Skip to main content

C++/CUDA Library for BrainPy

Project description

brainpylib: C++/CUDA Library for BrainPy

Supported Python Version LICENSE PyPI version Linux CI Linux CI Linux CI

brainpylib aims to provide operators for sparse and event-driven computations commonly used in brain dynamics programming.

Install

brainpylib is based on Python (>=3.7) and can be installed on Linux (Ubuntu 16.04 or later), macOS (10.12 or later), and Windows platforms. Install the latest version of brainpylib:

$ pip install brainpylib -U

Citing

If you are using brainpylib, please consider citing the corresponding papers.

Project details


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

If you're not sure about the file name format, learn more about wheel file names.

brainpylib-0.1.3-cp310-cp310-win_amd64.whl (442.2 kB view details)

Uploaded CPython 3.10Windows x86-64

brainpylib-0.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (155.8 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

brainpylib-0.1.3-cp310-cp310-macosx_11_0_x86_64.whl (122.5 kB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

brainpylib-0.1.3-cp39-cp39-win_amd64.whl (443.2 kB view details)

Uploaded CPython 3.9Windows x86-64

brainpylib-0.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (155.9 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

brainpylib-0.1.3-cp39-cp39-macosx_10_15_x86_64.whl (122.7 kB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

brainpylib-0.1.3-cp38-cp38-win_amd64.whl (442.9 kB view details)

Uploaded CPython 3.8Windows x86-64

brainpylib-0.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (155.6 kB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

brainpylib-0.1.3-cp38-cp38-macosx_10_15_x86_64.whl (122.9 kB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

brainpylib-0.1.3-cp37-cp37m-win_amd64.whl (443.9 kB view details)

Uploaded CPython 3.7mWindows x86-64

brainpylib-0.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (158.8 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

brainpylib-0.1.3-cp37-cp37m-macosx_10_15_x86_64.whl (122.0 kB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file brainpylib-0.1.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: brainpylib-0.1.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 442.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for brainpylib-0.1.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 0e2d614bb907da9c835786b334f609a4e23c327b400296f93662d33db6564dcb
MD5 98563100d43e7004572a2ed56e528a5f
BLAKE2b-256 16fab2b0159b97064230268354816095cec219c3a77be9c6a750f75e91743b59

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 593439b4725743536fe4d4dce85d204734a3e6980de77e15637248d6aa709848
MD5 377db4bc001b36dae93614891dc061e5
BLAKE2b-256 6b97cefd00589419ab3ca9df3804198e652b01f28b4c2f94dbef90820dcdc04a

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 920c7835af89bcfefe6a61d3749c8dad3f1954c7320926394dd78f5ba5223158
MD5 698cb58a2ad117791cfab7d8b9d0a276
BLAKE2b-256 cd7057c4441b774630eecbee2e6a2895caddf6563cf38b7bf31dc3c3577e5eb5

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: brainpylib-0.1.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 443.2 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for brainpylib-0.1.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 81e0dcda552dd01e1477a132415043268dc84e52c82cd8a4f8d431c9a44998be
MD5 dea37b9825646255c1f078cbf7cf29db
BLAKE2b-256 f35cbc17860a4a58c61dd7526a263c55d82462b2000800f8c16549986ad0bf9c

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e4e08e06dac84c18fbfc278d6de5fc5c6e076091fdafa09c594b51c01e7f5670
MD5 f3c52203bf99e7e24f00a28f414852ae
BLAKE2b-256 de9e93f275e30375b9ee91f026ed5904f86bc244f6aa17f2981f7f9578372d7c

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 728f165cd89c207bec32ecb978e3653c9670d24fc3b18ccfe357f154be48ffc3
MD5 10e3fa7908f245b8c2c1513a97ee4431
BLAKE2b-256 d3a9e1e572cb3ee9df33e9c83e363bba4111fd9bc856de2301aa16d514632e70

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: brainpylib-0.1.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 442.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for brainpylib-0.1.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 17c8cd42b9753ab122eba5d6221796cc2dd29fb55047a69003edd3a7278770dd
MD5 aa7581eaff9a194d86c85887b0a5a2fa
BLAKE2b-256 6b5eea79a7381fea7d820a7945eb1f455021225d8742d4316c559789b38084de

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 08650c1518bca3ef68d46b06baea8fbf18d2b00ce239ccae95463c0f2d8f766f
MD5 268b5f74a8132b78169d7ced60f8064a
BLAKE2b-256 0fe6702a9142f2d1aa33bd9628e379564ff546d0aed8ff8dd2c346f3ecedd222

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8f5df66e3f4bdc0e2a2d32c0f2e1aeb5eef0b84c170942424da4ce7e63e3fa17
MD5 664aa473cc7f0fc2de76ccf91918f82b
BLAKE2b-256 12bc8bc7a8b0ee43757792ac5c9b6c3f8ad455b4fc4ec3a08cd1fd7e8aacd24e

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: brainpylib-0.1.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 443.9 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 brainpylib-0.1.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 9e8e84ff956d80b8417ae130f554ed1d187e8d19dfd815d80d45ede42863c222
MD5 32e6847725ab17acbd7fab0beff82a01
BLAKE2b-256 235954a9f64e0d1c6522b24a85cc3c01b0fba510688f5070c5941687dfe0eada

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 79645df064a08965b84264a4bec6c4527b6e7027ee6fdf1673c12627efa522d8
MD5 e4f3ad402adb122a20e84ab5929fb078
BLAKE2b-256 77d2e7bf50f1537c9494640f6add054063462a01a06a0d7f8cae5cfa739d068c

See more details on using hashes here.

File details

Details for the file brainpylib-0.1.3-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for brainpylib-0.1.3-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4c4fd07a1860c808eec32915c588982d26aaacfa896c40fa4cf014d03a98695c
MD5 55ec8537843b59eefa8eb89f02eb3af5
BLAKE2b-256 d20b1b978294acfa7d94e2d130850e47dcd5453ce02f8eb93c7c84e8732ba34c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page