Perlin noise for Python
Project description
Perlin noise is ubiquitous in modern CGI. Used for procedural texturing, animation, and enhancing realism, Perlin noise has been called the “salt” of procedural content. Perlin noise is a type of gradient noise, smoothly interpolating across a pseudo-random matrix of values.
The noise library includes native-code implementations of Perlin “improved” noise and Perlin simplex noise. It also includes a fast implementation of Perlin noise in GLSL, for use in OpenGL shaders. The shader code and many of the included examples require Pyglet (http://www.pyglet.org), the native-code noise functions themselves do not, however.
The Perlin improved noise functions can also generate fBm (fractal Brownian motion) noise by combining multiple octaves of Perlin noise. Shader functions for convenient generation of turbulent noise are also included.
1.2.2 AppVeyor support for Windows builds (Thanks to Federico Tomassetti)
1.2.1 Fixes MSVC compatibility (Thanks to Christoph Gohlke)
1.2.0 adds 4D simplex noise, tiling for 2D simplex noise, and parameterized lacunarity
See CHANGES.txt for more details
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
Details for the file noise-1.2.2.zip
.
File metadata
- Download URL: noise-1.2.2.zip
- Upload date:
- Size: 132.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 36036cdaca131ddd2ab4397fba649af7f074ec08031e1e0a51031d0ae23b509a |
|
MD5 | 42867e2625b99defc549bc9d3ed76379 |
|
BLAKE2b-256 | 33805741a56563690255933ed5ca4e7fa9453c6a309e052ee2eac3b18a823b58 |
File details
Details for the file noise-1.2.2.tar.gz
.
File metadata
- Download URL: noise-1.2.2.tar.gz
- Upload date:
- Size: 125.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 57a2797436574391ff63a111e852e53a4164ecd81ad23639641743cd1a209b65 |
|
MD5 | d179f1490c1b55c57b0f0cad99832a10 |
|
BLAKE2b-256 | 1829bb830ee6d934311e17a7a4fa1368faf3e73fbb09c0d80fc44e41828df177 |
File details
Details for the file noise-1.2.2-py3.4-win-amd64.egg
.
File metadata
- Download URL: noise-1.2.2-py3.4-win-amd64.egg
- Upload date:
- Size: 44.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a476b2b62efa56b777c5a04566930aa47cfda43eda0e744a39b55056e763064f |
|
MD5 | f2b7ef402459cd414ebcd8137cc585cd |
|
BLAKE2b-256 | 23ddd14040c0041371380b23e81349a361812fa093b3921cea3b3c054b79de20 |
File details
Details for the file noise-1.2.2-py3.4-win32.egg
.
File metadata
- Download URL: noise-1.2.2-py3.4-win32.egg
- Upload date:
- Size: 43.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 001782e0b67c260e734e48a409641707f502ee4cd186a74e6bda881fb3c44427 |
|
MD5 | cfadb83710913929513d59f6c64d3b66 |
|
BLAKE2b-256 | 9940f4348ef907f43d9a1e4e0a6029d0f62159642772bfb8396d8d62cb277a51 |
File details
Details for the file noise-1.2.2-py3.3-win-amd64.egg
.
File metadata
- Download URL: noise-1.2.2-py3.3-win-amd64.egg
- Upload date:
- Size: 44.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0191e19e77be1018f5548e75125de1c6aec11a75a8693bb5f8f8106b63561ed8 |
|
MD5 | 3241ae10d7041a394ad86de8ac6fb9c8 |
|
BLAKE2b-256 | 6746ec01f4b827da658b7f0b5a2e6be19d948c7a22892e14c214a41474ccff75 |
File details
Details for the file noise-1.2.2-py3.3-win32.egg
.
File metadata
- Download URL: noise-1.2.2-py3.3-win32.egg
- Upload date:
- Size: 43.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a15336cea59c74f1b3b2bf03b76600a3d59b0e557da1219176b9ca216dca8a91 |
|
MD5 | 9fd475ad0ebd1fe6dc4c24c0d58d4eeb |
|
BLAKE2b-256 | cacdc949ca37845afb682ad16fa5977b8a9c3a6d297491af79234476cb6cb041 |
File details
Details for the file noise-1.2.2-py2.7-win-amd64.egg
.
