IPFX

v2.0.0

Intrinsic Physiology Feature Extractor (IPFX) - tool for computing neuronal features from the intracellular electrophysiological recordings For more information about how to use this package see README

Latest version published 1 year ago

License: Unrecognized

PyPI

GitHub

Package Health Score

45 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Sustainable

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Popularity

Limited

GitHub Stars: 27
Forks: 38
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package IPFX, we found that it has been starred 27 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 28, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Unrecognized

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 61
Open PR: 4
Last Release: 1 year ago
Last Commit: 3 months ago

Further analysis of the maintenance status of IPFX based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for IPFX is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like IPFX is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.11.*, ==3.9.*

Age: 6 years
Latest Release: 1 year ago
Dependencies: 16 Direct / 87 Total
Versions: 11
Maintainers: 0
Wheels: OS Independent

Readme

Welcome to Intrinsic Physiology Feature Extractor (IPFX)

IPFX is a Python package for computing intrinsic cell features from electrophysiology data. With this package you can:

Perform cell data quality control (e.g. resting potential stability)
Detect action potentials and their features (e.g. threshold time and voltage)
Calculate features of spike trains (e.g., adaptation index)
Calculate stimulus-specific cell features

This software is designed for use in the Allen Institute for Brain Science electrophysiology data processing pipeline.

For usage and installation instructions, see the documentation.

Quick Start

To start analyzing data now, check out the quick_start . For a more in depth guide to IPFX, see tutorial

Contributing

We welcome contributions! Please see our contribution guide for more information. Thank you!

Deprecation Warning

The 2.0.0 release of IPFX drops support for Python 3.6 which reached end of life and stopped receiving security updated on December 23, 2021. IPFX is now tested on Python 3.9 and higher.

IPFX dependencies

allensdk argschema dictdiffer h5py marshmallow matplotlib methodtools numpy pandas pg8000 pillow pyabf pyyaml scipy simplejson watchdog

FAQs

What is IPFX?

Intrinsic Physiology Feature Extractor (IPFX) - tool for computing neuronal features from the intracellular electrophys... Visit Snyk Advisor to see a full health score report for IPFX, including popularity, security, maintenance & community analysis.

Is IPFX popular?

The python package IPFX receives a total of 354 weekly downloads. As such, IPFX popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is IPFX well maintained?

We found indications that IPFX is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is IPFX safe to use?

While scanning the latest version of IPFX, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 25 November-2025, at 17:01 (UTC).

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