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mango

baobab approach for DRY

https://github.com/baobabsoluciones/mango

Science Score: 26.0%

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
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

baobab approach for DRY

Basic Info
Statistics
  • Stars: 3
  • Watchers: 3
  • Forks: 2
  • Open Issues: 128
  • Releases: 14
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License Codeowners

README.rst 

Mango
------

.. image:: https://img.shields.io/pypi/v/mango?label=version&logo=python&logoColor=white&style=for-the-badge&color=E58164
   :alt: PyPI
   :target: https://pypi.python.org/pypi/cornflow-client
.. image:: https://img.shields.io/pypi/l/mango?color=blue&style=for-the-badge
  :alt: PyPI - License
  :target: https://github.com/baobabsoluciones/cornflow/blob/master/LICENSE
.. image:: https://img.shields.io/github/actions/workflow/status/baobabsoluciones/mango/build_docs.yml?label=docs&logo=github&style=for-the-badge
   :alt: GitHub Workflow Status
   :target: https://github.com/baobabsoluciones/cornflow/actions
.. image:: https://img.shields.io/codecov/c/gh/baobabsoluciones/mango?flag=unit-tests&label=coverage&logo=codecov&logoColor=white&style=for-the-badge&token=0KKRF3J95L
    :alt: Codecov
    :target: https://app.codecov.io/gh/baobabsoluciones/mango

This a library containing several modules developed by the team at baobab soluciones. These functions, classes and methods are based on their experience, understanding and knowledge of the Python language and its ecosystem.

The functions are divided in different modules so even though everything is imported the dependencies can be installed only for the modules that are needed.

Owner

  • Name: baobab soluciones
  • Login: baobabsoluciones
  • Kind: organization
  • Email: info@baobabsoluciones.es
  • Location: Madrid, Spain

We combine technology, data and intelligent analytics to help a wide variety of industries achieve unprecedented efficiency and productivity.

GitHub Events

Total
  • Create event: 55
  • Release event: 3
  • Issues event: 152
  • Watch event: 1
  • Delete event: 49
  • Member event: 2
  • Issue comment event: 17
  • Push event: 466
  • Pull request review event: 117
  • Pull request review comment event: 123
  • Pull request event: 71
Last Year
  • Create event: 55
  • Release event: 3
  • Issues event: 152
  • Watch event: 1
  • Delete event: 49
  • Member event: 2
  • Issue comment event: 17
  • Push event: 466
  • Pull request review event: 117
  • Pull request review comment event: 123
  • Pull request event: 71

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 51
  • Total Committers: 8
  • Avg Commits per committer: 6.375
  • Development Distribution Score (DDS): 0.412
Past Year
  • Commits: 42
  • Committers: 6
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.381
Top Committers
Name Email Commits
Guillermo González-Santander de la Cruz g****z@b****s 30
Hugo Larzabal h****l@b****s 9
hugolarzabal 4****l 4
Guillermo Valle Gutiérrez g****z@g****m 3
Lucasct77 7****7 2
Luis Pita-Romero 6****r 1
Guillermo González-Santander de la Cruz g****z@g****m 1
AntonioGonzalezSuarez 1****z 1
Committer Domains (Top 20 + Academic)
baobabsoluciones.es: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 190
  • Total pull requests: 206
  • Average time to close issues: 25 days
  • Average time to close pull requests: 9 days
  • Total issue authors: 8
  • Total pull request authors: 16
  • Average comments per issue: 0.11
  • Average comments per pull request: 0.6
  • Merged pull requests: 172
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 168
  • Pull requests: 69
  • Average time to close issues: 7 days
  • Average time to close pull requests: 6 days
  • Issue authors: 7
  • Pull request authors: 10
  • Average comments per issue: 0.02
  • Average comments per pull request: 0.19
  • Merged pull requests: 52
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • FranciscoWagnerManetti (87)
  • ngorrinm (34)
  • gvalleg (29)
  • ggsdc (15)
  • gerard-pv (8)
  • AntonioGonzalezSuarez (7)
  • anamartiiins (5)
  • antoniogonzalezsuarez (5)
Pull Request Authors
  • ggsdc (70)
  • gvalleg (53)
  • ngorrinm (19)
  • hugolarzabal (18)
  • AntonioGonzalezSuarez (14)
  • antoniogonzalezsuarez (9)
  • montsemunoz (6)
  • juancobo6 (3)
  • bwronska (3)
  • gerard-pv (2)
  • Lucasct77 (2)
  • GreekSculpt (2)
  • DanielCruzVillameriel (2)
  • FranciscoWagnerManetti (1)
  • l-prr (1)
Top Labels
Issue Labels
enhancement (47) mango_time_series library (19) good first issue (17) mango_autoencoder (9) documentation (5) bug (5) mango_dashboard (5) security (2) help wanted (1) mango library (1)
Pull Request Labels
enhancement (54) bug (13) documentation (10) mango_time_series library (4) mango library (3) mango_autoencoder (1) mango_dashboard (1) mango_genetic (1)

