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https://github.com/intive-DataScience/tbats

Score: 18.885997105100486

Last synced: about 3 hours ago
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Repository metadata:

BATS and TBATS forecasting methods


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 37
Total Committers: 2
Avg Commits per committer: 18.5
Development Distribution Score (DDS): 0.054

Commits in past year: 4
Committers in past year: 1
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Grzegorz Skorupa g****a@i****m 35
Alex Sanchez a****s@n****m 2

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 31
Total pull requests: 12
Average time to close issues: 3 months
Average time to close pull requests: 9 months
Total issue authors: 27
Total pull request authors: 3
Average comments per issue: 2.74
Average comments per pull request: 0.75
Merged pull request: 3
Bot issues: 0
Bot pull requests: 9

Past year issues: 1
Past year pull requests: 2
Past year average time to close issues: about 16 hours
Past year average time to close pull requests: about 1 hour
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 1.0
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/intive-DataScience/tbats

Top Issue Authors

  • gustavz (3)
  • fkiraly (2)
  • LoveenDyall (2)
  • koralturkk (1)
  • mloning (1)
  • mzietlow (1)
  • ajosanchez (1)
  • freddyaboulton (1)
  • HenryHan960829 (1)
  • aiwalter (1)
  • lukedyer-peak (1)
  • srivas53 (1)
  • ValeMonLop (1)
  • jonatasfreitasv (1)
  • MonishMohanB (1)

Top Pull Request Authors

  • dependabot[bot] (9)
  • cotterpl (2)
  • ajosanchez (1)

Top Issue Labels

Top Pull Request Labels

  • dependencies (9)

Package metadata

pypi.org: tbats

BATS and TBATS for time series forecasting

  • Homepage: https://github.com/intive-DataScience/tbats
  • Documentation: https://tbats.readthedocs.io/
  • Licenses: MIT
  • Latest release: 1.2.0 (published about 2 months ago)
  • Last Synced: 2026-11-01T23:34:25.861Z (1 day ago)
  • Versions: 16
  • Dependent Packages: 13
  • Dependent Repositories: 243
  • Downloads: 420,915 Last month
  • Docker Downloads: 2,336
  • Rankings:
    • Downloads: 0.473%
    • Dependent packages count: 0.794%
    • Docker downloads count: 0.821%
    • Dependent repos count: 0.982%
    • Average: 2.894%
    • Stargazers count: 5.568%
    • Forks count: 8.723%
  • Maintainers (1)
proxy.golang.org: github.com/intive-datascience/tbats

proxy.golang.org: github.com/intive-DataScience/tbats

conda-forge.org: tbats

  • Homepage: https://github.com/intive-DataScience/tbats
  • Licenses: MIT
  • Latest release: 1.1.1 (published about 4 years ago)
  • Last Synced: 2026-09-15T15:26:44.018Z (about 2 months ago)
  • Versions: 2
  • Dependent Packages: 3
  • Dependent Repositories: 1
  • Rankings:
    • Dependent packages count: 15.649%
    • Dependent repos count: 24.343%
    • Average: 27.017%
    • Stargazers count: 29.303%
    • Forks count: 38.774%
anaconda.org: tbats

BATS and TBATS for time series forecasting

  • Homepage: https://github.com/intive-DataScience/tbats
  • Licenses: MIT
  • Latest release: 1.1.3 (published over 3 years ago)
  • Last Synced: 2026-03-20T21:33:40.755Z (8 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Rankings:
    • Stargazers count: 40.34%
    • Average: 47.76%
    • Forks count: 48.238%
    • Dependent packages count: 51.154%
    • Dependent repos count: 51.306%
nixpkgs-unstable: python313Packages.tbats

BATS and TBATS forecasting methods

nixpkgs-24.05: python312Packages.tbats

BATS and TBATS forecasting methods

nixpkgs-24.11: python312Packages.tbats

BATS and TBATS forecasting methods

nixpkgs-24.11: python311Packages.tbats

BATS and TBATS forecasting methods

nixpkgs-unstable: python314Packages.tbats

BATS and TBATS forecasting methods

nixpkgs-23.11: python310Packages.tbats

BATS and TBATS forecasting methods

nixpkgs-23.11: python311Packages.tbats

BATS and TBATS forecasting methods

nixpkgs-24.05: python311Packages.tbats

BATS and TBATS forecasting methods


Dependencies

setup.py pypi
  • numpy *
  • pmdarima *
  • scikit-learn *
  • scipy *
pyproject.toml pypi
  • numpy >=2.1
  • pmdarima >=2.1.1
  • scikit-learn >=1.6
  • scipy >=1.14.1
.github/workflows/publish.yml actions
  • actions/checkout 11bd71901bbe5b1630ceea73d27597364c9af683 composite
  • actions/download-artifact d3f86a106a0bac45b974a628896c90dbdf5c8093 composite
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  • astral-sh/setup-uv 20cfd1bf945f4377ade1205e4dbc17946fc9a30d composite
  • pypa/gh-action-pypi-publish ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e composite
uv.lock pypi
  • cffi 2.1.1
  • cloudpickle 3.1.2
  • colorama 0.4.6
  • cython 3.3.0
  • exceptiongroup 1.3.1
  • formulaic 1.2.2
  • iniconfig 2.3.0
  • interface-meta 2.0.1
  • jinja2 3.1.6
  • joblib 1.6.0
  • markupsafe 3.0.3
  • narwhals 2.26.0
  • numpy 2.2.6
  • numpy 2.4.6
  • numpy 2.5.3
  • packaging 26.3
  • pandas 2.3.3
  • pandas 3.0.5
  • patsy 1.0.3
  • pluggy 1.6.0
  • pmdarima 2.1.1
  • pycparser 3.0
  • pygments 2.21.0
  • pytest 9.1.1
  • python-dateutil 2.9.0.post0
  • pytz 2026.3.post1
  • rpy2 3.6.7
  • rpy2-rinterface 3.6.6
  • rpy2-robjects 3.6.5
  • scikit-learn 1.7.2
  • scikit-learn 1.9.1
  • scipy 1.15.3
  • scipy 1.17.1
  • scipy 1.18.1
  • setuptools 84.0.0
  • six 1.17.0
  • statsmodels 0.15.0
  • tbats 2.2.6
  • threadpoolctl 3.7.0
  • tomli 2.4.1
  • typing-extensions 4.16.0
  • tzdata 2026.4
  • tzlocal 5.4.4
  • urllib3 2.8.0
  • wrapt 2.4.1
.github/workflows/python.yml actions
  • actions/checkout 11bd71901bbe5b1630ceea73d27597364c9af683 composite
  • astral-sh/setup-uv 20cfd1bf945f4377ade1205e4dbc17946fc9a30d composite