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ambit-stochastics

A repository dedicated to the study of Ambit fields and Trawl processes

https://github.com/danleonte/ambit_stochastics

Science Score: 54.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.7%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

A repository dedicated to the study of Ambit fields and Trawl processes

Basic Info
  • Host: GitHub
  • Owner: danleonte
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 31.8 MB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created over 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Ambit-Stochastics

A repository dedicated to the study of Ambit fields and Trawl processes. The library can be downloaded from https://pypi.org/project/Ambit-Stochastics/.

The Trawl processes example usage and Simple ambit field example usage jupyter notebooks in the git root folder explains the functionality of the library. The full documentation is available at https://danleonte.github.io/Ambit_Stochastics/index.html

Owner

  • Name: Dan Leonte
  • Login: danleonte
  • Kind: user
  • Location: London
  • Company: Imperial College London

PhD student in statistics

Citation (citation.cff) 

cff-version: 1.0.6
message: "If you use this software, please cite it as below."
authors:
- family-names: "Leonte"
  given-names: "Dan"
  orcid: https://orcid.org/0000-0001-9381-1395
title: "Ambit_Stochastics"
doi: DOI: 10.5281/zenodo.8298074
date-released: 29/08/2023
version: 1.0.6
url: "https://github.com/danleonte/Ambit_Stochastics"

GitHub Events

Total
Last Year

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 26
  • Total Committers: 2
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.308
Top Committers
Name Email Commits
Dan Leonte d****6@i****k 18
Dan Leonte 4****e@u****m 8
Committer Domains (Top 20 + Academic)
ic.ac.uk: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 72 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
  • Total maintainers: 1
pypi.org: ambit-stochastics

A pacakge dedicated to the study of Ambit fields and Trawl processes

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 72 Last month
Rankings
Dependent packages count: 10.0%
Forks count: 22.6%
Stargazers count: 25.0%
Downloads: 26.3%
Average: 30.3%
Dependent repos count: 67.5%
Maintainers (1)
danleonte
Last synced: 7 months ago

Dependencies

requirements.txt pypi
  • import_file >=1.11
  • math >=3.10.1
  • matplotlib >=3.5.1
  • numpy >=1.21.4
  • pandas >=1.3.4
  • scipy >=1.7.1
  • statsmodels >=0.13.1