Skip to main content

DearEIS

A GUI program for analyzing, simulating, and visualizing impedance spectra.

tests build PyPI - Python Version GitHub PyPI DOI

Table of contents

About

DearEIS is a Python package that includes a program with a graphical user interface (GUI) for working with impedance spectra. An application programming interface (API) is also included that is primarily for batch processing. The target audience is researchers who use electrochemical impedance spectroscopy (EIS) though the program may also be useful in educational settings.

The GUI program implements features such as:

  • projects that can contain multiple experimental data sets and analysis results
  • reading certain data formats and parsing the experimental data contained within
  • validation of impedance spectra using linear Kramers-Kronig tests or the Z-HIT algorithm
  • estimation of the distribution of relaxation times (DRT)
  • construction of circuits, e.g., by parsing circuit description codes (CDC) or by using the included graphical editor
  • support for user-defined circuit elements
  • complex non-linear least squares fitting of equivalent circuits
  • simulation of the impedance spectra of circuits
  • visualization of impedance spectra and/or various analysis results

See the official documentation for instructions on how to install DearEIS, screenshots and guides, and the API reference.

Those who would prefer to only use an API (or a command-line interface (CLI)) for everything may wish to use pyimpspec instead.

Changelog

See CHANGELOG.md for details.

Contributing

If you wish to contribute to the further development of DearEIS, then there are several options available to you depending on your ability and the amount of time that you can spare.

If you find bugs, wish some feature was added, or find the documentation to be lacking, then please open an issue on GitHub.

If you wish to contribute code, then start by cloning the repository:

git clone https://github.com/vyrjana/DearEIS.git

The development dependencies can be installed from within the repository directory:

pip install -r ./dev-requirements.txt

Create a new branch based on either the main branch or the most recent development branch (e.g., dev-*), and submit your changes as a pull request.

Note that some of the core functionality of DearEIS is based on pyimpspec and thus certain changes (e.g., parsers for data formats) should be contributed to that project instead.

Code contributions should, if it is applicable, also include unit tests, which should be implemented in files placed in the tests folder found in the root of the repository along with any assets required by the tests. It should be possible to run the tests by executing the run_tests.sh script, which uses the test discovery built into the unittest module that is included with Python.

See CONTRIBUTORS for a list of people who have contributed to the DearEIS project.

License

Copyright 2026 DearEIS developers

DearEIS is licensed under the GPLv3 or later.

The licenses of DearEIS' dependencies and/or sources of portions of code are included in the LICENSES folder.

Metadata

Release files for deareis 5.2.0

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

Source distribution (sdist)

Source distribution for deareis 5.2.0
File Size Uploaded Provenance Actions
deareis-5.2.0.tar.gz 616.1 kB Without provenance Details for deareis-5.2.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for deareis 5.2.0
File Interpreter ABI Platform Actions
deareis-5.2.0-py3-none-any.whl Python 3 none any Details for deareis-5.2.0-py3-none-any.whl

Total release size: 1.4 MB

Release files / deareis-5.2.0.tar.gz

Download URL deareis-5.2.0.tar.gz
Size 616.1 kB
Tags Source
SHA-256 checksum
How to use checksums
1e7c10d232dffa40275a28b976d478ca31cf2119cbcd9232fb1b251b68209be0
BLAKE2b-256 checksum
How to use checksums
cc120e8abb4f1cf1114bfc16ce26a078b59a245edd3b98a256c2435fa6ede32e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Release files / deareis-5.2.0-py3-none-any.whl

Download URL deareis-5.2.0-py3-none-any.whl
Size 769.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
95030561e5ef3ad96eebe5530945503abfe8385d3ac589ef85a544835aa07ffd
BLAKE2b-256 checksum
How to use checksums
9c69ff1d17fab58b300633d744c2e809ebf07f7129542b60f3f8f5caf2609704
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Security for deareis 5.2.0

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

5.2.0 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