quickBayes

This package provides a convenient API for performing Bayesian analysis on muon and neutron-scattering data.

Installing

The library is available on PyPi and can be installed with pip:

> python -m pip install quickBayes

The user documentation is here.

The developer documentation is here.

Project links

Data verified by PyPI on Mar 18, 2025
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for AnthonyLim from gravatar.com AnthonyLim

Credits

Author: Anthony Lim

GitHub Statistics

Data verified by PyPI on Mar 18, 2025
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

BSD

Requires

Python >=3.7.1

Provides Extra

docs gofit

Tags

QENS bayesian fitting muons

Report project as malware

Release files for quickBayes 1.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for quickBayes 1.0.2
File Size Uploaded
quickbayes-1.0.2.tar.gz 585.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for quickBayes 1.0.2
File Interpreter ABI Platform
quickbayes-1.0.2-py3-none-any.whl 52.6 kB Python 3 none any Details

Total release size: 638.0 kB

Release files / quickbayes-1.0.2.tar.gz

Download URL quickbayes-1.0.2.tar.gz
Size 585.4 kB
Tags Source
SHA-256 checksum
How to use checksums 		89d87603461fb4302915e95fa90ab96f0b509c64ce7331659f4ba4cf44307cf0
BLAKE2b-256 checksum
How to use checksums 		c4414a0022726a95ddad759717be8e6bd29e7c66e8636bf11d23ea041c3a7b70
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Release files / quickbayes-1.0.2-py3-none-any.whl

Download URL quickbayes-1.0.2-py3-none-any.whl
Size 52.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		3858cb404dd00886b5d1be076a8e47b63d7b980633074aad68ed7eefcee6207e
BLAKE2b-256 checksum
How to use checksums 		6a08a5d0128060aabc03d52230b13df217e960384c6b20556617c33f04e86996
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		Yes
Uploaded via twine/6.1.0 CPython/3.12.9
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page