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-2.67.dev202110211555-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (2.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

smoldyn-2.67.dev202110211555-cp39-cp39-macosx_10_14_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

smoldyn-2.67.dev202110211555-cp38-cp38-macosx_10_14_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

smoldyn-2.67.dev202110211555-cp37-cp37m-macosx_10_14_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

File details

Details for the file smoldyn-2.67.dev202110211555-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.67.dev202110211555-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1efd4205d10e3d55a4e2052344fc416d93635b8edcd8c7199ebf907cfc2ad6b2
MD5 e59ecfccc1cca605597680647a0d0c38
BLAKE2b-256 2844c50c94e08cfeb4cf4b22faef8f0fa7d5278cb4ba55e4c4e0d103c54cb75c

See more details on using hashes here.

File details

Details for the file smoldyn-2.67.dev202110211555-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: smoldyn-2.67.dev202110211555-cp39-cp39-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.9, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for smoldyn-2.67.dev202110211555-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 d4e054c836d95850379bfada7692a66c7da62a320dbae0c63e818b55a86cdc2d
MD5 d8dba5b5fe436f8fbb0924caf916f41a
BLAKE2b-256 c6c194829bc801a60e398dd561e1d185b9d9efe8b7a44913ec38d15deb76fa87

See more details on using hashes here.

File details

Details for the file smoldyn-2.67.dev202110211555-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: smoldyn-2.67.dev202110211555-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for smoldyn-2.67.dev202110211555-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 922b4f40300ad69134c3176ad969a903a575682d9ecb2700c78bb1482a609d84
MD5 f2ed82ce8030b9c41af750a3a21a76b6
BLAKE2b-256 51544c4d6ca34efa7f0c42d3df8a69041f0a9e74b9516a5628bf17d98c9f1df8

See more details on using hashes here.

File details

Details for the file smoldyn-2.67.dev202110211555-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: smoldyn-2.67.dev202110211555-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for smoldyn-2.67.dev202110211555-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 76027380a1347ec55e175ec233e0f3230ade77cbc7192c6e908e8c097fa96618
MD5 e0701a037e33376666dd5d032912ab08
BLAKE2b-256 c9c5d723eade9a2020b5553c545ee4ece3f859cbea36b98310c3f9104bbab555

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