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bayesim

Bayes for anything!

https://github.com/pv-lab/bayesim

Science Score: 62.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    3 of 4 committers (75.0%) from academic institutions
  • ✓
    Institutional organization owner
    Organization pv-lab has institutional domain (pv.mit.edu)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (4.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Bayes for anything!

Basic Info
Statistics
  • Stars: 17
  • Watchers: 9
  • Forks: 8
  • Open Issues: 0
  • Releases: 0
Created over 7 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.rst 

Description
===========
The little home on the internet for our adaptive grid sampled Bayesian inference code. Check it out if you want to compute probability distributions over ~1-10 input parameters to a relatively computationally expensive (10's of core-seconds per evaluation) model.

More detailed documentation `here `_.


Installation and Usage
======================
Install using

.. code-block:: shell

  pip install bayesim


Information
===========
:Authors:
    Rachel C. Kurchin and Giuseppe Romano

:Version: 0.10.0 as of August 2023

Owner

  • Name: Accelerated Materials Laboratory for Sustainability
  • Login: PV-Lab
  • Kind: organization
  • Location: United States of America

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Kurchin"
  given-names: "Rachel"
  orcid: "https://orcid.org/0000-0002-2147-4809"
- family-names: "Romano"
  given-names: "Giuseppe"
title: "Bayesim"
version: 0.9.21
date-released: 2019-11-15
url: "https://pv-lab.github.io/bayesim/_build/html/index.html"
repository-code: "https://github.com/PV-Lab/bayesim"
license: GPLv2
preferred-citation:
  type: article
  authors:
- family-names: "Kurchin"
  given-names: "Rachel"
  orcid: "https://orcid.org/0000-0002-2147-4809"
- family-names: "Romano"
  given-names: "Giuseppe"
- family-names: "Buonassisi"
  given-names: "Tonio"
  doi: "10.1016/j.cpc.2019.01.022"
  journal: "Computer Physics Communications"
  start: 161 # First page number
  end: 165 # Last page number
  title: "Bayesim: A tool for adaptive grid model fitting with Bayesian inference"
  volume: 239
  year: 2019

GitHub Events

Total
  • Fork event: 1
Last Year
  • Fork event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 224
  • Total Committers: 4
  • Avg Commits per committer: 56.0
  • Development Distribution Score (DDS): 0.17
Past Year
  • Commits: 8
  • Committers: 1
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
rkurchin r****n@m****u 186
microway r****g@m****u 20
Rachel Kurchin r****n@c****u 9
Giuseppe Romano g****o@p****n 9
Committer Domains (Top 20 + Academic)
mit.edu: 2 pop-os.localdomain: 1 cmu.edu: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 1
  • Total pull requests: 2
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 1 minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 6.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • 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
View more stats
Top Authors
Issue Authors
  • kdn82 (1)
Pull Request Authors
  • rkurchin (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 778 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 24
  • Total maintainers: 2
pypi.org: bayesim

Fast model fitting via Bayesian inference

  • Versions: 24
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 778 Last month
Rankings
Dependent packages count: 10.1%
Average: 16.0%
Downloads: 16.2%
Dependent repos count: 21.6%
Maintainers (2)
romanodev rkurchin
Last synced: about 1 year ago