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
Raw data
{
"_id": null,
"home_page": "https://github.com/caseman/noise",
"name": "noise",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "Casey Duncan",
"author_email": "casey.duncan@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/18/29/bb830ee6d934311e17a7a4fa1368faf3e73fbb09c0d80fc44e41828df177/noise-1.2.2.tar.gz",
"platform": "UNKNOWN",
"description": "Perlin noise is ubiquitous in modern CGI. Used for procedural texturing,\nanimation, and enhancing realism, Perlin noise has been called the \"salt\" of\nprocedural content. Perlin noise is a type of gradient noise, smoothly\ninterpolating across a pseudo-random matrix of values.\n\nThe noise library includes native-code implementations of Perlin \"improved\"\nnoise and Perlin simplex noise. It also includes a fast implementation of\nPerlin noise in GLSL, for use in OpenGL shaders. The shader code and many of\nthe included examples require Pyglet (http://www.pyglet.org), the native-code\nnoise functions themselves do not, however.\n\nThe Perlin improved noise functions can also generate fBm (fractal Brownian\nmotion) noise by combining multiple octaves of Perlin noise. Shader functions\nfor convenient generation of turbulent noise are also included.\n\n- 1.2.2 AppVeyor support for Windows builds (Thanks to Federico Tomassetti)\n\n- 1.2.1 Fixes MSVC compatibility (Thanks to Christoph Gohlke)\n\n- 1.2.0 adds 4D simplex noise, tiling for 2D simplex noise, \n and parameterized lacunarity\n\nSee CHANGES.txt for more details",
"bugtrack_url": null,
"license": "UNKNOWN",
"summary": "Perlin noise for Python",
"version": "1.2.2",
"project_urls": {
"Download": "UNKNOWN",
"Homepage": "https://github.com/caseman/noise"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "9718db50ecc1d5614d78243707a36fb5a763606dc936b436124c586516de77b4",
"md5": "79925e594a5903a06abf0592d56c4619",
"sha256": "f7ef26a4c334224e7763e740fc945c26c0abf9ba51a19d4f5befa1d20d7da0b7"
},
"downloads": -1,
"filename": "noise-1.2.2-cp27-none-win32.whl",
"has_sig": false,
"md5_digest": "79925e594a5903a06abf0592d56c4619",
"packagetype": "bdist_wheel",
"python_version": "2.7",
"requires_python": null,
"size": 28448,
"upload_time": "2015-03-29T03:06:33",
"upload_time_iso_8601": "2015-03-29T03:06:33.823819Z",
"url": "https://files.pythonhosted.org/packages/97/18/db50ecc1d5614d78243707a36fb5a763606dc936b436124c586516de77b4/noise-1.2.2-cp27-none-win32.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3a06d4d17ccc9e2fff8de3f60922aa774e09e510e983659b7bd3559eac2056ce",
"md5": "9b69590f81cfc3b89634ad9981ff921a",
"sha256": "15582a58c9ee79b07436a1220bd6c4145266865262d1e6478d37a08b7d910da8"
},
"downloads": -1,
"filename": "noise-1.2.2-cp27-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "9b69590f81cfc3b89634ad9981ff921a",
"packagetype": "bdist_wheel",
"python_version": "2.7",
"requires_python": null,
"size": 28774,
"upload_time": "2015-03-29T03:06:58",
"upload_time_iso_8601": "2015-03-29T03:06:58.736797Z",
"url": "https://files.pythonhosted.org/packages/3a/06/d4d17ccc9e2fff8de3f60922aa774e09e510e983659b7bd3559eac2056ce/noise-1.2.2-cp27-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "39f2f704056986fba80479ed3b1c32220bfe19b37478855bd15f4a8fa79bfc5b",
"md5": "2337c1f9a13aadafed54c043be9e8265",
"sha256": "93ac2977cf0e8f5cb90a2e828a5dfefc438bfb1fb8d7fd1ee305f05eadc8578e"
},
"downloads": -1,
"filename": "noise-1.2.2-cp33-none-win32.whl",
"has_sig": false,
"md5_digest": "2337c1f9a13aadafed54c043be9e8265",
"packagetype": "bdist_wheel",
"python_version": "3.3",
"requires_python": null,
"size": 28120,
"upload_time": "2015-03-29T03:05:35",
"upload_time_iso_8601": "2015-03-29T03:05:35.934511Z",
"url": "https://files.pythonhosted.org/packages/39/f2/f704056986fba80479ed3b1c32220bfe19b37478855bd15f4a8fa79bfc5b/noise-1.2.2-cp33-none-win32.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "197cf76e505f5d67d747f88dca87d8e233b48c3db75ea439b0a2107e821fe0e5",
