Skip to main content

A data analysis framework for exoplanet detection

Project description

Logo created by Solène Ulmer-Moll

A data analysis framework for exoplanet detection


Button Shield

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

kima-6.1.1.tar.gz (6.6 MB view details)

Uploaded Source

Built Distributions

kima-6.1.1-cp312-abi3-win_amd64.whl (2.5 MB view details)

Uploaded CPython 3.12+ Windows x86-64

kima-6.1.1-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.12+ manylinux: glibc 2.17+ x86-64

kima-6.1.1-cp312-abi3-macosx_11_0_arm64.whl (2.3 MB view details)

Uploaded CPython 3.12+ macOS 11.0+ ARM64

kima-6.1.1-cp312-abi3-macosx_10_15_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.12+ macOS 10.15+ x86-64

kima-6.1.1-cp311-cp311-win_amd64.whl (2.5 MB view details)

Uploaded CPython 3.11 Windows x86-64

kima-6.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

kima-6.1.1-cp311-cp311-macosx_11_0_arm64.whl (2.4 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

kima-6.1.1-cp311-cp311-macosx_10_15_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.11 macOS 10.15+ x86-64

kima-6.1.1-cp310-cp310-win_amd64.whl (2.5 MB view details)

Uploaded CPython 3.10 Windows x86-64

kima-6.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

kima-6.1.1-cp310-cp310-macosx_11_0_arm64.whl (2.4 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

kima-6.1.1-cp310-cp310-macosx_10_15_x86_64.whl (2.6 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

kima-6.1.1-cp39-cp39-win_amd64.whl (2.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

kima-6.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

kima-6.1.1-cp39-cp39-macosx_11_0_arm64.whl (2.4 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

kima-6.1.1-cp39-cp39-macosx_10_15_x86_64.whl (2.6 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

kima-6.1.1-cp38-cp38-win_amd64.whl (2.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

kima-6.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

kima-6.1.1-cp38-cp38-macosx_11_0_arm64.whl (2.4 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

kima-6.1.1-cp38-cp38-macosx_10_15_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

File details

Details for the file kima-6.1.1.tar.gz.

File metadata

  • Download URL: kima-6.1.1.tar.gz
  • Upload date:
  • Size: 6.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for kima-6.1.1.tar.gz
Algorithm Hash digest
SHA256 5c518b2f03fe59b26d2ec991905b9ee2ba73b28c96f4d920070be2b5742d495b
MD5 f03128ef0b02f420f9054937d7b04f02
BLAKE2b-256 dca84260778a78c8d4e00b0dc288f5871fcd4996ffba5aedfb5f180b4d46c80e

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp312-abi3-win_amd64.whl.

File metadata

  • Download URL: kima-6.1.1-cp312-abi3-win_amd64.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: CPython 3.12+, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for kima-6.1.1-cp312-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 a3c8e6f449a467a0a346881640d177d6d99db9d719ec3d11cfdbb44e9124880f
MD5 4b474f0c15a4336d4f9851d827e6f497
BLAKE2b-256 be906f8ff3f0fb3b9bbfdd6c15d69aec8496264dcf2be6702452b245065c9e73

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 76ce72d8c26f780c9853cd003848331ef83e0efd193518ca0c479c767fe13a9a
MD5 868f4e87ac260a64eb322171712d988c
BLAKE2b-256 2657783d34bcf5f278d255965ce5db5d6788342e36354248fe03f9e13a6f7b00

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp312-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp312-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c5942af4849af16c981aa74774f261cafa184a9263659fd940ea38958ee3c604
MD5 58fad5afc8158663f2ea5c2de9f54b51
BLAKE2b-256 ac83e462afc9b50181fd41530f2b22a56e6ebe9b5bdcd15c87d2127bf9600b95

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp312-abi3-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp312-abi3-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 47d8b2457ace12b991364b56ce3c6d8b4dcef5069ae42d45e1395e04fd7bf025
MD5 d7426788181e3c29d834063876b41ba7
BLAKE2b-256 250edc2e058cc018a8e559ee0576bb06e813cf1752d6349259bc22989b4f8402

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: kima-6.1.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for kima-6.1.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 e53ee4f072eff0a3096cb82992483043ccfaa2605ff346cf428658b58a41bffd
MD5 ba51f057d85969a5cc988f07616c61e7
BLAKE2b-256 a5a220c3f8a768e1d60045769239623cf4c514b94a151d6d1ec3b5e7dacb85d0

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1e8d9a833bc9be303eee88b1c39fc8bb86965bad35c332d11dbe639109d0d79c
MD5 21fee383c25ddc0a0664eff604bc3604
BLAKE2b-256 eb8f718a8da0ca4da6251b28352a2a80656feaaeb59ebac1e46d83ba5061ffae

