Skip to main content

Photonic Integrated ELectronics

PyPI Name PyPI Version Documentation Status Coverage MIT Black

Microservices to codesign photonics, electronics, communications, quantum, and more.

Target functionality

  • Co-simulation and optimisation between integrated photonic and electronic chip design.
  • System interconnection modelling in multiple domains.
  • Experimental and simulation metadata/data management & integration.
  • Chip and interposer design integration.
  • Co-design components to circuits flow.
  • Maintain a multi-tool dependency design environment.

piel aims to provide an integrated workflow to co-design photonics and electronics, classically and quantum. It does not aim to replace the individual functionality of each design tool, but rather provide a glue to easily connect them all together and extract the system performance.

Examples

Follow the many examples in the documentation.

Microservices Toolset

This package provides interconnection functions to easily co-design microelectronics through the functionality of the major python-integrated microelectronics projects and photonics via the GDSFactory project.

image

Some existing microservice dependency integrations are:

  • amaranth - A modern hardware definition language and toolchain based on Python.
  • cocotb - a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python.
  • hdl21 - Analog Hardware Description Library in Python
  • GDSFactory - An open source platform for end to-end photonic chip design and validation
  • Openlane v2 - The next generation of OpenLane, rewritten from scratch in Python with a modular architecture
  • sax - S-parameter based frequency domain circuit simulations and optimizations using JAX.
  • thewalrus -A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.
  • qutip - QuTiP: Quantum Toolbox in Python

piel also provides a common dependency-resolved environment for all these tools, so that you just get started with designing rather than manage dependencies (which is a massive pain). Full flow environment toolsets can use nix, docker, and local installations following the existing open-source design flows.

Contribution

If you feel dedicated enough to become a project maintainer, or just want to do a single contribution, let's do this together!

Metadata

Release files for piel 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for piel 0.1.0
File Size Uploaded Provenance Actions
piel-0.1.0.tar.gz 239.2 kB Without provenance Details for piel-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for piel 0.1.0
File Interpreter ABI Platform Actions
piel-0.1.0-py3-none-any.whl Python 3 none any Details for piel-0.1.0-py3-none-any.whl

Total release size: 615.6 kB

Release files / piel-0.1.0.tar.gz

Download URL piel-0.1.0.tar.gz
Size 239.2 kB
Tags Source
SHA-256 checksum
How to use checksums
d0a4abf7d9e95f83d85e11f03429054eb152973e3db10ce89fc593ecbf11003f
BLAKE2b-256 checksum
How to use checksums
6b018d13d2d8028259608d7f55fa9d0b54264195cd7d09301c9ab8444f7bbe56
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9

Release files / piel-0.1.0-py3-none-any.whl

Download URL piel-0.1.0-py3-none-any.whl
Size 376.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c5862cf74d7d726b13014553532f96c88881cddc5d51e568eccf9b120a131045
BLAKE2b-256 checksum
How to use checksums
8f065aaba5fb5bb5b4321472f93c7dcd8c3e58c59267f12ca60d157e7b1ab030
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9

Security for piel 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page