fwdpy11

This is the README for fwdpy11, which is a Python package for forward-time population genetic simulation. It uses fwdpp as its C++ back-end.

Build status

Main:

Development:

Python code style:

Pickle-able population objects
Parallel computation via multiprocessing or concurrent.futures.
Custom temporal samplers to analyze populations during a simulation may be written in pure Python.
Flexible interface for simulating models with multiple populations.

The manual can be found here.

GPLv3 or later (See COPYING)

fwdpy11 is written for Python 3. We will not modify the package to be compatible with Python 2.7.

These topics are covered in the user manual:

People wishing to run fwpdy11 should see this section.
Those who need to build the package from source should look the developer’s guide.

If you use this software for research, please cite the following publications:

Kevin R Thornton. Polygenic adaptation to an environmental shift: temporal dynamics of variation under gaussian stabilizing selection and additive effects on a single trait. Genetics, 213(4):1513–1530, December 2019.
Kevin R Thornton. A c++ template library for efficient forward-time population genetic simulation of large populations. Genetics, 198(1):157–166, September 2014.

This software was developed for the first paper. The second paper describes a key part of this software’s back end.

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for fwdpy11 0.24.7
File	Size	Uploaded
fwdpy11-0.24.7.tar.gz	1.7 MB	May 18, 2026	Details

Table of built distributions (wheels) for fwdpy11 0.24.7
File	Interpreter	ABI	Platform	Reset
fwdpy11-0.24.7-cp314-cp314-manylinux_2_28_x86_64.whl 3.2 MB May 18, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64	Details
fwdpy11-0.24.7-cp314-cp314-macosx_11_0_arm64.whl 3.0 MB May 18, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
fwdpy11-0.24.7-cp313-cp313-manylinux_2_28_x86_64.whl 3.2 MB May 18, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64	Details
fwdpy11-0.24.7-cp313-cp313-macosx_11_0_arm64.whl 3.0 MB May 18, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
fwdpy11-0.24.7-cp312-cp312-manylinux_2_28_x86_64.whl 3.2 MB May 18, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64	Details
fwdpy11-0.24.7-cp311-cp311-manylinux_2_28_x86_64.whl 3.2 MB May 18, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64	Details

Total release size: 20.6 MB

Download URL	fwdpy11-0.24.7.tar.gz
Size	1.7 MB
Tags	Source
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BLAKE2b-256 checksum How to use checksums	`b16b11013ea8c3d957a0590e7fe5f1cb7e089977f0d01b83607b47b13127b54e`
Upload date	May 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Download URL	fwdpy11-0.24.7-cp314-cp314-manylinux_2_28_x86_64.whl
Size	3.2 MB
Tags	CPython 3.14 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`5cca0e83edddb3eb3635bd07dc4883f0b6775135fe1abc440a4b028efd63b9a7`
BLAKE2b-256 checksum How to use checksums	`03e471cd1c208e59a096b09ceea6ab75959ce4b0f28cbb690840967a97f7352f`
Upload date	May 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Download URL	fwdpy11-0.24.7-cp314-cp314-macosx_11_0_arm64.whl
Size	3.0 MB
Tags	CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`7f19ca3ef6d57d706df553dafd8c841710a726ba7a2fd8de0e4c642cff580d30`
BLAKE2b-256 checksum How to use checksums	`d36d3f246bc2a71e61b2c746535484598f5bfdc29018c3fbe2e5ba1a4dfabf06`
Upload date	May 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Download URL	fwdpy11-0.24.7-cp313-cp313-manylinux_2_28_x86_64.whl
Size	3.2 MB
Tags	CPython 3.13 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`802f2c3bbe411f9431f14d59b62f0561788c3fa0a6f2d7588e922127c19c66e1`
BLAKE2b-256 checksum How to use checksums	`8e321d0361d41c03839f40f28a1d880e5b61c1cfedd32664385d19a232597982`
Upload date	May 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Download URL	fwdpy11-0.24.7-cp313-cp313-macosx_11_0_arm64.whl
Size	3.0 MB
Tags	CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`223139d7699457166e709f4b25dc2e594385be9838553b6ddfd05e440f954a01`
BLAKE2b-256 checksum How to use checksums	`7c29a0cafd0e8df4811e79c17ad54e9835395eff96b25106a37d2a6d0f2e973d`
Upload date	May 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Download URL	fwdpy11-0.24.7-cp312-cp312-manylinux_2_28_x86_64.whl
Size	3.2 MB
Tags	CPython 3.12 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`40f171f65c0f0cb45ff0d4ea755d08c7bbac4837e3744ff8f980a30688d2c575`
BLAKE2b-256 checksum How to use checksums	`ad3c3b6f28c6cc2fda434cba0ee7bc10e733cf95f272f18d385c350b00708871`
Upload date	May 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Download URL	fwdpy11-0.24.7-cp311-cp311-manylinux_2_28_x86_64.whl
Size	3.2 MB
Tags	CPython 3.11 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`0c70ffe2a0efe3cb6ad63e57232f4ff6637ab4164af59b89b4000a4b66f07688`
BLAKE2b-256 checksum How to use checksums	`1d67ff39d990e247a79b4b37c87b29f25efaeae8eef629b3a6d948ae5d961f05`
Upload date	May 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`