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fitdist

fitdist is a python library for probability density fitting.

https://github.com/erdogant/fitdist

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
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.9%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

fitdist is a python library for probability density fitting.

Basic Info
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Created almost 6 years ago · Last pushed 10 months ago
Metadata Files
Readme Funding License Citation

README.md

fitdist - Probability density fitting.

Python PyPI Version License Github Forks GitHub Open Issues Project Status Downloads Downloads Open In Colab DOI Sphinx

  • fitdist is Python package that originates from distfit library.
  • More information can be found at the distfit library

Maintainers

Licence

See LICENSE for details.

Owner

  • Name: Erdogan
  • Login: erdogant
  • Kind: user
  • Location: Den Haag

Machine Learning | Statistics | Bayesian | D3js | Visualizations

Citation (CITATION.cff) 

# YAML 1.2
---
authors: 
  -
    family-names: Taskesen
    given-names: Erdogan
    orcid: "https://orcid.org/0000-0002-3430-9618"
cff-version: "1.1.0"
date-released: 2020-01-02
keywords: 
  - "probability-distribution"
  - "hypothesis-testing"
  - "probability-statistics"
  - "density-functions"
  - "fitting-curve"
license: "MIT"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/erdogant/distfit"
title: "distfit - Probability density fitting"
version: "1.4.0"
...

GitHub Events

Total
  • Release event: 1
  • Push event: 3
  • Create event: 1
Last Year
  • Release event: 1
  • Push event: 3
  • Create event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 20
  • Total Committers: 1
  • Avg Commits per committer: 20.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 5
  • Committers: 1
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
erdogant e****t@g****m 20

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 15 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 1
pypi.org: fitdist

fitdist is a Python package for probability density function fitting and hypothesis testing.

  • Homepage: https://erdogant.github.io/distfit
  • Documentation: https://fitdist.readthedocs.io/
  • License: MIT License Copyright (c) 2020 Erdogan Taskesen fitdist - Python package Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 0.2.0
    published 11 months ago
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 15 Last month
Rankings
Dependent packages count: 10.0%
Dependent repos count: 21.7%
Average: 25.8%
Downloads: 28.4%
Forks count: 29.8%
Stargazers count: 38.8%
Maintainers (1)
erdogant
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • distfit *
pyproject.toml pypi
  • datazets *
  • distfit *
  • matplotlib >=3.5.2
  • numpy *
  • tqdm *