"md5": "15d0a1550f05ffedb8e7db4a5c8790bd",
"sha256": "20d1c89a2b8c3714abe5a5fa653b3ab9ab01aee1475993b8bdb9d5e26bc081cc"
},
"downloads": -1,
"filename": "noise-1.2.2-cp33-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "15d0a1550f05ffedb8e7db4a5c8790bd",
"packagetype": "bdist_wheel",
"python_version": "3.3",
"requires_python": null,
"size": 28796,
"upload_time": "2015-03-29T03:06:01",
"upload_time_iso_8601": "2015-03-29T03:06:01.787157Z",
"url": "https://files.pythonhosted.org/packages/19/7c/f76e505f5d67d747f88dca87d8e233b48c3db75ea439b0a2107e821fe0e5/noise-1.2.2-cp33-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "a54e1e6bc23832f1632951f7a42a0cd8b29d51f9b59917f90297eb51fab37e4a",
"md5": "e92a67aeb721f432c755e63e81ee6fe3",
"sha256": "f82933563ef89651865cc7cbfab11721a2229f5c6c8c009a041be4fb887949f2"
},
"downloads": -1,
"filename": "noise-1.2.2-cp34-none-win32.whl",
"has_sig": false,
"md5_digest": "e92a67aeb721f432c755e63e81ee6fe3",
"packagetype": "bdist_wheel",
"python_version": "3.4",
"requires_python": null,
"size": 28113,
"upload_time": "2015-03-29T03:04:13",
"upload_time_iso_8601": "2015-03-29T03:04:13.650673Z",
"url": "https://files.pythonhosted.org/packages/a5/4e/1e6bc23832f1632951f7a42a0cd8b29d51f9b59917f90297eb51fab37e4a/noise-1.2.2-cp34-none-win32.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "614ac6fcde5bbd84c3ddf2bc0111012f2afcc65e2e7e42a187561dca0c39a9c3",
"md5": "3a26872f035e10d0bfedb443f4b957b8",
"sha256": "065be3531a6b7a7dfcb6840646400a75e081511c524caa04feaea11e16e7ab24"
},
"downloads": -1,
"filename": "noise-1.2.2-cp34-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "3a26872f035e10d0bfedb443f4b957b8",
"packagetype": "bdist_wheel",
"python_version": "3.4",
"requires_python": null,
"size": 28800,
"upload_time": "2015-03-29T03:05:06",
"upload_time_iso_8601": "2015-03-29T03:05:06.056946Z",
"url": "https://files.pythonhosted.org/packages/61/4a/c6fcde5bbd84c3ddf2bc0111012f2afcc65e2e7e42a187561dca0c39a9c3/noise-1.2.2-cp34-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "db6d86851d73996a02cb7b06cd62d36ce7d313d2309b7dff2eedcdc846dd10d5",
"md5": "50b53a23d4543317612facb63d5b7217",
"sha256": "0d3c51b538dfbbea85cbcf9fc4418ae5210136f5e39948968392a6d4f3cd39b0"
},
"downloads": -1,
"filename": "noise-1.2.2-py2.7-win32.egg",
"has_sig": false,
"md5_digest": "50b53a23d4543317612facb63d5b7217",
"packagetype": "bdist_egg",
"python_version": "2.7",
"requires_python": null,
"size": 43017,
"upload_time": "2015-03-29T03:03:11",
"upload_time_iso_8601": "2015-03-29T03:03:11.455769Z",
"url": "https://files.pythonhosted.org/packages/db/6d/86851d73996a02cb7b06cd62d36ce7d313d2309b7dff2eedcdc846dd10d5/noise-1.2.2-py2.7-win32.egg",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "447ebce759e3649a89e564741d91c0ef5e123b55638d5cfe1f405a13b3b9272a",
"md5": "2b6c919485bc7891ed45a308f528ed7c",
"sha256": "fae41762d6b7a0a1e360ec4cb03260b6abcc302b2244a3feefdfbf52ffd612c9"
},
"downloads": -1,
"filename": "noise-1.2.2-py2.7-win-amd64.egg",
"has_sig": false,
"md5_digest": "2b6c919485bc7891ed45a308f528ed7c",
"packagetype": "bdist_egg",
"python_version": "2.7",
"requires_python": null,
"size": 43364,
"upload_time": "2015-03-29T03:03:37",
"upload_time_iso_8601": "2015-03-29T03:03:37.356602Z",
"url": "https://files.pythonhosted.org/packages/44/7e/bce759e3649a89e564741d91c0ef5e123b55638d5cfe1f405a13b3b9272a/noise-1.2.2-py2.7-win-amd64.egg",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "cacdc949ca37845afb682ad16fa5977b8a9c3a6d297491af79234476cb6cb041",
"md5": "9fd475ad0ebd1fe6dc4c24c0d58d4eeb",
"sha256": "a15336cea59c74f1b3b2bf03b76600a3d59b0e557da1219176b9ca216dca8a91"
},
"downloads": -1,
"filename": "noise-1.2.2-py3.3-win32.egg",
"has_sig": false,
"md5_digest": "9fd475ad0ebd1fe6dc4c24c0d58d4eeb",
"packagetype": "bdist_egg",
"python_version": "3.3",
"requires_python": null,
