quantile

Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05

https://github.com/matttproud/python_quantile_estimation

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.0%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05

Basic Info
  • Host: GitHub
  • Owner: matttproud
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Size: 113 KB
Statistics
  • Stars: 15
  • Watchers: 2
  • Forks: 4
  • Open Issues: 2
  • Releases: 0
Created almost 13 years ago · Last pushed about 3 years ago
Metadata Files
Readme License

README.md

pythonquantileestimation

Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05

$ python setup.py install

Owner

  • Name: Matt T. Proud
  • Login: matttproud
  • Kind: user
  • Location: Zürich, Schweiz
  • Company: @google

@golang, @google, @grpc, and @prometheus. Also on Mastodon at @matt@proud.social.

GitHub Events

Total
  • Watch event: 1
  • Pull request event: 2
Last Year
  • Watch event: 1
  • Pull request event: 2

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 2
  • Total Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Matt T. Proud m****d@g****m 2

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 2
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Allineer (2)
Pull Request Authors
  • antonmyronyuk (3)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 53,842 last-month
  • Total docker downloads: 108,561
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 25
    (may contain duplicates)
  • Total versions: 2
  • Total maintainers: 2
pypi.org: quantile-python

Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE'05

  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 22
  • Downloads: 53,805 Last month
  • Docker Downloads: 108,561
Rankings
Docker downloads count: 1.1%
Downloads: 1.2%
Dependent repos count: 3.1%
Dependent packages count: 4.7%
Average: 6.8%
Forks count: 15.4%
Stargazers count: 15.6%
Maintainers (1)
Last synced: 12 months ago
pypi.org: quantile

Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE'05

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 3
  • Downloads: 37 Last month
Rankings
Dependent repos count: 9.0%
Dependent packages count: 10.0%
Forks count: 15.3%
Stargazers count: 15.6%
Average: 17.4%
Downloads: 36.9%
Maintainers (1)
Last synced: 12 months ago

Dependencies

setup.py pypi