Science Score: 20.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 4 committers (25.0%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.7%) to scientific vocabulary
Last synced: 11 months ago
·
JSON representation
Repository
Fast multi-unit Van Rossum spike train metric
Basic Info
Statistics
- Stars: 3
- Watchers: 2
- Forks: 5
- Open Issues: 1
- Releases: 3
Created almost 13 years ago
· Last pushed about 3 years ago
Metadata Files
Readme
License
README.rst
pymuvr
======
Overview
--------
|status| |pipy_version| |doi|
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.
.. |doi| image:: https://zenodo.org/badge/12274732.svg
:target: https://zenodo.org/badge/latestdoi/12274732
:alt: digital object identifier (DOI)
.. |status| image:: https://travis-ci.org/epiasini/pymuvr.svg?branch=master
:target: https://travis-ci.org/epiasini/pymuvr
:alt: build status
.. |pipy_version| image:: https://img.shields.io/pypi/v/pymuvr.svg
:target: https://pypi.python.org/pypi/pymuvr
:alt: PyPI version
Owner
- Name: Eugenio Piasini
- Login: epiasini
- Kind: user
- Company: University of Pennsylvania
- Repositories: 36
- Profile: https://github.com/epiasini
GitHub Events
Total
Last Year
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Eugenio Piasini | e****i@u****k | 127 |
| Robert Pröpper | r****r@g****m | 1 |
| Jonas Zimmermann | p****t@j****e | 1 |
| Robert Pröpper | r****r@g****m | 1 |
Committer Domains (Top 20 + Academic)
jonaszimmermann.de: 1
ucl.ac.uk: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 9
- Total pull requests: 4
- Average time to close issues: 14 days
- Average time to close pull requests: 2 days
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.89
- Average comments per pull request: 1.5
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- epiasini (8)
- yzerlaut (1)
Pull Request Authors
- rproepp (3)
- zeeMonkeez (1)
Top Labels
Issue Labels
enhancement (4)
bug (2)
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 24 last-month
- Total dependent packages: 0
- Total dependent repositories: 2
- Total versions: 7
- Total maintainers: 1
pypi.org: pymuvr
Multi-unit Van Rossum spike train metric
- Homepage: https://github.com/epiasini/pymuvr
- Documentation: https://pymuvr.readthedocs.io/
- License: GPLv3+
-
Latest release: 1.3.3
published over 9 years ago
Rankings
Dependent packages count: 10.0%
Dependent repos count: 11.6%
Forks count: 14.2%
Average: 20.0%
Stargazers count: 27.8%
Downloads: 36.6%
Maintainers (1)
Last synced:
12 months ago
Dependencies
docs/readthedocs_requirements.txt
pypi
- Sphinx >=1.2.2
- breathe >=3.0.0
- numpy >=1.7
setup.py
pypi
- numpy >=1.7