Skip to main content

A Python wrapper around the NRLMSIS model.

Project description

https://swxtrec.github.io/pymsis/_static/pymsis-logo.png

pymsis: A python wrapper of the NRLMSIS model

Zenodo PyPi Downloads GitHubActions

Pymsis is meant to be a minimal and fast Python wrapper of the NRLMSIS models. Documentation to get started quickly can be found on the home page. It includes some examples that demonstrate how to access and plot the data.

NRL Mass Spectrometer, Incoherent Scatter Radar Extended Model (MSIS)

The MSIS model is developed by the Naval Research Laboratory.

Note that the MSIS2 code is not available for commercial use without contacting NRL. See the MSIS2 license file for explicit details. We do not repackage any of the MSIS source code in this repository for that reason. However, we do provide utilities to easily download and extract the original source code. By using that code you agree to their terms and conditions.

References

Please acknowledge the University of Colorado Space Weather Technology, Research and Education Center (SWx TREC) and cite the original papers if you make use of this model in a publication.

Emmert, J. T., Drob, D. P., Picone, J. M., Siskind, D. E., Jones, M., Mlynczak, M. G., et al. (2020). NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities. Earth and Space Science, 7, e2020EA001321. https://doi.org/10.1029/2020EA001321

The Original NRLMSISE-00 paper

Picone, J. M., Hedin, A. E., Drob, D. P., and Aikin, A. C., NRLMSISE‐00 empirical model of the atmosphere: Statistical comparisons and scientific issues, J. Geophys. Res., 107( A12), 1468, doi:10.1029/2002JA009430, 2002.

Installation

The easiest way to install pymsis is to install from PyPI.

pip install pymsis

For the most up-to-date pymsis, you can install directly from the git repository

pip install git+https://github.com/SWxTREC/pymsis.git

or to work on it locally, you can clone the repository and use an editable install

git clone https://github.com/SWxTREC/pymsis.git
cd pymsis
pip install -e .

Remote installation

The installation is dependent on access to the NRL source code. If the download fails, of you have no internet access you can manually install the Fortran source code as follows.

  1. Download the source code

    The source code is hosted on the NRL’s website: https://map.nrl.navy.mil/map/pub/nrl/NRLMSIS/NRLMSIS2.0/ Download the NRLMSIS2.0.tar.gz file to your local system.

  2. Extract the source files

    The tar file needs to be extracted to a new msis2 directory in the base of the pymsis package.

    mkdir msis2
    tar -xvzf NRLMSIS2.0.tar.gz -C msis2/
  3. Install the Python package

    pip install .

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

pymsis-0.5.0.post1.tar.gz (38.8 kB view details)

Uploaded Source

Built Distributions

pymsis-0.5.0-cp311-cp311-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

pymsis-0.5.0-cp311-cp311-win32.whl (1.1 MB view details)

Uploaded CPython 3.11 Windows x86

pymsis-0.5.0-cp311-cp311-musllinux_1_1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

pymsis-0.5.0-cp311-cp311-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

pymsis-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pymsis-0.5.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

pymsis-0.5.0-cp311-cp311-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

pymsis-0.5.0-cp310-cp310-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

pymsis-0.5.0-cp310-cp310-win32.whl (1.1 MB view details)

Uploaded CPython 3.10 Windows x86

pymsis-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pymsis-0.5.0-cp310-cp310-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

pymsis-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pymsis-0.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

pymsis-0.5.0-cp310-cp310-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pymsis-0.5.0-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

pymsis-0.5.0-cp39-cp39-win32.whl (1.1 MB view details)

Uploaded CPython 3.9 Windows x86

pymsis-0.5.0-cp39-cp39-musllinux_1_1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

pymsis-0.5.0-cp39-cp39-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

pymsis-0.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pymsis-0.5.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

pymsis-0.5.0-cp39-cp39-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pymsis-0.5.0-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

pymsis-0.5.0-cp38-cp38-win32.whl (1.1 MB view details)

Uploaded CPython 3.8 Windows x86

pymsis-0.5.0-cp38-cp38-musllinux_1_1_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

pymsis-0.5.0-cp38-cp38-musllinux_1_1_i686.whl (1.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

pymsis-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pymsis-0.5.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (1.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

pymsis-0.5.0-cp38-cp38-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file pymsis-0.5.0.post1.tar.gz.

