Skip to main content

Ruff Coverage Status DOI

pynxtools-igor: A pynxtools reader for Wavemetrics Igor Pro data

pynxtools-igor is a pynxtools reader plugin for Wavemetrics Igor Pro data.

This pynxtools plugin was generated with cookiecutter using the pynxtools-plugin-template template.

Installation

It is recommended to use python 3.12 with a dedicated virtual environment for this package. Learn how to manage python versions and virtual environments.

This package is a reader plugin for pynxtools and should be installed together with pynxtools:

uv pip install pynxtools[igor]

for the latest released version.

Docs

More information about this pynxtools plugin is available in the documentation. You will find information about getting started, how-to guides, the supported file formats, how to get involved, and much more there.

Contact person in FAIRmat for this reader

Lukas Pielsticker, Laurenz Rettig, the FAIRmat team

Metadata

Release files for pynxtools-igor 0.1.7

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

Source distribution (sdist)

Source distribution for pynxtools-igor 0.1.7
File Size Uploaded
pynxtools_igor-0.1.7.tar.gz 8.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for pynxtools-igor 0.1.7
File Interpreter ABI Platform
pynxtools_igor-0.1.7-py3-none-any.whl Python 3 none any Details

Total release size: 17.7 MB

Release files / pynxtools_igor-0.1.7.tar.gz

Download URL pynxtools_igor-0.1.7.tar.gz
Size 8.8 MB
Tags Source
SHA-256 checksum
How to use checksums
f4859b2fe27fea055607748488599ae2e0ef9a5f323a43a8caad0b381acacefa
BLAKE2b-256 checksum
How to use checksums
5f205cd99157b83bbd2e2239aae4b3ad19068b60c37c65c7bd37c9ef9511f1d1
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 4, 2026.

Transparency log

Release files / pynxtools_igor-0.1.7-py3-none-any.whl

Download URL pynxtools_igor-0.1.7-py3-none-any.whl
Size 8.8 MB
Tags Python 3
SHA-256 checksum
How to use checksums
5f767461783dd0f233da46a85e0e35fc804c645a53248a1ec215849300de96a4
BLAKE2b-256 checksum
How to use checksums
62f60b5e7ee2b2eb4712ca2452420ba3f260c09454247ae1354b77d827f6b507
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 4, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.7 This release

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

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