NetPyNE (Python package)
Description
NetPyNE is a Python package to facilitate the development, simulation, parallelization, analysis, and optimization of biological neuronal networks using the NEURON simulator.
For more details, installation instructions, documentation, tutorials, forums, videos and more, please visit: www.netpyne.org
This package is developed and maintained by Dura-Bernal lab (http://dura-bernal.org) and the Neurosim lab (www.neurosimlab.org).
Acknowledgements
This work was funded by grants from the NIH, NSF, NYS SCIRB, UK Welcome Trust and Australian Research Council. We are thankful to all the contributors that have collaborated in the development of this open source tool via GitHub.
This project was supported by:
- HBP Brain Simulation Platform funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).
- EBRAINS research infrastructure, funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3).
This project has received a Voucher "Integration of NetPyNE into EBRAINS Platform (EBRnetpyne)" from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement:
- No. 785907 (Human Brain Project SGA2).
- No. 945539 (Human Brain Project SGA3).
Metadata
Release files for netpyne 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| netpyne-1.1.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / netpyne-1.1.1-py2.py3-none-any.whl
| Download URL | netpyne-1.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 435.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
8454eeb804a75525660830bac264f77869d322954ddc599093f8973fc1c0ac87
|
|
BLAKE2b-256 checksum How to use checksums |
2b7899b826153e9d3c6303e88b033bcf4c32f5eb3c460c8af8a7e7f66a46b4fa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.19
|
Security for netpyne 1.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.