donate .
Compare SpeedCrunch to NaSC or FriendlyData:

Chat-based SQL Client and Editor for the next decade
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SpeQ is a small, extensive mathematics program with a simple, intuitive interface.
Compare SpeQ Mathematics to NaSC or FriendlyData:
