Skip to main content

The Brain Modeling Toolkit

A software development package for building, simulating, and analyzing large-scale networks of different levels of resolution.

Please give feedback via our brief user survey, which will inform future development, fixes, and documentation.

Registering allows us to communicate with BMTK users and is encouraged, but not required: registration link.

See the paper about BMTK: link.

Please cite BMTK as follows:

Dai et al. Brain Modeling Toolkit: An open-source software suite for multiscale modeling of brain circuits. PLoS Comput Biol 16(11): e1008386. https://doi.org/10.1371/journal.pcbi.1008386

Level of Support

We are releasing this code to the public as a tool we expect others to use. Questions concerning bugs and related issues are welcomed. We expect to address them promptly and pull requests will be vetted by our staff before inclusion.

Quickstart

bmtk requires Python 2.7 or 3.5+, plus additional python dependicies. To install with base requirements from a command-line:

 $ git clone https://github.com/AllenInstitute/bmtk.git
 $ cd bmtk
 $ python setup.py install

There are examples of building models and running simulations located in docs/examples/. Some of the simulation engines may require additional requirements to run.

Tests

There are a collection of unit tests in bmtk.tests which can be run using pytest

  $ cd bmtk
  $ py.test

Documentation

User Guide

Copyright 2017 Allen Institute

Release files for bmtk 1.2.0

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

Built distribution (wheel)

Table of built distributions (wheels) for bmtk 1.2.0
File Interpreter ABI Platform
bmtk-1.2.0-py2.py3-none-any.whl Python 2, Python 3 none any Details

Release files / bmtk-1.2.0-py2.py3-none-any.whl

Download URL bmtk-1.2.0-py2.py3-none-any.whl
Size 985.8 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
d46d7407e4830fe492b2274fd466d5bad1b12d8a547f71cd8ea8c753ae7fdaa2
BLAKE2b-256 checksum
How to use checksums
b8d7a4269dd89627f8d6cbb18fc3fbd001a42824fdfc822e88ea9aafa2302657
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.13

Release history Release notifications | RSS feed

This release

1.2.0 This release

1 release file

1.1.4

1 release file

1.1.3

1 release file

1.1.2

1 release file

1.1.1

1 release file

1.1.0

2 release files

1.0.8

2 release files

1.0.7

2 release files

1.0.6

2 release files

1.0.5

2 release files

1.0.4

2 release files

1.0.3

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

1 release file

0.0.9

2 release files

0.0.8

3 release files

0.0.7

2 release files

0.0.6

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page