File metadata
- Download URL: noise-1.2.2-py2.7-win-amd64.egg
- Upload date:
- Size: 43.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fae41762d6b7a0a1e360ec4cb03260b6abcc302b2244a3feefdfbf52ffd612c9 |
|
MD5 | 2b6c919485bc7891ed45a308f528ed7c |
|
BLAKE2b-256 | 447ebce759e3649a89e564741d91c0ef5e123b55638d5cfe1f405a13b3b9272a |
File details
Details for the file noise-1.2.2-py2.7-win32.egg
.
File metadata
- Download URL: noise-1.2.2-py2.7-win32.egg
- Upload date:
- Size: 43.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d3c51b538dfbbea85cbcf9fc4418ae5210136f5e39948968392a6d4f3cd39b0 |
|
MD5 | 50b53a23d4543317612facb63d5b7217 |
|
BLAKE2b-256 | db6d86851d73996a02cb7b06cd62d36ce7d313d2309b7dff2eedcdc846dd10d5 |
File details
Details for the file noise-1.2.2-cp34-none-win_amd64.whl
.
File metadata
- Download URL: noise-1.2.2-cp34-none-win_amd64.whl
- Upload date:
- Size: 28.8 kB
- Tags: CPython 3.4, Windows x86-64
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 065be3531a6b7a7dfcb6840646400a75e081511c524caa04feaea11e16e7ab24 |
|
MD5 | 3a26872f035e10d0bfedb443f4b957b8 |
|
BLAKE2b-256 | 614ac6fcde5bbd84c3ddf2bc0111012f2afcc65e2e7e42a187561dca0c39a9c3 |
File details
Details for the file noise-1.2.2-cp34-none-win32.whl
.
File metadata
- Download URL: noise-1.2.2-cp34-none-win32.whl
- Upload date:
- Size: 28.1 kB
- Tags: CPython 3.4, Windows x86
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f82933563ef89651865cc7cbfab11721a2229f5c6c8c009a041be4fb887949f2 |
|
MD5 | e92a67aeb721f432c755e63e81ee6fe3 |
|
BLAKE2b-256 | a54e1e6bc23832f1632951f7a42a0cd8b29d51f9b59917f90297eb51fab37e4a |
File details
Details for the file noise-1.2.2-cp33-none-win_amd64.whl
.
File metadata
- Download URL: noise-1.2.2-cp33-none-win_amd64.whl
- Upload date:
- Size: 28.8 kB
- Tags: CPython 3.3, Windows x86-64
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 20d1c89a2b8c3714abe5a5fa653b3ab9ab01aee1475993b8bdb9d5e26bc081cc |
|
MD5 | 15d0a1550f05ffedb8e7db4a5c8790bd |
|
BLAKE2b-256 | 197cf76e505f5d67d747f88dca87d8e233b48c3db75ea439b0a2107e821fe0e5 |
File details
Details for the file noise-1.2.2-cp33-none-win32.whl
.
File metadata
- Download URL: noise-1.2.2-cp33-none-win32.whl
- Upload date:
- Size: 28.1 kB
- Tags: CPython 3.3, Windows x86
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 93ac2977cf0e8f5cb90a2e828a5dfefc438bfb1fb8d7fd1ee305f05eadc8578e |
|
MD5 | 2337c1f9a13aadafed54c043be9e8265 |
|
BLAKE2b-256 | 39f2f704056986fba80479ed3b1c32220bfe19b37478855bd15f4a8fa79bfc5b |
File details
Details for the file noise-1.2.2-cp27-none-win_amd64.whl
.
File metadata
- Download URL: noise-1.2.2-cp27-none-win_amd64.whl
- Upload date:
- Size: 28.8 kB
- Tags: CPython 2.7, Windows x86-64
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 15582a58c9ee79b07436a1220bd6c4145266865262d1e6478d37a08b7d910da8 |
|
MD5 | 9b69590f81cfc3b89634ad9981ff921a |
|
BLAKE2b-256 | 3a06d4d17ccc9e2fff8de3f60922aa774e09e510e983659b7bd3559eac2056ce |
File details
Details for the file noise-1.2.2-cp27-none-win32.whl
.
File metadata
- Download URL: noise-1.2.2-cp27-none-win32.whl
- Upload date:
- Size: 28.4 kB
- Tags: CPython 2.7, Windows x86
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f7ef26a4c334224e7763e740fc945c26c0abf9ba51a19d4f5befa1d20d7da0b7 |
|
MD5 | 79925e594a5903a06abf0592d56c4619 |
|
BLAKE2b-256 | 9718db50ecc1d5614d78243707a36fb5a763606dc936b436124c586516de77b4 |