"size": 43395,
"upload_time": "2015-03-29T03:01:44",
"upload_time_iso_8601": "2015-03-29T03:01:44.759103Z",
"url": "https://files.pythonhosted.org/packages/ca/cd/c949ca37845afb682ad16fa5977b8a9c3a6d297491af79234476cb6cb041/noise-1.2.2-py3.3-win32.egg",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "6746ec01f4b827da658b7f0b5a2e6be19d948c7a22892e14c214a41474ccff75",
"md5": "3241ae10d7041a394ad86de8ac6fb9c8",
"sha256": "0191e19e77be1018f5548e75125de1c6aec11a75a8693bb5f8f8106b63561ed8"
},
"downloads": -1,
"filename": "noise-1.2.2-py3.3-win-amd64.egg",
"has_sig": false,
"md5_digest": "3241ae10d7041a394ad86de8ac6fb9c8",
"packagetype": "bdist_egg",
"python_version": "3.3",
"requires_python": null,
"size": 44102,
"upload_time": "2015-03-29T03:02:22",
"upload_time_iso_8601": "2015-03-29T03:02:22.126841Z",
"url": "https://files.pythonhosted.org/packages/67/46/ec01f4b827da658b7f0b5a2e6be19d948c7a22892e14c214a41474ccff75/noise-1.2.2-py3.3-win-amd64.egg",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "9940f4348ef907f43d9a1e4e0a6029d0f62159642772bfb8396d8d62cb277a51",
"md5": "cfadb83710913929513d59f6c64d3b66",
"sha256": "001782e0b67c260e734e48a409641707f502ee4cd186a74e6bda881fb3c44427"
},
"downloads": -1,
"filename": "noise-1.2.2-py3.4-win32.egg",
"has_sig": false,
"md5_digest": "cfadb83710913929513d59f6c64d3b66",
"packagetype": "bdist_egg",
"python_version": "3.4",
"requires_python": null,
"size": 43941,
"upload_time": "2015-03-29T03:00:36",
"upload_time_iso_8601": "2015-03-29T03:00:36.230292Z",
"url": "https://files.pythonhosted.org/packages/99/40/f4348ef907f43d9a1e4e0a6029d0f62159642772bfb8396d8d62cb277a51/noise-1.2.2-py3.4-win32.egg",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "23ddd14040c0041371380b23e81349a361812fa093b3921cea3b3c054b79de20",
"md5": "f2b7ef402459cd414ebcd8137cc585cd",
"sha256": "a476b2b62efa56b777c5a04566930aa47cfda43eda0e744a39b55056e763064f"
},
"downloads": -1,
"filename": "noise-1.2.2-py3.4-win-amd64.egg",
"has_sig": false,
"md5_digest": "f2b7ef402459cd414ebcd8137cc585cd",
"packagetype": "bdist_egg",
"python_version": "3.4",
"requires_python": null,
"size": 44660,
"upload_time": "2015-03-29T03:01:08",
"upload_time_iso_8601": "2015-03-29T03:01:08.968282Z",
"url": "https://files.pythonhosted.org/packages/23/dd/d14040c0041371380b23e81349a361812fa093b3921cea3b3c054b79de20/noise-1.2.2-py3.4-win-amd64.egg",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "1829bb830ee6d934311e17a7a4fa1368faf3e73fbb09c0d80fc44e41828df177",
"md5": "d179f1490c1b55c57b0f0cad99832a10",
"sha256": "57a2797436574391ff63a111e852e53a4164ecd81ad23639641743cd1a209b65"
},
"downloads": -1,
"filename": "noise-1.2.2.tar.gz",
"has_sig": false,
"md5_digest": "d179f1490c1b55c57b0f0cad99832a10",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 125615,
"upload_time": "2015-03-29T02:57:45",
"upload_time_iso_8601": "2015-03-29T02:57:45.115988Z",
"url": "https://files.pythonhosted.org/packages/18/29/bb830ee6d934311e17a7a4fa1368faf3e73fbb09c0d80fc44e41828df177/noise-1.2.2.tar.gz",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "33805741a56563690255933ed5ca4e7fa9453c6a309e052ee2eac3b18a823b58",
"md5": "42867e2625b99defc549bc9d3ed76379",
"sha256": "36036cdaca131ddd2ab4397fba649af7f074ec08031e1e0a51031d0ae23b509a"
},
"downloads": -1,
"filename": "noise-1.2.2.zip",
"has_sig": false,
"md5_digest": "42867e2625b99defc549bc9d3ed76379",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 132011,
"upload_time": "2015-03-29T02:57:56",
"upload_time_iso_8601": "2015-03-29T02:57:56.680809Z",
"url": "https://files.pythonhosted.org/packages/33/80/5741a56563690255933ed5ca4e7fa9453c6a309e052ee2eac3b18a823b58/noise-1.2.2.zip",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2015-03-29 02:57:45",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "caseman",
"github_project": "noise",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"appveyor": true,
"lcname": "noise"
}