File metadata

  • Download URL: pymsis-0.5.0.post1.tar.gz
  • Upload date:
  • Size: 38.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0.post1.tar.gz
Algorithm Hash digest
SHA256 af7bc4e5cd853de688eb3b037288424105c9d46f42249d85524fc3257f5608f2
MD5 d5866e1a9e0812bdbbe29e68ca5dfaf7
BLAKE2b-256 3ee2dd6c924f4a3790c3a597dd9f9c0ad131f1046ae832e3482b98d6cd419efe

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 e5d4eea60fc4ab8d8985095002a0e1f6c571b47daae2d8acc8132c1cd97691e8
MD5 2ca7bee1f66d71778b6f292a80b2e906
BLAKE2b-256 97da6a97e247400806ff74eec2e9d780f73187992c4301e09befb2ac6b1fc0a1

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 ce76fc30d126fc617a3b7e85afdf51a3299bd2a9d5d0240282d37a8b0ffc8f9d
MD5 816f22a42dd6f58b0fc8e2c1c36095d8
BLAKE2b-256 37cbc236a7259b67e79de76d337e493533e7cc0e34204ea24e747d1529c1fcc7

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp311-cp311-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.11, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 8eeee923d0c3a7920859ed207e6c851d89d739221e00a4316e5ed67878a2e309
MD5 53cdceb293d737505da9301c6320ea06
BLAKE2b-256 3f9ed7853a139d60b7cd52724c07ec6b3c5956c97bb957e8d478ce68f8041223

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp311-cp311-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.11, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e4b3de477febf01b651e9515f718c76aef7d7b3a6834236c2545ab7eccf48015
MD5 e77cef186304bb12f08fecf42aa0b2b8
BLAKE2b-256 ae133948267f2fed761fd526c8bdb85408bfc38116ecad7624eabea5b3f26bea

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 200c5808665aef4f0f0b200c9fd4eb30fcf1a778d981f632260ca79a5e48cd46
MD5 7d84710314bbd267ef686a577758465a
BLAKE2b-256 6192507f1d37ffed2b20848ee30f0c6b3f778e7b17988706f2b5a77a563e710b

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2685d5fdd5321f85f15f556578958b634b88acf8bdd36dac610bb31825c14ba9
MD5 8f3a8eb544ff5f0264cf1b7882ab39a6
BLAKE2b-256 e214f301209879542e07346c7ebf2f3c7b6a19a91b9635f351ca58636277459f

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp311-cp311-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.11, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 79cdcaf83454d30386fdaf6b9504d8a75d189e3161a40b75cacfec5fb9f81c2b
MD5 c9379f21ad36ad4e0e10103744eb28ad
BLAKE2b-256 dc00ac0eab9491b77f894c0994ba5a70b0ce353467185749696505c48718b57c

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bd92b8db4b3c5880127ee2b3cecce4176d3398c57036294fd9b4ad09204f6c6b
MD5 56c459f74b75c7d18fde102feef5f17b
BLAKE2b-256 40a5665b49d1c229b9aa237db43d2a571bdb5901adcd7fcdaba542f0943ccc4d

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 59b56d0b7778e1c672510e2f853a040c3cc9c1f3cc1681d6bc8e5cd5faaf9814
MD5 063f122005287c1b29ae72cb7288a731
BLAKE2b-256 d4e2f0623f6e878e10830533da519d67abe36e987a4c6f3b8b0d8f0a2193a1ce

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.10, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a1bc04aac19aec9f1900262b35c57aae7e409c5073d90701b759c146ea021b75
MD5 258dfe358a9293530e7ab8213f869474
BLAKE2b-256 a1781b377a51c3167c15c657496b17db8dfe8fd6435395908db13963bbaac960

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp310-cp310-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.10, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c1840ae70421af6915c381bb46842d92eaa9abf6bc7b3e107b163663f998d390
MD5 669057f384277de265d57be1909bd78a
BLAKE2b-256 7fd338482c86cab22a607cafec4198d390e966ca076e604356c559f6dab2db87

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3f22cd96ae1be83c3f0e33163a3506b09081c7e329612b4475c5cf5419a6abf3
MD5 7f77a2ae618f28cb710c8bb9564e2ec8
BLAKE2b-256 c191f51227ecbb1157523856ece30ad51c6d29e2ef18b51a700e1f435023cfb1

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 023c1c4618a0a61be4ae6fab5a5b3bb27ba3b9aca038277c1551567a90321758
MD5 808b986c8a976062e791c33b30bc773f
BLAKE2b-256 4862be9f25ad5d4b2eb0fefa5ffa59f6155535fccaaf8f8c7b9503ffc913601a

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp310-cp310-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.10, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bdd7561f3040aeaa9e91d34556b56d2568c10d4e0cc032e1540edabff9ca7a70
MD5 3610039b2af19f8ebd6d60e8e12e5efe
BLAKE2b-256 0f8aac83d98b18223d6038f9abbc448c46a1efae539818b341e0eef8a55cbca1

