zigzag

Python library for identifying the peaks and valleys of a time series.

https://github.com/jbn/zigzag

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 (6.9%) to scientific vocabulary

Keywords

data-science statistics technical-analysis
Last synced: 6 months ago · JSON representation

Repository

Python library for identifying the peaks and valleys of a time series.

Basic Info
  • Host: GitHub
  • Owner: jbn
  • License: bsd-3-clause
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 305 KB
Statistics
  • Stars: 468
  • Watchers: 28
  • Forks: 190
  • Open Issues: 19
  • Releases: 0
Topics
data-science statistics technical-analysis
Created almost 12 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog License

README.md

build-and-test-python PyPI version GitHub stars GitHub license PyPI - Downloads

ZigZag

ZigZag provides functions for identifying the peaks and valleys of a time series. Additionally, it provides a function for computing the maximum drawdown.

For fastest understanding, view the IPython notebook demo tutorial.

Contributing

This is an admittedly small project. Still, if you have any contributions, please fork this project on github and send me a pull request.

Owner

  • Name: John B Nelson
  • Login: jbn
  • Kind: user
  • Location: Neverwhere. And, Palo Alto, CA.
  • Company: Abreka, Inc.

Computational Social Science, Ph.D. Expert Bikeshedder. Wanna be <strike>psychohistorian</strike>cybernetic engineer.

GitHub Events

Total
  • Issues event: 1
  • Watch event: 29
  • Issue comment event: 14
  • Pull request event: 4
  • Fork event: 13
Last Year
  • Issues event: 1
  • Watch event: 29
  • Issue comment event: 14
  • Pull request event: 4
  • Fork event: 13

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 26
  • Total Committers: 2
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.115
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
John B Nelson j****n@a****m 23
John B Nelson j****n@a****m 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 26
  • Total pull requests: 16
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 11 months
  • Total issue authors: 26
  • Total pull request authors: 8
  • Average comments per issue: 2.92
  • Average comments per pull request: 0.19
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 12.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • pepeto (1)
  • im-keiran (1)
  • traddo (1)
  • allran (1)
  • sfmqrb (1)
  • enoch777 (1)
  • distagon (1)
  • MarcelDelhez (1)
  • sunilgug (1)
  • fjp1369 (1)
  • HumanRupert (1)
  • Sithipath41 (1)
  • jbn (1)
  • mohvic78 (1)
  • rbuenmon9 (1)
Pull Request Authors
  • jbn (9)
  • zillionare (2)
  • mnamvari (2)
  • ketuckychix (2)
  • ytian (1)
  • nealmcb (1)
  • triwahyunugroho (1)
  • tomas-rampas (1)
Top Labels
Issue Labels
bug (2) enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 423 last-month
  • Total docker downloads: 33
  • Total dependent packages: 5
  • Total dependent repositories: 7
  • Total versions: 9
  • Total maintainers: 1
pypi.org: zigzag

Package for finding peaks and valleys of time series.

  • Versions: 9
  • Dependent Packages: 5
  • Dependent Repositories: 7
  • Downloads: 423 Last month
  • Docker Downloads: 33
Rankings
Dependent packages count: 1.6%
Docker downloads count: 3.3%
Stargazers count: 3.3%
Forks count: 3.9%
Average: 4.2%
Dependent repos count: 5.6%
Downloads: 7.4%
Maintainers (1)
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • Cython *
  • numpy *