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-2.71.dev202210241802-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

smoldyn-2.71.dev202210241802-cp38-cp38-win_amd64.whl (870.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

smoldyn-2.71.dev202210241802-cp38-cp38-macosx_10_15_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

File details

Details for the file smoldyn-2.71.dev202210241802-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.71.dev202210241802-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7c4acd0eedb82f0b35d4e8e5d08d24f2e1333601b032ffea0410b400be880d5d
MD5 fbfa3606a3e10aaff5be21ea3853695c
BLAKE2b-256 804810ea37bd2d57cbd79cf2d3c579d08635b7f0b7d3be075734859798c37f9d

See more details on using hashes here.

File details

Details for the file smoldyn-2.71.dev202210241802-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for smoldyn-2.71.dev202210241802-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a9246791428953ae4328cbf07f0b0713040d0bd377d7d936bfd5cd7cb2824dda
MD5 c17896e83c706828f77275df795b68c8
BLAKE2b-256 a41c15f7787dba80385d0c59c9b877b081e29136df624df4e462936473e9c378

See more details on using hashes here.

File details

Details for the file smoldyn-2.71.dev202210241802-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for smoldyn-2.71.dev202210241802-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d8bba1fe3efe8eb63b271cf78959193f7d77d9f1856ee78b3f67bff85a3049ff
MD5 75b58cd4e08a7691624e365a8538e542
BLAKE2b-256 c9cbdbc3bb8077bdad601aef05e46955c45b14e7a32d225fdb28d210e15e6de8

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