Skip to main content

Python package for the Smoldyn simulator

Project description

Test status Linux build status OS X build status Windows build status PyPI version BioSimulators runBioSimulations Documentation status

Smoldyn

Smoldyn is a particle-based biochemical simulator for modeling molecular diffusion, surface interactions, and chemical reactions.

More information about Smoldyn is available at http://www.smoldyn.org. Please visit this website to learn about Smoldyn, download the latest release, etc.

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

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

smoldyn-2.68.dev202203191655-cp310-cp310-win_amd64.whl (877.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

smoldyn-2.68.dev202203191655-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.12+ x86-64

smoldyn-2.68.dev202203191655-cp310-cp310-macosx_10_15_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

smoldyn-2.68.dev202203191655-cp39-cp39-win_amd64.whl (866.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

smoldyn-2.68.dev202203191655-cp38-cp38-win_amd64.whl (877.4 kB view details)

Uploaded CPython 3.8 Windows x86-64

smoldyn-2.68.dev202203191655-cp37-cp37m-win_amd64.whl (874.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

File details

Details for the file smoldyn-2.68.dev202203191655-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.68.dev202203191655-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 877.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for smoldyn-2.68.dev202203191655-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9372e21f9210975397a3255e56cb6935de9b466511154b314738682dc597430a
MD5 bbffb6eb1cd74f0aa9ae0b09caad828e
BLAKE2b-256 cded1ea00a860195532de08db352ef3b88f462e82093ca7f014e066b30464264

See more details on using hashes here.

File details

Details for the file smoldyn-2.68.dev202203191655-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.68.dev202203191655-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 b1bdcf37f0f5d103ac1bab4ea1be0a26203dd4865690147523be377f64c0d89e
MD5 688327f5c6f1fc786bb75fc0381b3b6a
BLAKE2b-256 d03bc8d94c2c697269e6835a707bf37adf301fde106f100dd9ad01447ca9ea06

See more details on using hashes here.

File details

Details for the file smoldyn-2.68.dev202203191655-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: smoldyn-2.68.dev202203191655-cp310-cp310-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.10, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2

File hashes

Hashes for smoldyn-2.68.dev202203191655-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6a588db58db10c5ba72e0c3852e7f27c4da6968883e34d5718dba74c498a9769
MD5 567d57cd8aa1a97e109dc26b4c8e8c59
BLAKE2b-256 cf3ba94cca6fef59020479d8ed6b9a26ef63ea21b16e9e9aeb2531e530580f9c

See more details on using hashes here.

File details

Details for the file smoldyn-2.68.dev202203191655-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.68.dev202203191655-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 866.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for smoldyn-2.68.dev202203191655-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d17863259b80322091606b15d3ccd707c36c3b4171ce2990dc0249cdbdbc8814
MD5 d62223e65b6139fb663c00708cc3394a
BLAKE2b-256 57963d0d7003d9de35021a82537a89816933d628247ace7d01181d879df7b5f2

See more details on using hashes here.

File details

Details for the file smoldyn-2.68.dev202203191655-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.68.dev202203191655-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 877.4 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for smoldyn-2.68.dev202203191655-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 233b8a7cd144c3144c6e97c9c98b6a3d47889db0d67f69b645966a698fe86fad
MD5 b394dabace0cdb4a59b5b65da62cd22b
BLAKE2b-256 3ae8123ddf5eef328a6f70b26be7dab255b59fafdab55f015df7a4360653bf9e

See more details on using hashes here.

File details

Details for the file smoldyn-2.68.dev202203191655-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.68.dev202203191655-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 874.8 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.9

File hashes

Hashes for smoldyn-2.68.dev202203191655-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 6b640f2e4aa5207af0e59f2ba939467259ca49c71791743e537add10384f677a
MD5 0f4bca2a730f0f530dbfebd4e1b43211
BLAKE2b-256 3552c2831ea01840628a72eaeb19fe0e8831c197ef507f7f93f5d1ead68548db

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