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https://github.com/wenjiedu/pypots

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values
https://github.com/wenjiedu/pypots

Keywords

classification clustering data-mining data-science deep-learning forecasting healthcare imputation incomplete industrial interpolation machine-learning missing-values missingness neural-network partially-observed-time-series pytorch science-research time-series time-series-analysis

Keywords from Contributors

incomplete-data incomplete-time-series missing-data reality-centric

Last synced: 11 months ago
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Acceptance Criteria

Repository metadata

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

Owner metadata

Committers metadata

Last synced: 12 months ago

Total Commits: 793
Total Committers: 8
Avg Commits per committer: 99.125
Development Distribution Score (DDS): 0.018

Commits in past year: 414
Committers in past year: 7
Avg Commits per committer in past year: 59.143
Development Distribution Score (DDS) in past year: 0.027

Name Email Commits
Wenjie Du w****u@g****m 779
Jun Wang j****x@c****k 3
Maciej Skrabski m****i@g****m 3
Maciej Skrabski m****i@i****l 3
Bhargav Vemuri 5****v 2
Yinghao Zhu y****9@g****m 1
Jun Wang 1****W 1
Justin0388 1****8 1

Committer domains:

Issue and Pull Request metadata

Last synced: 11 months ago

Total issues: 144
Total pull requests: 267
Average time to close issues: 16 days
Average time to close pull requests: 3 days
Total issue authors: 38
Total pull request authors: 11
Average comments per issue: 1.62
Average comments per pull request: 0.62
Merged pull request: 257
Bot issues: 0
Bot pull requests: 1

Past year issues: 108
Past year pull requests: 175
Past year average time to close issues: 16 days
Past year average time to close pull requests: 1 day
Past year issue authors: 28
Past year pull request authors: 9
Past year average comments per issue: 1.5
Past year average comments per pull request: 0.65
Past year merged pull request: 170
Past year bot issues: 0
Past year bot pull requests: 0

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

Top Issue Authors

  • WenjieDu (97)
  • MaciejSkrabski (3)
  • abhishekju06 (2)
  • max6457 (2)
  • AugustJW (2)
  • eschlager (2)
  • firmai (2)
  • GrgicevicLukaNTNU (2)
  • vemuribv (2)
  • Six-Persimmon (2)
  • mike-egg123 (1)
  • miten073 (1)
  • NewKeyTo (1)
  • PsYaoyo (1)
  • Rdfing (1)

Top Pull Request Authors

  • WenjieDu (246)
  • MaciejSkrabski (6)
  • AugustJW (3)
  • vemuribv (2)
  • gugababa (2)
  • LinglongQian (2)
  • Burton-David (2)
  • wx0chan (1)
  • yhzhu99 (1)
  • dependabot[bot] (1)
  • Justin0388 (1)

Top Issue Labels

  • enhancement (62)
  • new feature (34)
  • bug (30)
  • question (30)
  • new algo (12)
  • documentation (5)
  • testing (3)
  • stale (3)
  • new model (3)
  • new method (3)
  • keep (3)
  • potential bug (3)
  • dependencies (1)
  • template (1)
  • discussion (1)

Top Pull Request Labels

  • enhancement (4)
  • dependencies (2)
  • new feature (2)
  • stale (2)
  • security (1)
  • new model (1)
  • keep (1)
  • new method (1)

Package metadata

pypi.org: pypots

A Python Toolbox for Data Mining on Partially-Observed Time Series

  • Homepage: https://pypots.com/
  • Documentation: https://docs.pypots.com/
  • Licenses: BSD-3-Clause
  • Latest release: 0.4.1 (published about 1 year ago)
  • Last Synced: 2024-06-02T21:46:13.325Z (11 months ago)
  • Versions: 27
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 34,267 Last month
  • Rankings:
    • Downloads: 2.611%
    • Stargazers count: 2.85%
    • Forks count: 5.914%
    • Average: 8.614%
    • Dependent packages count: 10.069%
    • Dependent repos count: 21.628%
  • Maintainers (1)

Dependencies

.github/workflows/greetings.yml actions
  • actions/first-interaction v1 composite
.github/workflows/publish_to_PyPI.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish v1.5.1 composite
requirements.txt pypi
  • matplotlib *
  • numpy >=1.23.3
  • pandas *
  • pycorruptor *
  • scikit_learn >=0.24.1
  • scipy *
  • tensorboard *
  • torch ==1.11.0
  • tsdb *
setup.py pypi
  • matplotlib *
  • numpy *
  • pandas *
  • pycorruptor *
  • scikit_learn *
  • scipy *
  • tensorboard *
  • torch >=1.10
  • torch_geometric *
  • torch_scatter *
  • torch_sparse ==0.6.13
  • tsdb *
.github/workflows/linting.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
.github/workflows/stale.yml actions
  • actions/stale v8 composite
.github/workflows/testing_ci.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • coverallsapp/github-action master composite
  • haya14busa/action-cond v1 composite
.github/workflows/testing_daily.yml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
  • coverallsapp/github-action master composite

Score: 19.166558126054134