Skip to main content

Fast and scalable Gaussian Processes in 1D

Project description

celerite2

celerite is an algorithm for fast and scalable Gaussian Process (GP) Regression in one dimension and this library, celerite2 is a re-write of the original celerite project to improve numerical stability and integration with various machine learning frameworks. Documentation for this version can be found here. This new implementation includes interfaces in Python and C++, with full support for Theano/PyMC3 and JAX.

This documentation won't teach you the fundamentals of GP modeling but the best resource for learning about this is available for free online: Rasmussen & Williams (2006). Similarly, the celerite algorithm is restricted to a specific class of covariance functions (see the original paper for more information and a recent generalization for extensions to structured two-dimensional data). If you need scalable GPs with more general covariance functions, GPyTorch might be a good choice.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

celerite2-0.2.1rc1.tar.gz (943.6 kB view details)

Uploaded Source

Built Distributions

celerite2-0.2.1rc1-cp310-cp310-win_amd64.whl (957.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

celerite2-0.2.1rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (922.1 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

celerite2-0.2.1rc1-cp310-cp310-macosx_11_0_arm64.whl (773.4 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.2.1rc1-cp39-cp39-win_amd64.whl (959.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

celerite2-0.2.1rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (922.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

celerite2-0.2.1rc1-cp39-cp39-macosx_11_0_arm64.whl (773.9 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.2.1rc1-cp38-cp38-win_amd64.whl (957.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

celerite2-0.2.1rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (921.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

celerite2-0.2.1rc1-cp38-cp38-macosx_11_0_arm64.whl (773.4 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_x86_64.whl (1.3 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

celerite2-0.2.1rc1-cp37-cp37m-win_amd64.whl (958.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

celerite2-0.2.1rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (922.8 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

celerite2-0.2.1rc1-cp37-cp37m-macosx_10_9_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

celerite2-0.2.1rc1-cp36-cp36m-win_amd64.whl (959.9 kB view details)

Uploaded CPython 3.6m Windows x86-64

celerite2-0.2.1rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (922.2 kB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

celerite2-0.2.1rc1-cp36-cp36m-macosx_10_9_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

File details

Details for the file celerite2-0.2.1rc1.tar.gz.

File metadata

  • Download URL: celerite2-0.2.1rc1.tar.gz
  • Upload date:
  • Size: 943.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1.tar.gz
Algorithm Hash digest
SHA256 c6fc6f17448b2f307121ea670a9c2c9ea4ac25c73fbeb7ad20660a1035ebea3c
MD5 b06f2d3cb2e6faff2ca48814804122d7
BLAKE2b-256 aec4be5813f5987dbcebba1a27fce2f3f1db22c475b6891cd988371c20b5100f

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 957.9 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b819b36bbc8061e55c40beeced7643b311bf067c872e51c6bebc3e152de82d86
MD5 bab69c2746f848bcf0967a8c2475dcd2
BLAKE2b-256 aa2e597709269e7ab98c6c9c5bc64e3569e9f1f3ea6865dfd09c20bdb4422c32

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.2.1rc1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 846e53825b8567006b41ec8889623e29e4651a7a186b216a1e2649947acab431
MD5 05b9168ab89e5cfe5775fa8ea528ec8b
BLAKE2b-256 0e74e0e95443c1d0695c138e5ff197d25b6957ad0c8b361b9cf7a8f9b4ed2bde

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 773.4 kB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2517f390cd86b9197f1bd26b62a3e5913ae415d8a8d607d2ac453f401117cf7c
MD5 422b625ca0c83d610f3fc662b62fc2d0
BLAKE2b-256 a69e0496945a92e1bdb918f0bb9b719d1f983ec20390de519231a90b119feffb

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3644786df678d9b109cf43097115ee1cf79aa2f4d54c9600545af458445a7ea6
MD5 d1826c4ece5833aea3ffec5dc9c76eea
BLAKE2b-256 8fde3b73e291f9c6f3330ae2a286dcf6c8c3ac0a6fad66932c20e8737f56f505

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.10, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 889321251cc887dfa02a78d74a18725caa003951680d63697ef19cedb341d452
MD5 f23624290705864b6269a77517917ea9
BLAKE2b-256 71df253cda8cc684e87818011d31a769199884c983bd276e6765e858ca077838

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 959.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b5971d2b02edf13d9ca445e3578987d76efdca3ba208ba3c9839e5f23f970693
MD5 b8493a10702cebe2e0b20394bf8e22a9
BLAKE2b-256 d1789ee07ad43ac017b0f65a57f0b0435537e6c6edf119473664135981a2040a

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.2.1rc1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d9f640fff77d4c0a31212de68e66cf1cb07595be30778802e68a8d61cf59222d
MD5 d3ea1d9d9517fe37b27e7f2fb47919de
BLAKE2b-256 39f6198e97c2e81da1683f559257ab93962fbd6501d4f154b248707b84420c97

