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https://github.com/chakki-works/seqeval

conlleval deep-learning machine-learning named-entity-recognition natural-language-processing python sequence-labeling sequence-labeling-evaluation

Score: 23.507520336631018

Last synced: 1 day ago
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A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)


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Last synced: 2 days ago

Total Commits: 152
Total Committers: 12
Avg Commits per committer: 12.667
Development Distribution Score (DDS): 0.178

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Hironsan l****3@g****m 125
himkt h****t@c****m 5
Nipun Sadvilkar n****r@g****m 4
Kaushik Acharya a****k@g****m 4
himkt h****t@k****p 3
Alexey Romanov a****v@g****m 3
Along 2****Y 2
makoto-hiramatsu m****u@c****m 2
kevinalexmathews k****s@g****m 1
dependabot[bot] 4****] 1
Yuta Hayashibe y****a@h****p 1
Takahiro Kubo i****7@y****p 1

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 69
Total pull requests: 48
Average time to close issues: 3 months
Average time to close pull requests: 3 months
Total issue authors: 58
Total pull request authors: 20
Average comments per issue: 1.62
Average comments per pull request: 0.5
Merged pull request: 25
Bot issues: 0
Bot pull requests: 10

Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

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Top Pull Request Authors

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  • himkt (3)
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  • AlongWY (1)
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  • kevinalexmathews (1)
  • EFord36 (1)

Top Issue Labels

  • question (17)
  • enhancement (9)
  • bug (6)

Top Pull Request Labels

  • dependencies (10)

Package metadata

pypi.org: seqeval

Testing framework for sequence labeling

  • Homepage: https://github.com/chakki-works/seqeval
  • Documentation: https://seqeval.readthedocs.io/
  • Licenses: MIT
  • Latest release: 1.2.2 (published about 6 years ago)
  • Last Synced: 2026-11-02T02:35:18.160Z (2 days ago)
  • Versions: 24
  • Dependent Packages: 108
  • Dependent Repositories: 2,539
  • Downloads: 364,995 Last month
  • Docker Downloads: 657,319
  • Rankings:
    • Dependent packages count: 0.175%
    • Dependent repos count: 0.215%
    • Downloads: 0.469%
    • Average: 1.439%
    • Docker downloads count: 1.5%
    • Stargazers count: 2.023%
    • Forks count: 4.254%
  • Maintainers (1)
proxy.golang.org: github.com/chakki-works/seqeval

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/chakki-works/seqeval#section-documentation
  • Licenses: mit
  • Latest release: v1.2.2 (published about 6 years ago)
  • Last Synced: 2026-11-02T02:35:20.888Z (2 days ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 2.054%
    • Forks count: 2.409%
    • Average: 6.21%
    • Dependent packages count: 9.576%
    • Dependent repos count: 10.802%
pypi.org: test-travis-neko

Testing framework for sequence labeling

  • Homepage: https://github.com/chakki-works/seqeval
  • Documentation: https://test-travis-neko.readthedocs.io/
  • Licenses: MIT
  • Latest release: 0.0.2 (published over 7 years ago)
  • Last Synced: 2026-11-02T02:35:18.131Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 7 Last month
  • Rankings:
    • Stargazers count: 2.023%
    • Forks count: 4.254%
    • Dependent packages count: 7.377%
    • Average: 16.598%
    • Dependent repos count: 22.239%
    • Downloads: 47.099%
  • Maintainers (1)
spack.io: py-seqeval

seqeval is a Python framework for sequence labeling evaluation. seqeval can evaluate the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on.

  • Homepage: https://github.com/chakki-works/seqeval
  • Licenses: []
  • Latest release: 1.2.2 (published over 4 years ago)
  • Last Synced: 2026-11-02T02:35:18.921Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 7.781%
    • Forks count: 9.587%
    • Average: 18.661%
    • Dependent packages count: 57.274%
  • Maintainers (1)
conda-forge.org: seqeval

  • Homepage: https://github.com/chakki-works/seqeval
  • Licenses: MIT
  • Latest release: 1.2.2 (published almost 6 years ago)
  • Last Synced: 2026-03-20T14:10:18.396Z (8 months ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 5
  • Downloads: 77,944 Total
  • Rankings:
    • Stargazers count: 13.337%
    • Dependent repos count: 14.679%
    • Forks count: 16.391%
    • Average: 23.968%
    • Dependent packages count: 51.465%
nixpkgs-unstable: python313Packages.seqeval

Python framework for sequence labeling evaluation

nixpkgs-unstable: python314Packages.seqeval

Python framework for sequence labeling evaluation

nixpkgs-24.11: python311Packages.seqeval

Python framework for sequence labeling evaluation

nixpkgs-23.11: python311Packages.seqeval

A Python framework for sequence labeling evaluation

nixpkgs-24.05: python311Packages.seqeval

A Python framework for sequence labeling evaluation

nixpkgs-24.05: python312Packages.seqeval

A Python framework for sequence labeling evaluation

nixpkgs-23.05: python311Packages.seqeval

A Python framework for sequence labeling evaluation

nixpkgs-23.05: python310Packages.seqeval

A Python framework for sequence labeling evaluation

nixpkgs-24.11: python312Packages.seqeval

Python framework for sequence labeling evaluation

nixpkgs-23.11: python310Packages.seqeval

A Python framework for sequence labeling evaluation


Dependencies

Pipfile pypi
  • autopep8 * develop
  • flake8 * develop
  • isort * develop
  • pytest * develop
  • pytest-cov * develop
  • numpy *
  • scikit-learn *
Pipfile.lock pypi
  • attrs ==20.2.0 develop
  • autopep8 ==1.5.4 develop
  • coverage ==5.3 develop
  • flake8 ==3.8.4 develop
  • iniconfig ==1.0.1 develop
  • isort ==5.6.1 develop
  • mccabe ==0.6.1 develop
  • packaging ==20.4 develop
  • pluggy ==0.13.1 develop
  • py ==1.9.0 develop
  • pycodestyle ==2.6.0 develop
  • pyflakes ==2.2.0 develop
  • pyparsing ==2.4.7 develop
  • pytest ==6.1.1 develop
  • pytest-cov ==2.10.1 develop
  • six ==1.15.0 develop
  • toml ==0.10.1 develop
  • joblib ==0.17.0
  • numpy ==1.19.2
  • scikit-learn ==0.23.2
  • scipy ==1.5.2
  • threadpoolctl ==2.1.0
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