eFEL banner
Latest Release latest release
Documentation latest documentation
License license
Build Status actions build status
Coverage coverage
Gitter
Citation DOI

Introduction

The Electrophys Feature Extraction Library (eFEL) allows neuroscientists to automatically extract features from time series data recorded from neurons (both in vitro and in silico). Examples are the action potential width and amplitude in voltage traces recorded during whole-cell patch clamp experiments. The user of the library provides a set of traces and selects the features to be calculated. The library will then extract the requested features and return the values to the user.

The core of the library is written in C++, and a Python wrapper is included. At the moment we provide a way to automatically compile and install the library as a Python module. Instructions on how to compile the eFEL as a standalone C++ library can be found here.

How to cite

When you use this eFEL software for your research, we ask you to cite it (this includes poster presentations) by referring to the "Cite this repository" button at the top of the repository page to get various citation formats, including APA and BibTeX.

For detailed citation information, please refer to the CITATION.cff file.

Requirements

  • Python 3.10+
  • Pip (installed by default in newer versions of Python)
  • C++ compiler that can be used by pip
  • Numpy (will be installed automatically by pip)
  • The instruction below are written assuming you have access to a command shell on Linux / UNIX / MacOSX / Cygwin

Installation

The easiest way to install eFEL is to use pip

pip install efel

In case you don't have administrator access this command might fail with a permission error. In that case you could install eFEL in your home directory

pip install efel --user

Or you could use a python virtual environment

virtualenv pythonenv
. ./pythonenv/bin/activate
# If you use csh or tcsh, you should use:
# source ./pythonenv/bin/activate.csh
pip install efel

If you want to install straight from the github repository you can use

pip install git+git://github.com/openbraininstitute/eFEL

Quick Start

First you need to import the module

import efel

To get a list with all the available feature names

efel.get_feature_names()

Note that the extra-cellular features, the bpap_attenuation feature and the check_ais_initiation feature are not listed above because they have to be used in a special way, as described here for extra-cellular features, here for bpap_attenuation feature and here for check_ais_initiation feature.

To change the spike detection threshold setting (default is -20 mV)

efel.set_setting('Threshold', -30)

For a full list of available settings, please refer to the Setting class

The python function to extract features is get_feature_values(...). Below is a short example on how to use this function. The code and example trace are available here

"""Basic example 1 for eFEL"""

import efel
import numpy

def main():
    """Main"""

    # Use numpy to read the trace data from the txt file
    data = numpy.loadtxt('example_trace1.txt')

    # Time is the first column
    time = data[:, 0]
    # Voltage is the second column
    voltage = data[:, 1]

    # Now we will construct the datastructure that will be passed to eFEL

    # A 'trace' is a dictionary
    trace1 = {}

    # Set the 'T' (=time) key of the trace
    trace1['T'] = time

    # Set the 'V' (=voltage) key of the trace
    trace1['V'] = voltage

    # Set the 'stim_start' (time at which a stimulus starts, in ms)
    # key of the trace
    # Warning: this need to be a list (with one element)
    trace1['stim_start'] = [700]

    # Set the 'stim_end' (time at which a stimulus end) key of the trace
    # Warning: this need to be a list (with one element)
    trace1['stim_end'] = [2700]

    # Multiple traces can be passed to the eFEL at the same time, so the
    # argument should be a list
    traces = [trace1]

    # set the threshold for spike detection to -20 mV
    efel.set_setting('Threshold', -20)

    # Now we pass 'traces' to the efel and ask it to calculate the feature
    # values
    traces_results = efel.get_feature_values(traces,
                                           ['AP_amplitude', 'voltage_base'])

    # The return value is a list of trace_results, every trace_results
    # corresponds to one trace in the 'traces' list above (in same order)
    for trace_results in traces_results:
        # trace_result is a dictionary, with as keys the requested features
        for feature_name, feature_values in trace_results.items():
            print("Feature %s has the following values: %s" %
                (feature_name, ', '.join([str(x) for x in feature_values])))


if __name__ == '__main__':
    main()

The output of this example is

Feature AP_amplitude has the following values: 72.5782441262, 46.3672552618, 41.1546679158, 39.7631750953, 36.1614653031, 37.8489295737
Feature voltage_base has the following values: -75.446665721

This means that the eFEL found 5 action potentials in the voltage trace. The amplitudes of these APs are the result of the 'AP_amplitude' feature. The voltage before the start of the stimulus is measured by 'voltage_base'. Results are in mV.

Full documentation

The full documentation can be found here

Funding

This work has been partially funded by the European Union Seventh Framework Program (FP7/2007­2013) under grant agreement no. 604102 (HBP), the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 720270, 785907 (Human Brain Project SGA1/SGA2) and by the EBRAINS research infrastructure, funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3). This project/research was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology.

