semvec/pypi-packages huggingface dataset:
dinko-test-sdk-py3 2.7.8
Python SDK test services.
License: MIT
Requires Python: >=3.6

# DINKO TEST SDK

The official Python SDK for using test services.

The idea behind this SDK is to enable easier out-of-the-box development of software integrations and automation services that need to interact with Test.

#### Error handling
Each module raises corresponding custom exceptions according to the error status code returned in the response. 
Custom exception classes that correspond to error status codes also carry the original response object in its entirety. 
To learn how to fetch and use the response object out of the exception object, see the following examples.

2.7.8
scikit-allel 1.3.13
A Python package for exploring and analysing genetic variation data.
License: MIT
Requires Python: >=3.10

``scikit-allel``
================

A Python package for exploratory analysis of large scale genetic variation data.

* Documentation: http://scikit-allel.readthedocs.org
* Source code: https://github.com/cggh/scikit-allel
* Download: https://pypi.python.org/pypi/scikit-allel

.. image:: https://zenodo.org/badge/7890/cggh/scikit-allel.svg
   :target: https://zenodo.org/badge/latestdoi/7890/cggh/scikit-allel

.. image:: https://readthedocs.org/projects/scikit-allel/badge/?version=latest
    :target: http://scikit-allel.readthedocs.io/en/latest/?badge=latest

.. image:: https://travis-ci.org/cggh/scikit-allel.svg?branch=master
    :target: https://travis-ci.org/cggh/scikit-allel

.. image:: https://ci.appveyor.com/api/projects/status/1fna2yr9uht0u296?svg=true
    :target: https://ci.appveyor.com/project/alimanfoo/scikit-allel


Development status
******************

Please note that scikit-allel is no longer under active development
and is now in "maintenance-only" mode. The intended successor
project is `sgkit <https://github.com/pystatgen/sgkit>`__ (the Statistical
Genetics Toolkit) which should support all the functionality of sckit-allel,
but provide better scaling, performance and maintainability.
Sgkit is not yet at feature parity with scikit-allel and is therefore
not ready for all applications, but we welcome `contributions
<https://pystatgen.github.io/sgkit/latest/contributing.html>`__!