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

This version

2.73

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-2.73-cp311-cp311-win_amd64.whl (876.4 kB view details)

Uploaded CPython 3.11 Windows x86-64

smoldyn-2.73-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

smoldyn-2.73-cp311-cp311-macosx_10_9_universal2.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

smoldyn-2.73-cp310-cp310-win_amd64.whl (876.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

smoldyn-2.73-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

smoldyn-2.73-cp310-cp310-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

smoldyn-2.73-cp39-cp39-win_amd64.whl (876.4 kB view details)

Uploaded CPython 3.9 Windows x86-64

smoldyn-2.73-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

smoldyn-2.73-cp39-cp39-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

smoldyn-2.73-cp38-cp38-win_amd64.whl (876.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

smoldyn-2.73-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

smoldyn-2.73-cp38-cp38-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

smoldyn-2.73-cp37-cp37m-win_amd64.whl (875.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

smoldyn-2.73-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB view details)

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

smoldyn-2.73-cp37-cp37m-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

File details

Details for the file smoldyn-2.73-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.73-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 876.4 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for smoldyn-2.73-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0d555c56f93c856455ecca33b8759bd3645db56b296ca2b01a3cd45760fb2ae4
MD5 228233dcb9379b4d7a308ebab9242f96
BLAKE2b-256 41dc6b723ee46c3da6a5798d6b08874f00e608749a89a8991426cbf8faf34999

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3d4c689d8cd847171b0bda9934597dad209921febd47751759b9e22626b5ff10
MD5 e20eced1344121708a47ce17ff4e6990
BLAKE2b-256 70da2bf819fd5cd1bbc91c2b6e1a5b854e422f4e4edabf2b06e418aac28e5247

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 61fd0dc7eae106318e958371991d4700e275ff41e20490f6629594e57219ece4
MD5 2f2d7bbcf70059ee651378971720eaf4
BLAKE2b-256 fad1dd4ce0e1c518a5f1b70d5a8da4d31a03edc2cbb9a9a62294dacdb071df52

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.73-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 876.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.11

File hashes

Hashes for smoldyn-2.73-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 71bd38fd939ba33288364d6cbd25584ffd5a703eb45b6e55c9b2af4ba3a06369
MD5 528c69b9c974043c4b084532573d9491
BLAKE2b-256 dff543988811e5dc9a8088adab6892bff77322095d985cacedb9bb2d42de2cc6

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 28f5ecf0f6c7b615c6dde85fa3a4a9c6798fe0bdbfcfd3f58b8c1eb7294425dc
MD5 048626be5fda5d0dcc4eb4eb87bcb1e9
BLAKE2b-256 ff577cd028de8ba10082645e640e722c21481f08c39835ca92a92434a954bf2f

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 071c5370390de1227197e5ae11b36bdfdd52e6595d9937a1a7b98e749aa69978
MD5 8fa1c332ce6c18d46c73c4d456b18350
BLAKE2b-256 8c72b0abc02eaa05be465a769ff5fa13e0b8c30261a3cd2b4a00c60d2d35382c

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.73-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 876.4 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.13

File hashes

Hashes for smoldyn-2.73-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f2163ba361de67ad0a22e624aa13178a8ba5b755866fdc4b56eaad32c56c1602
MD5 70568d15b67f03eeec218027e2fa376f
BLAKE2b-256 1a0a8ff5dd245fb7c9012b715a85d7435be1b8314a73843c62eae6bfd30f00b0

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cb284adbb88dafa8691a4ec4d46b5046cbd31539ea2312c793538a09097f5c16
MD5 a65ea49d47d94e2c32bb8a82acec8507
BLAKE2b-256 5b333aeca971213cbb26d574d2127cf9486884070cc403e91d0f7d0230b14191

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 d357b8030166eb06f4b8fe391a6505c07a667774bfb87f06c4480c5ce8f1b348
MD5 2c82e1c8c9effa91151a7b938bdd7253
BLAKE2b-256 0355ad0f0f53270632cfbc2b8593abd2009ab75f427533a039869f3820237fc6

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.73-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 876.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.10

File hashes

Hashes for smoldyn-2.73-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 7c9a01285da545034afeb308e5b27cfbaeec2d96b107a4737b782bd7e1715890
MD5 747463b3812a44c20df44d0c8da26cf3
BLAKE2b-256 b7de3001416e5584f1c3ce2eb17e3eb8bf302a62d574f3be1f8f66b95bfcfb5a

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6fd90383ddd8d046b7e3dff9a3b46674eaf08c25565c08e57d2e08357dddb2b5
MD5 a9e3e1925e690f07059c288242812e0a
BLAKE2b-256 de0b52f6da7e047be158ed69caf67e00c12a5d864e012a304f114c5480d9bd06

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 e93df952d09d56af4823bda9b9be297f2c819cf2989806b5b7c5386b76f0adcb
MD5 9f09a69a8b526f423254fbd852eade7b
BLAKE2b-256 a45de0586714d6ad752303ee19423cc38b8f1c6b4a8f14e00ef2cb496805eae1

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: smoldyn-2.73-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 875.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for smoldyn-2.73-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 949486b17fd890a99b695171627cd4e67c5102813918c8c6a97b33a9f500d096
MD5 2163183668ae83906ea0ccb6908b6692
BLAKE2b-256 e3faa867430e2c9c191f983c893e4cf2eb06180cd1dace7688b6270204b0d3c9

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 37dd581f0f97207b444739b4a75450b65e5d719baebae72d08e750ec751c43f1
MD5 aff427773bc3c014bb1aebf0dac1daac
BLAKE2b-256 94c07f6aa8953582195a571c7e8c7c4280d70acaa31c53b8404811b6fad24f9f

See more details on using hashes here.

File details

Details for the file smoldyn-2.73-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.73-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 fbeff85915ed13561b138f574c86a46f05a4f4081d51b9aad63645c594fa3811
MD5 63a571b06bfe15a87bad6d982425cb87
BLAKE2b-256 e871b2f2dd314795c0150ca5dfbd9b1a8451e8332f99503904aa9d38c4befd71

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