Copyright (c) 2009-2024 Blue Brain Project/EPFL

Copyright (c) 2025 Open Brain Institute

Project links

Data verified by PyPI on Aug 11, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

4 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for obi.maintainer from gravatar.com obi.maintainer
+1 more Avatar for wvangeit from gravatar.com wvangeit

Credits

Author: Open Brain Institute

Maintainer: OBI Maintainer

GitHub Statistics

Data verified by PyPI on Aug 11, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)

Requires

Python >=3.10

Provides Extra

neo nwb h5py

Tags

feature extraction electrophysiology BlueBrainProject

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

efel-5.7.30.tar.gz (141.3 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

efel-5.7.30-cp314-cp314t-win_amd64.whl (418.9 kB view details)

Uploaded CPython 3.14tWindows x86-64

efel-5.7.30-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

efel-5.7.30-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

efel-5.7.30-cp314-cp314t-macosx_11_0_arm64.whl (254.3 kB view details)

Uploaded CPython 3.14tmacOS 11.0+ ARM64

efel-5.7.30-cp314-cp314-win_amd64.whl (418.8 kB view details)

Uploaded CPython 3.14Windows x86-64

efel-5.7.30-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

efel-5.7.30-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

efel-5.7.30-cp314-cp314-macosx_11_0_arm64.whl (254.0 kB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

efel-5.7.30-cp313-cp313-win_amd64.whl (408.3 kB view details)

Uploaded CPython 3.13Windows x86-64

efel-5.7.30-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

efel-5.7.30-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

efel-5.7.30-cp313-cp313-macosx_11_0_arm64.whl (254.0 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

efel-5.7.30-cp312-cp312-win_amd64.whl (408.3 kB view details)

Uploaded CPython 3.12Windows x86-64

efel-5.7.30-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

efel-5.7.30-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

efel-5.7.30-cp312-cp312-macosx_11_0_arm64.whl (254.0 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

efel-5.7.30-cp311-cp311-win_amd64.whl (408.3 kB view details)

Uploaded CPython 3.11Windows x86-64

efel-5.7.30-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

efel-5.7.30-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

efel-5.7.30-cp311-cp311-macosx_11_0_arm64.whl (253.9 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

efel-5.7.30-cp310-cp310-win_amd64.whl (408.3 kB view details)

Uploaded CPython 3.10Windows x86-64

efel-5.7.30-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

efel-5.7.30-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

efel-5.7.30-cp310-cp310-macosx_11_0_arm64.whl (253.9 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

File details

Details for the file efel-5.7.30.tar.gz.

File metadata

  • Download URL: efel-5.7.30.tar.gz
  • Upload date:
  • Size: 141.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for efel-5.7.30.tar.gz
Algorithm Hash digest
SHA256 e4c6c2d607ec453d90a52ef308d3260719fe85475e0c6aad880c6fb74305c31b
MD5 9c8436ee0868cd867220a99a884914d3
BLAKE2b-256 5398d38d9a646a5a2ac49f81d6479ba188087310e8e01d3aa9f57f2ab55f5d0e

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30.tar.gz:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314t-win_amd64.whl.

File metadata

  • Download URL: efel-5.7.30-cp314-cp314t-win_amd64.whl
  • Upload date:
  • Size: 418.9 kB
  • Tags: CPython 3.14t, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for efel-5.7.30-cp314-cp314t-win_amd64.whl
Algorithm Hash digest
SHA256 fed74df0f2a39be7e352037b97e063d754fda3690c16ad6241b13f40860fae35
MD5 ea6b36e2364c623969f5e8ad929e6895
BLAKE2b-256 ac86cd4fd2255cb0227fb46c3532809ff9bed4fb323b70c50ad3e69b7b995582

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314t-win_amd64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b75cdfa161b79919e7caed354ec64027c4ec825f0f4bc982eda029d49b2fc77c
MD5 22c84a75939080c03f855a25406d9062
BLAKE2b-256 0c6e4eacdc4acc433154a506802d4c1802ce25901b17cbeaa4f2b53f5bf8cf8a

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 723aad31469c44229f59c9404545ea21be18392951a6c10393bca2804237ad32
MD5 e42840ca2b6d9779b6f8043bbe7fd672
BLAKE2b-256 d8dd922de170790752f9b16a3647c67bad276725f16053bb7642d7cb15442d1d

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp314-cp314t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 88c1aad261834874f22a4b538dd5822ab50722a85e3818b9ad18de1fdf160fd3
MD5 387d6abe50d0f9e0a2fb309595e5fe7f
BLAKE2b-256 26428ce691d34b9136c28549b7535e5f40607c0964cf8d4e618c2126a0b009be

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314t-macosx_11_0_arm64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: efel-5.7.30-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 418.8 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for efel-5.7.30-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 090eb755cdbe93787f37dc2f503a9b88481f4f940a17627bfd23a01bdf52e104
MD5 44805c60fde69baec0254ef19fa293d4
BLAKE2b-256 63f409b677171b9303759328c7ae3d94dadc826152a0a264465fde270ae081ea

