Rabbit Ear
Framer Form
Quickemu
Pepakura Designer
Human Benchmark
Slap Chris
Computer Museum
Simulate how any origami crease pattern will fold

FriendlyData
Infer SQL queries from plain-text questions and table headers.

Which is more popular?
Based on our record, Origami Simulator should be more popular than mlsql. It has been mentioned 7 times since March 2021.
Website, pricing, platforms and company facts side by side.
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OS
Origami Simulator
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| Website | origamisimulator.org | github.com |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.

Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.

No analysis of Origami Simulator yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.

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

Htis it possible to export/integrate pepakura models to origami simulator(https://origamisimulator.org/)? Source: over 3 years ago
It's better to use more modern tools. I personally use this Origami Simulator from the MIT. You just need to draw your design in Illustrator or any vector software, export it as svg, and upload it to the simulator. It has lots of... Source: over 3 years ago
It's kludgy, but you can approximate this with Fusion360's sheet metal tools. If your flat-pack is well structured, you can just throw it at Origami Simulator and export an OBJ or STL: https://origamisimulator.org/ Unsurprisingly, Amanda... - Source: Hacker News / over 3 years ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: almost 5 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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