semvec/pypi-packages huggingface dataset:
polymera 0.1.3
Representing ambiguous sequences written with complement alphabets.
Keywords: biology, sequence, DNA

Project description
===================

Polymera is a Python package for representing ambiguous sequences written with complement alphabets.


**Install:**

.. code:: bash

  pip install polymera

**Web documentation:** `<https://edinburgh-genome-foundry.github.io/Polymera/>`_

**Github page:** `<https://github.com/Edinburgh-Genome-Foundry/Polymera>`_


**License:** MIT

Copyright 2020 Edinburgh Genome Foundry, University of Edinburgh


More biology software
---------------------

.. image:: https://raw.githubusercontent.com/Edinburgh-Genome-Foundry/Edinburgh-Genome-Foundry.github.io/master/static/imgs/logos/egf-codon-horizontal.png
  :target: https://edinburgh-genome-foundry.github.io/

Polymera is part of the `EGF Codons <https://edinburgh-genome-foundry.github.io/>`_ synthetic biology software suite for DNA design, manufacturing and validation.
lossy-image 0.1.1
A framework for performing lossy image compression using various algorithms and evaluating the compression quality with multiple metrics
Requires Python: >=3.11

# Lossy Image

This project provides a framework for performing lossy image compression using various algorithms and evaluating the compression quality with multiple metrics. It includes implementations for managing compression processes, evaluating results, and handling different compression algorithms.

## Features
- Modular Compression Framework: Easily plug in different compression algorithms.
- Evaluation Metrics: Supports multiple image quality metrics to compare original and compressed images.
- Results Handling: Stores and processes compression and evaluation results.
- Flexible Input Options: Evaluate using image file paths or compression results.