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 773.9 kB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a05c8bf63f9d30637ccb925f581aa7e6787f0dd1985957ca93361c4a06011448
MD5 19953ae1f50d040a702a351da20e247d
BLAKE2b-256 4b5ee210ec6f17e91925501269af65acd4c6fb1a75d344b6eaa5052ad5f99264

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f1cbafe461203a4e9c58a3610abfe1f111fb67d947dd2c67c3b2045e6dec99ae
MD5 7a63f71ea15f5f48b26fecc33c9cabf8
BLAKE2b-256 743591dd92139d263a70cacd8f0cf4faa81bd1feeba11327683272a175c01bb7

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.9, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 71f4fd565007e7aa46f6fca71a4f6a67d37ee045fe3ce45eb13b8cfa3c66a8ba
MD5 c229124a98e1faa9b355f43c1b385474
BLAKE2b-256 a17dd3e55bbd9489345f6642e024d2a7b3556521ee0e0fc8099e6644c0fddbb5

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 957.7 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9a4e34a8cf48433c37c3fe937c4c4d5c76c9b7d2e0c8e0858f6a4a451e40e1b0
MD5 4641d608dfefe7452c0a71d30b7d8592
BLAKE2b-256 9f9e6caabf56e24904006e474f8681d973c0c311cb195d65216c8439797d00db

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.2.1rc1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 571df53b070b8b143c5bfdc3f61e3036b597973c095af36f4eb119e82b402599
MD5 e84b61164a20a6eff6c6327e3b89418a
BLAKE2b-256 d0778eef9906a4d128e3012a4aca85d7cdd403ba474cc74f32076b970527bf21

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 773.4 kB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7acadb770b4a62a9b17600f61c4ea1012583f13ade7f28048b8e7a2e75aee467
MD5 59443b5f79fa32ab8f8bd6e152bf9b97
BLAKE2b-256 b7ca2dabdf4044c95d818d2bb7b55041c4a95e8dee4347bab354c898eaa549d8

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3918b51ea1089c2c80e7fcd2a21d258051df2d035aa8c8e6e08cc4a74fa36fd7
MD5 f5588b95da57c3a7cb68f072ece2d55b
BLAKE2b-256 c6eaa8005efe29a3159ee33070733ef326298ef2fe04502ed80c70813f9a286f

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_universal2.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, macOS 10.9+ universal2 (ARM64, x86-64)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 3cb4ea5523feff40eb5f4f27da3107f5de8011ad5a017f0640bf25473ceb8917
MD5 91d044f4cdcf94ed80040e06939097e2
BLAKE2b-256 51fc7c060286764f89778730d539260f42f7fe074809606350daab57c2cb9e13

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 958.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e6841257af932ac2006e1a32868934e59e7ee251200c704a8a8f95e111ed782a
MD5 1148b448232f4c0e530c8aa2d4646fea
BLAKE2b-256 447bacc62415aedf1ea1085db09699196c559ddaabcecf9610693db392d05904

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.2.1rc1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 545cd1ff45c3d3e8d090f3550fa6469f1b562400258a5afb00739b4e1550dee3
MD5 cb6a0d0f8c53f4958e174d2a1d96541a
BLAKE2b-256 2198a071e8f436eb88ebfc807069e9032a5121b65941cac6bee9eb47cdff7672

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp37-cp37m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.7m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d718b6d526aa06e6ecfe64dab15a8fb5911830a12afdbccebadd64723f406ca3
MD5 47a44b99cdc120358508bf81cf119b3e
BLAKE2b-256 8c67993fd2f7d5197a7c601e02d1034fde684afcd5fb47719698e072b46b4d54

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 959.9 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 0cc2346af3723e0ba6597898150684e91382ea050c4e7b8ae689f1daad4e166b
MD5 f16c82627d40cc40625a9c1e2fb3d2bb
BLAKE2b-256 34b990bed0cd1820b4510493845390917f92b606ecce7e16bf63e13556377b0d

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for celerite2-0.2.1rc1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9f73a512ce1ddc7a64a333fc596c07d596a3aea8c34f0e6ba1c37f3fb498633d
MD5 0874adbe35c823883e228e6f3ef35fd4
BLAKE2b-256 15edc78475ec8e71cefe5e4abae8a722b048a657a734a2b811d199e8b8f44869

See more details on using hashes here.

File details

Details for the file celerite2-0.2.1rc1-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: celerite2-0.2.1rc1-cp36-cp36m-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.6m, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for celerite2-0.2.1rc1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 268a0e1a722a63bc44e23e4f8a746e3e9df07384a2b20efa8821b13465359e9b
MD5 19727b885b3a966c5cbe9317f09c06a5
BLAKE2b-256 df5845828970aca3e02125a574ed06332c50b49448a5551b2588b98f5a3a583a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page