https://github.com/gasparka/pyha

Describe, simulate and debug hardware in Python
https://github.com/gasparka/pyha

dsp fixed-point python simulation verification vhdl

Last synced: 5 months ago
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Describe, simulate and debug hardware in Python

• Host: GitHub
• URL: https://github.com/gasparka/pyha
• Owner: gasparka
• License: other
• Created: 2016-10-15T15:45:31.000Z (over 9 years ago)
• Default Branch: develop
• Last Pushed: 2024-12-08T17:34:35.000Z (over 1 year ago)
• Last Synced: 2025-09-19T02:29:44.503Z (9 months ago)
• Topics: dsp, fixed-point, python, simulation, verification, vhdl
• Language: Jupyter Notebook
• Homepage:
• Size: 86.7 MB
• Stars: 9
• Watchers: 3
• Forks: 1
• Open Issues: 78
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
====

pyha

====

.. image:: https://img.shields.io/pypi/v/pyha.svg

    :target: https://pypi.python.org/pypi/pyha

.. image:: https://img.shields.io/travis/gasparka/pyha.svg

    :target: https://travis-ci.org/gasparka/pyha

.. image:: https://pyup.io/repos/github/gasparka/pyha/shield.svg

    :target: https://pyup.io/repos/github/gasparka/pyha/

    :alt: Updates

.. image:: https://coveralls.io/repos/github/gasparka/pyha/badge.svg?branch=develop

    :target: https://coveralls.io/github/gasparka/pyha?branch=develop

* Free software: Apache Software License 2.0

Install

-------

From pip:

``pip install --user pyha``

RTL/NETLIST level simulations require `Docker `_ :

``curl -fsSL https://get.docker.com | sh``

Follow the instructions to add yourself to the 'docker' group.

Features

--------

* Describe hardware in Python and convert to VHDL

* Cycle-accurate and fast simulator

* Debuggable in Python – very useful as Python and VHDL sources are highly correlated

* Simple testing framework by pairing pytest and cocotb

* Builtin fixed-point and complex types

Quick start

-----------

Take a look at the cores implemented in Pyha, each of them have a Notebook to ease the experimentation.

For example, start with the moving-average core:

`Python source `_

`Notebook `_

`VHDL conversion `_

And then see how the 'dc-removal' is built by reusing the 'moving-average' component:

`Python source `_

`Notebook `_

`VHDL conversion `_

Documentation

-------------

Under construction!