quati

Dynamic data eng. functions to accelerate development and coding

https://github.com/quati-dev/quati

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 (13.9%) to scientific vocabulary

Keywords

automation data-engineering python quati
Last synced: 6 months ago · JSON representation

Repository

Dynamic data eng. functions to accelerate development and coding

Basic Info
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
automation data-engineering python quati
Created about 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Citation Authors

README.md





quati: A python Quick Actions Toolkit for data engeneering



What is it?

quati provides dynamic functions aimed at data engineering, offering a wide range of collections to accelerate development. It has a comprehensive and flexible ecosystem of tools, libraries, and community resources, allowing data engineers to easily build and deploy applications.

Table of Contents


Main Features

Here are just a few of the things that pandas does well:

Where to get it / Install

The source code is currently hosted on GitHub at: https://github.com/quati-dev/quati

[!WARNING] It's essential to use Python 3.10 🡽 version <!-- > It's essential to upgrade pip to the latest version to ensure compatibility with the library. --> <!-- > ```sh

Requires the latest pip

pip install --upgrade pip ``` -->

  • PyPI 🡽 sh # PyPI pip install quati
  • GitHub sh # or GitHub pip install git+https://github.com/quati-dev/quati.git

Documentation

License

Dependencies

See the full installation instructions for minimum supported versions of required, recommended and optional dependencies.


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Owner

  • Name: quati
  • Login: quati-dev
  • Kind: organization

Simplifies working with data

Citation (CITATION.cff)


      

GitHub Events

Total
  • Watch event: 1
  • Push event: 11
Last Year
  • Watch event: 1
  • Push event: 11

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 90
  • Total Committers: 3
  • Avg Commits per committer: 30.0
  • Development Distribution Score (DDS): 0.233
Past Year
  • Commits: 58
  • Committers: 2
  • Avg Commits per committer: 29.0
  • Development Distribution Score (DDS): 0.345
Top Committers
Name Email Commits
lucaslealll l****t@g****m 69
lucaslealll l****t@g****m 20
Lucas Andrade 6****l 1

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 221 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 5
  • Total maintainers: 1
pypi.org: quati

Dynamic data eng. functions to accelerate development and coding

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 221 Last month
Rankings
Dependent packages count: 8.8%
Average: 29.0%
Dependent repos count: 49.3%
Maintainers (1)
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • google-api-core ==2.10.2
  • google-api-python-client ==1.7.11
  • google-auth ==2.14.1
  • google-auth-httplib2 ==0.0.3
  • google-auth-oauthlib ==0.7.1
  • google-cloud-bigquery ==3.3.6
  • google-cloud-bigquery-storage ==2.16.2
  • google-cloud-core ==2.3.2
  • google-cloud-secret-manager ==2.7.2
  • google-crc32c ==1.5.0
  • google-resumable-media ==2.4.0
  • googleapis-common-protos ==1.57.0
  • googleauthentication ==0.0.17
  • grpc-google-iam-v1 ==0.12.4
  • gspread ==5.7.1
  • httplib2 ==0.20.2
  • numpy ==1.23.4
  • pandas ==1.3.4
  • pandas-gbq ==0.17.9
  • pydata-google-auth ==1.4.0
  • pymongo ==4.3.3
  • pyodbc ==4.0.35
  • pypickle ==1.1.0
  • pytest ==7.2.1
  • selenium ==4.6.0
  • undetected-chromedriver ==3.1.6
pyproject.toml pypi