pnoise
pnoise is a pure-Python, Numpy-based, vectorized port of Processing's noise() function. The p in pnoise stands for Processing, Perlin, Python, "port", and probably other things I haven't though of yet.
Why?
I wrote this port before switching to vnoise and, although I'm no longer using it, I figured I would keep it around.
How does it compare to vnoise?
| pnoise | vnoise | |
|---|---|---|
| Algorithm | "classic Perlin noise of 1983" | "Perlin improved noise" |
| License | LGPL v2.1 | MIT |
| Scalar API | ✅ | ✅ |
| Vectorized API | ✅ | ✅ |
| 3D function | ✅ | ✅ |
| 2D function | ❌ (can be derived from 3D but slower) | ✅ |
| 1D function | ❌ (can be derived from 3D but slower) | ✅ |
See a performance comparison here.
Installation
pip install pnoise
License
LGPL 2.1, see LICENSE file.
Metadata
Release files for pnoise 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pnoise-0.2.0.tar.gz | 12.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pnoise-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.1 kB
Release files / pnoise-0.2.0.tar.gz
| Download URL | pnoise-0.2.0.tar.gz |
|---|---|
| Size | 12.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
76383310d602bcc7ed2355cd334f8ebc5b88e71d5bfdfee32d1b93d3981972cf
|
|
BLAKE2b-256 checksum How to use checksums |
19852f7764b1e453e2178d742441f9f4733e521c370475c21bce086dd69218c1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.13
|
Release files / pnoise-0.2.0-py3-none-any.whl
| Download URL | pnoise-0.2.0-py3-none-any.whl |
|---|---|
| Size | 13.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
953afe8710033b5a0fc5578ba67c2e6cee8e9669b4dffe7680b641acc46f87a3
|
|
BLAKE2b-256 checksum How to use checksums |
5156ef362cbde8f74326c9231579d14823193e22d343a2b046ac36f37d07e29b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.13
|