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 308bd3d446e1b9866bcaa1b5d5de183b047831eceaa440bfb0f47e65f72049c9
MD5 1bc46f18b19e772f1301f0d2ed3cd499
BLAKE2b-256 1f1582fac527958e6078f6c3fa4fd3c74321d59f220152c91125543d3f2f8df3

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 2d2057934fce59e0f5461e0d1e6f2c9e10457847b074bcb4d9038b0fcf5d82df
MD5 8d54aef49b155a5269e806f250932077
BLAKE2b-256 058400d94502a3a58c6d31d53e50957c405893214926683a61f00fc2b8ac1fd8

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp39-cp39-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.9, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 9252f4e0cc90795f0457ad35d980382e1da16c7cd7a029c455cea3fc669f81f9
MD5 be49dd39c3871cffbc4850c56651710d
BLAKE2b-256 50c5b20a352d90c77b54b7d2ae4c91e65f09b4ae21ae2cb2f3fa4dca03e423c9

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp39-cp39-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 fd94e16b7fdb4df77b718dc68c727f23a1d6f513f017b5714de8456ce43e2329
MD5 98acc94df64aca5b778a36f7703adce9
BLAKE2b-256 bab48699ea8504b2f678fe17efbea040e3dc72ea87b57aa29d025987de16d9de

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7efdf72a258f65ac0bff8528fc66702d3f3ddb3cc4b51654db65ee6905fc062d
MD5 879d920aa89b9fcb3bca71c1aa48e276
BLAKE2b-256 5a6e021ece7836fe23386e21ebe2027c71a7623fe31e98535c6973ae4c5970e4

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 edf87f5744cd9569ca567cd7103ef25084c5b45ccddb28b3524b51db82c1e21f
MD5 eb2c63e6e10f541bd20decb46d383a99
BLAKE2b-256 ace8c18070e13152204d5d33dcdce3573cfa964f421ab7d96e4874d72a4350c2

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp39-cp39-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.9, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 48df8719d61b0ee17a65ed4afb2ebe23652edd9e399fd893cb260feb69ac9ac3
MD5 ed7d71c1e2ff2adf29299a5f5da9c2c6
BLAKE2b-256 cab2c00d23cf2141d8e745e0fabfdc9fd23985a287e32e9d9ef0ba9942fa89e6

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 29dc230b57bee1ffeb909dd92df4146307244a72b4e5ab603711464dc0fc8221
MD5 b1371797d132483b323b24996101f394
BLAKE2b-256 cd5bb5cbaf2671d86b3d84cfb9eebaabd68609a93d827e8186b0df880b0fe874

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp38-cp38-win32.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 e9400ab4c56079994abf3acfad58f19e68d4bc53d68b5bb08cd3a0005c8e0561
MD5 082fb7cd788004993ee438bf3d103872
BLAKE2b-256 0e5d1ca1d2500a219e637e8fb214f1ebfc4d97b4120d57b038aa4858582dee6a

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp38-cp38-musllinux_1_1_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.8, musllinux: musl 1.1+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a1ed304fa5d87443564cbfa8be32ba6aac6c816ba508f733183babdf5094d618
MD5 2e3aeb14a623a0f4885c539a312d5e2d
BLAKE2b-256 feeb2891009112a9b0c929536d629237cb8b4bab233885373ff4e07927bb3840

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp38-cp38-musllinux_1_1_i686.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.8, musllinux: musl 1.1+ i686
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 64fee67605dbbf54d1120c3cab69180a381cded2426f71d8e9b739260745e644
MD5 1b9f16211b21011b3b78c5c0e8520b47
BLAKE2b-256 6be03486e894d53594d802f60935f81ea596565446d9d558cebfc5ac912da2d3

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b5fbd9933b6506f27586d116e7fe63e6213f5354fbf17346d9ba000c1ea91712
MD5 7c8cf52a7fcccff6b9e7cb80a00950ac
BLAKE2b-256 de1639f34ed1e1f229bf65214fe589d577c73a98355f7ea2b61c10351d158c15

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pymsis-0.5.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 31b0becaf6caec7aa5e728b84dbc5d2cc55d4df3e601241b18638035dc63514e
MD5 0975cb7e9fc2f458c87438719d98d617
BLAKE2b-256 ea5ad8eace88a3ff9fa9fe046aa92baa29e6335ac23e3c18b74a760cbc478fd9

See more details on using hashes here.

File details

Details for the file pymsis-0.5.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: pymsis-0.5.0-cp38-cp38-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.7.0 requests/2.25.1 setuptools/57.4.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for pymsis-0.5.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e4b721141f14e6273b9586692f26520a6c38893c6beaf5424dd20a9be5ed8dcf
MD5 37299afa70071aaddb3268098b4456f8
BLAKE2b-256 51a5a4e431bd634d677be2bc0bd70faaf9e04299e97f8dd57c4e2e3100b91f87

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