ElecSolver
Overview
ElecSolver formalizes electric systems as linear problems, suitable for both temporal and frequency-domain studies. It focuses on constructing the linear system representation, leaving the actual numerical resolution to the user.
This repository is not a general-purpose electrical system solver. Instead, it acts as a bridge between:
- The graph-based description of an electric network
- The corresponding sparse linear system to solve
In a very simple way, ElecSolver takes as an input the Resistances $R$, Capacitances $C$, Inductances $L$, Mutuals $M$, Current sources $I$ and Voltage sources $V$ along with the connectivity graph $G$ of the system and outputs the linear system: matrix $S$ and vector $b$ to solve in order to get the solution of the electric problem.
$$f_{\text{ElecSolver}}(R,C,L,M,I,V,G) = (S,b)$$
It is then up to the user to choose the solver they want for solving the system $Sx=b$ and to manage the time iterations if needed for temporal problems.
The main goal of ElecSolver is to provide a friendly Python interface for simulating and optimizing analog electric systems. While suitable for small circuit simulations, its strength lies in its scalability: it is able to build linear systems with millions of nodes and components.
Documentation
The documentation is available in the docs folder and can be built using zensical. You can also view the documentation online at https://williampiat3.github.io/ElecSolver/.
How to install
Using spack (recommended)
The recommended way of installing ElecSolver is spack since spack provides a MUMPS solver (and its python bindings python-mumps) optimized for your platform.
spack install py-elecsolver py-python-mumps
Using pip
ElecSolver is distributed on PyPI and can be installed using pip or conda/mamba.
pip install ElecSolver
Using conda/mamba
ElecSolver is also available on conda-forge and can be installed using conda or mamba:
conda install elecsolver
For solving linear systems, we advise using MUMPS through python-mumps, available for Linux, macOS, and Windows. It can be installed via conda:
conda install python-mumps
From source
You can also install ElecSolver from source by cloning the repository and running:
pip install .
you will need to have numpy and scipy installed in your environment
1 maintainer
Metadata
1 maintainer
Release files for ElecSolver 2.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| elecsolver-2.2.1.tar.gz | 227.3 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| elecsolver-2.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 257.0 kB
Release files / elecsolver-2.2.1.tar.gz
| Download URL | elecsolver-2.2.1.tar.gz |
|---|---|
| Size | 227.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
49c2bc6d30b2bc969012e155c101e43134a0a74652458e2aff658f25df627c7d
|
|
BLAKE2b-256 checksum How to use checksums |
3e51674e000157168386353bc348b34230f905a47d5f4575d316cb7be98070e2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.
Transparency logRelease files / elecsolver-2.2.1-py3-none-any.whl
| Download URL | elecsolver-2.2.1-py3-none-any.whl |
|---|---|
| Size | 29.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3048542b4d414ea7002d32172c7538270b1a0792132582a6ef498d9d9c2f5da7
|
|
BLAKE2b-256 checksum How to use checksums |
713c195226f3ee7fbfc4e7d815c6eb2919a8bde0c919dcb23497636bf6578cf7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.
Transparency logSecurity for ElecSolver 2.2.1
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for elecsolver-2.2.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 20, 2026.
Transparency logA 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.