Packages

  • Total packages: 6
  • Total downloads:
    • pypi 4,138 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 2
    (may contain duplicates)
  • Total versions: 45
  • Total maintainers: 2
pypi.org: mango

Library with a collection of usefull classes and methods to DRY

  • Versions: 27
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 4,054 Last month
Rankings
Downloads: 7.5%
Average: 9.7%
Dependent packages count: 10.1%
Dependent repos count: 11.6%
Maintainers (2)
sistemas ggsdc
Last synced: 6 months ago
pypi.org: mango-dashboard

Library with a collection of useful classes and methods to DRY

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 8.6%
Forks count: 20.2%
Average: 26.0%
Stargazers count: 26.8%
Dependent repos count: 48.4%
Maintainers (1)
sistemas
Last synced: 6 months ago
pypi.org: mango-genetic

Library with a collection of useful classes and methods to DRY

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 8.6%
Forks count: 20.2%
Average: 26.0%
Stargazers count: 26.8%
Dependent repos count: 48.4%
Maintainers (1)
sistemas
Last synced: 6 months ago
pypi.org: mango-autoencoder

Library with a collection of useful classes and methods to DRY

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 8.6%
Forks count: 20.2%
Average: 26.0%
Stargazers count: 26.8%
Dependent repos count: 48.4%
Maintainers (1)
sistemas
Last synced: 6 months ago
pypi.org: mango-calendar

Library with a collection of useful classes and methods to DRY

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 31 Last month
Rankings
Dependent packages count: 8.8%
Average: 29.2%
Dependent repos count: 49.7%
Maintainers (1)
sistemas
Last synced: 6 months ago
pypi.org: mango-time-series

Library with a collection of usefull classes and methods for time series

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 53 Last month
Rankings
Dependent packages count: 10.6%
Average: 35.3%
Dependent repos count: 60.0%
Maintainers (1)
sistemas
Last synced: 7 months ago

Dependencies

.github/workflows/build_docs.yml actions
  • actions/checkout v1 composite
  • actions/setup-python v2 composite
  • ad-m/github-push-action master composite
.github/workflows/mango_publish_to_pypi.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
.github/workflows/mango_unit_testing.yml actions
  • actions/checkout v1 composite
  • actions/checkout v2 composite
  • actions/setup-python v4 composite
  • actions/setup-python v1 composite
  • codecov/codecov-action v3 composite
pyproject.toml pypi
  • XlsxWriter <=3.1.9
  • certifi <=2023.7.22
  • charset-normalizer <=3.3.0
  • et-xmlfile <=1.1.0
  • fastjsonschema <=2.18.1
  • idna <=3.4
  • numpy <=1.26.1
  • openpyxl <=3.1.2
  • pydantic <=2.4.2
  • python-dateutil <=2.8.2
  • pytups <=0.86.2
  • pytz <=2023.3.post1
  • requests <=2.31.0
  • six <=1.16.0
  • tqdm <=4.66.1
  • urllib3 <=2.0.7
requirements-dev.txt pypi
  • coverage * development
  • lightgbm ==4.1.0 development
  • scikit-learn ==1.3.2 development
  • shibuya * development
  • sphinx * development
  • xgboost ==2.0.2 development
requirements.txt pypi
  • Pillow <=10.0.1
  • Pyomo <=6.6.2
  • XlsxWriter <=3.1.9
  • beautifulsoup4 <=4.12.2
  • certifi <=2023.7.22
  • charset-normalizer <=3.3.0
  • et-xmlfile <=1.1.0
  • fastjsonschema <=2.18.1
  • google-cloud-storage <=2.12.0
  • holidays <=0.35
  • idna <=3.4
  • numpy <=1.26.1
  • openpyxl <=3.1.2
  • pandas <=2.0.3
  • plotly <=5.17.0
  • pycountry <=22.3.5
  • pydantic <=2.4.2
  • python-dateutil <=2.8.2
  • pytups <=0.86.2
  • pytz <=2023.3.post1
  • requests <=2.31.0
  • shap ==0.43.0
  • six <=1.16.0
  • streamlit <=1.28.0
  • tabulate <=0.9.0
  • tqdm <=4.66.1
  • unidecode <=1.3.7
  • urllib3 <=2.0.7