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dfe5bed1edbb852dcb2bc8978c567b3016dda031f80dd00347601c343fc5b871
MD5 fcea5888c965c6e7fd2e50d0dd83bfa5
BLAKE2b-256 902515ee75e011f3b4a058ddf7c336d0dd30e0d06b63123d75e93f002183bcf5

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 681772dcc825265b1ff2d8c492f9f4acc626b0f3b8ad06d3d6c3fa4d364b4463
MD5 015024636faa5e9368949b0ad1b30c0c
BLAKE2b-256 121b00120b68efaf35941c2c40348008b474be1c160cd487b79a7048d7ad81e4

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: kima-6.1.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for kima-6.1.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bd6187241646ffe23274318d1f13fc5f442ba8b1c2c839a44be67ca8be4fa138
MD5 f1615b6a00b75ff2746bd59fb6e326ec
BLAKE2b-256 8249dc5e1d06489c6a7da8e339f2f00292cadb476be34a1d1b564185004efbcd

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4bf23f44775f00852ae4a1af98daf95654bf475d67bc9bbea8e9b931b635ba62
MD5 6b2bf8dac1253b203cd7a553d7f86682
BLAKE2b-256 7f63d722ac94855cd3bce66d17e13effb30aefe05fd2177628252d8ed31dfb58

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0bc62345ef70220da669057150b02237358e18c5206155723191cca0d56619cc
MD5 1ca244d14837a7fb3826b8db71797c7f
BLAKE2b-256 271fa27efc3182fc5404eb0ced0ef99bf49071cf69f6703544159db71ab96fd7

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 b6057716f5a806c438b9d838793e5fde63a5314fdb8c5b6b873d8d959c79a0ea
MD5 ceee0b4a677b4035ff7672d00a0a7f66
BLAKE2b-256 50c68d089e3b14e9faa5e28131db17a4d18fc47a73d6332a473c052c8db51f80

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: kima-6.1.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for kima-6.1.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7fe845fc6ad38610ce4522afe80c8a62d5be372051353455169386e502f50348
MD5 dd292a596fda1cf88d3960f291ac0b2d
BLAKE2b-256 eefe94ecd9077dcff26127c45183ee0112b873874837e9679a82b87698a0b5dd

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 13e02f589d1de31be46058ef2eade25b87cbd0e28fffe4d7c2a0413786ea49e0
MD5 40154f47b92fe55ea37796fd577751f0
BLAKE2b-256 ef00ccd7aace6fd8f24de7aa3f8c0ba1f607db828fb7da13a02b683630734637

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f883ecf40537019b1300405c663e74ce636368bebb4f27787ae104dd58cd8b9d
MD5 dba39615ee63c3754eed87a241de6550
BLAKE2b-256 0d9af395e497d21cfef4ab1e44fc8b2423280e30cdb78846b36d168849849268

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6bff852544671272ae3010b09dee923010e8b9cd4cf3c1927464ff012fc87d59
MD5 d8e4879013064fc37290a597fa520cd5
BLAKE2b-256 86a53065da5b491eecb2512d155540d964c098c240a5767ad59a098ce13b5777

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: kima-6.1.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for kima-6.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8dffa53754d90f85e6c7bdbcfc90780d8944b36d5f168d022531eac124337761
MD5 a1b78358ca6b423802c28fbaaf10594d
BLAKE2b-256 9ac1e58cb17e1c7a6462bfa028fe91c11ce877a33fb368473cdc44b0287819e6

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 43cc68f965686efac0b5b097bf7ed37e2b5a283cc9301cbf268bb1ec0cbe5893
MD5 6eba9226952b04a6b43079761104dde7
BLAKE2b-256 ccbff738b13b5691b4190473fc25a3b9a50ef09be300e89624b081ac3dda248a

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a31e35556805c0a4062b8bd01241fa05a107bf22d81154636ea1fd35319d0dcd
MD5 a5ac76e713d57edc04827760166ce592
BLAKE2b-256 88bede3b7e8422ce7fc2529adff9facaa1959c56a8dedc679c8e7594dec8db64

See more details on using hashes here.

File details

Details for the file kima-6.1.1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for kima-6.1.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 970a4373eb98d404fcb283bab09760cb2a967e954bba35c59ae84be7cd6e4c24
MD5 60b5e2dedd3b2cb36ad3465e7ae12661
BLAKE2b-256 c5c32664da4ee34ee982563cda005104b6998c712ac0f1fbb4b72bfe09efec84

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