Overview
A Python package for the fast calculation of Multi-unit Van Rossum neural spike train metrics, with the kernel-based algorithm described in Houghton and Kreuz, On the efficient calculation of Van Rossum distances (Network: Computation in Neural Systems, 2012, 23, 48-58). This package started out as a Python wrapping of the original C++ implementation given by the authors of the paper, and evolved from there with bugfixes and improvements.
Documentation
Full documentation (with examples and full reference) is hosted at http://pymuvr.readthedocs.org/.
Requirements
Python 2.7 or 3.x.
NumPy>=1.7.
C++ development tools and Standard Library (package build-essential on Debian).
Python development tools (package python-dev on Debian).
Installation
To install the latest release, run:
pip install pymuvr
License
This package is licensed under version 3 of the GPL or any later version. See COPYING for details.
Getting the source
Source code for pymuvr is hosted at https://github.com/epiasini/pymuvr.
Metadata
Release files for pymuvr 1.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pymuvr-1.3.3.tar.gz | 62.7 kB | Without provenance | Details for pymuvr-1.3.3.tar.gz |
Release files / pymuvr-1.3.3.tar.gz
| Download URL | pymuvr-1.3.3.tar.gz |
|---|---|
| Size | 62.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
615b3310f517b5a08469e70c21777c7cb6734a201e2d6f7eb935d337c2e7a43f
|
|
BLAKE2b-256 checksum How to use checksums |
4cb344a29e09515e0a00f64e54a1b98b908f9522f8e8fd0c5122f4c65919d194
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for pymuvr 1.3.3
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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.