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JOSS: https://github.com/DavAug/chi

bayesian-inference mipd model-informed-precision-dosing parameter-estimation pharmacodynamics pharmacokinetics pkpd pkpd-modelling python

Score: 8.57922858233569

Last synced: about 2 hours ago
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Repository metadata:

Chi is an open source Python package which is designed for PKPD modelling and model-informed precision dosing (MIPD).


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 4 months ago

Total Commits: 1,716
Total Committers: 1
Avg Commits per committer: 1,716.0
Development Distribution Score (DDS): 0.0

Commits in past year: 18
Committers in past year: 1
Avg Commits per committer in past year: 18.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
DavAug d****n@g****t 1716

Issue and Pull Request metadata

Last synced: 8 months ago

Total issues: 75
Total pull requests: 50
Average time to close issues: 7 months
Average time to close pull requests: about 1 month
Total issue authors: 3
Total pull request authors: 3
Average comments per issue: 0.16
Average comments per pull request: 0.96
Merged pull request: 46
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 2
Past year average time to close issues: N/A
Past year average time to close pull requests: 10 days
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 1.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/DavAug/chi

Top Issue Authors

  • DavAug (73)
  • ns-rse (1)
  • breisfeld (1)

Top Pull Request Authors

  • DavAug (48)
  • MichaelClerx (1)
  • martinjrobins (1)

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Top Pull Request Labels


Package metadata

pypi.org: chi-drm

A python package to model dose response dynamics.

  • Homepage:
  • Documentation: https://chi.readthedocs.io
  • Licenses: BSD 3-Clause License Copyright (c) 2025, David Augustin All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  • Latest release: 1.0.3 (published 9 months ago)
  • Last Synced: 2026-02-24T12:00:42.370Z (4 months ago)
  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 132 Last month
  • Rankings:
    • Dependent packages count: 10.038%
    • Downloads: 32.433%
    • Average: 36.618%
    • Dependent repos count: 67.384%
  • Maintainers (1)

Dependencies

docs/requirements.txt pypi
  • kaleido *
  • sphinx >=1.5,
  • sphinx-rtd-theme *
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pyproject.toml pypi
  • arviz >=0.17
  • myokit >=1.34
  • numpy >=1.17
  • pandas >=0.24
  • pints >=0.4
  • plotly >=4.8.1
  • scipy >=1.11
  • tqdm >=4.46.1
  • xarray >=0.19