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314-win_amd64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 18edbbe4b273c3213b49e1b6cc2166a22258856bb94eacaa8187ab46790368f4
MD5 3a00eb170354ade88691a14fa042b48f
BLAKE2b-256 6e71fd271ba5cffb5275ff0968533fb296ec767a1bfc41bf6e1eff6d8b1c7e0f

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 0e259458508849928d54c91df6be0a24bc93590ddd3ad26fdb02fb1b644fbb9e
MD5 92e833f38916a6f2f58ec35bb770ca4e
BLAKE2b-256 435ee03c42a7850feb7f87a9dfcf293abc2264bd85952725100d97d436c03255

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3d371adb5e6d93e75809d2ab7d46868f4a9f4a0268e497a725195352abaf613a
MD5 67cb0902ba0638b10317a117bcb5a9c1
BLAKE2b-256 32ec6be2a91569e6d0bab7bae441b099a7b2e6ea72fb2d1c65586b2a674645c8

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp314-cp314-macosx_11_0_arm64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: efel-5.7.30-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 408.3 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for efel-5.7.30-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 d4573377a08c1d5ce5944cebeeb175685a2c6ed34f9f82e0456383f2eba69349
MD5 b4847b66b5b94f1e47ddc36ba85a2841
BLAKE2b-256 ca0dfe943096eb5c8855a0d8a839de0d9fc6fd74c7a81a3549aa383cacc25685

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp313-cp313-win_amd64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 660d1bdefce7d66ff720eeadb068b9d117859bc3b1d5209deebdc58c8eea2e2a
MD5 4de1852ab986d40e42eb0dfc54442861
BLAKE2b-256 6a7a67c9367c2599fb24ec2b633c60bcdf3495ad1c6a55fd914d4a758340153a

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 83ee6cae467e4b564c87f15a3370599a041e59bd158887b94049aabee4d079e5
MD5 0aefefc40ffd57e048a5bff2eb3b7dee
BLAKE2b-256 ba8a0c6bd757823ee7ca08ebe84707fb5e059a211cef6eec5b53f95ebec714ef

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 03d3b05e78a1b9d46e2e4299e81b894b1fb2aa0c29a038e2c01f1c467443d187
MD5 4f9e0dbe5b26070d8d248623c12dc123
BLAKE2b-256 2ce26a3a20d0032cccd0d7df583807c847bd810f6c4886b573054f5063583ae5

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp313-cp313-macosx_11_0_arm64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: efel-5.7.30-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 408.3 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for efel-5.7.30-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 e678f8d4fc086f39d8b3b0cf74d9b548dae378396017c6f85b5047901f9c036b
MD5 a360b1f1dfdeb2e09667d9d6b0ec8525
BLAKE2b-256 54b24e8ecaf710b835993348eddcaf22854b2f99e8742dacc0d318e023dc6b80

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp312-cp312-win_amd64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 34a791711a0adfe6164374d1ce885eaee74fa7610ee3e79762185b87970de58c
MD5 0e6978bb459df1531345f6169ddc1348
BLAKE2b-256 e6b0d130c707e8cecc7d7b0089c4dbba4bc7f1568904751aefca8d581fd2dabd

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 61296532e60cf0d2975b6c3cd329dcae40d0ad20b82786638d0106dc0c8c5873
MD5 be473a8bee91779ceee2203ac99f81bd
BLAKE2b-256 45c4c881918d4ff85ae87bade52b4c07490376052cbb1a9e9c75993ef7841d5f

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 11308ee5f98cb8a9b6cb3eff7bad5d389f3e36c669888e602ae9332b63087567
MD5 b7713b3ca0c3d5c47fcf717f64c468f0
BLAKE2b-256 bb0e9822ce00cc9362036133bb02d4342a006b433b68909dacdec527331b1f60

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp312-cp312-macosx_11_0_arm64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-5.7.30-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 408.3 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for efel-5.7.30-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 dffc8d0dbb65faa68edc3d1302917eaac499e44d7827119e65c1e33aed8bff12
MD5 7924a4625c5a456e63b4c9802c8de1ca
BLAKE2b-256 8508ca662eb6a898ac88b6c7425a10569acbf4e6162025022d782f650ba9857c

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp311-cp311-win_amd64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 9a7b8c98cbddc60f970f934bbdefee48ab10644be9da4c5477d076764c0a2df3
MD5 e46e42d7d47c5424c5365ab75247a06e
BLAKE2b-256 14fd1a01d220537a0a1060dee41fce48f354691fe440d81c56ca51806770aba3

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 3248e6829f7a148c1fd8216b164bab7108f7932f181e0554a63dcd0e6a37f3f2
MD5 c80b231c0b9b62cd6ee9d37d92901bf6
BLAKE2b-256 15e06af0804f1c5f699bcb66987dea4c5a4df3bcfb74f02cb870c2582cdd0cf5

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2eb72c46e2af5022f0f6ee5e65b738cb846df936961b8f910d4d18f58cf2848b
MD5 91fcfc1cb6fb0278511e2d33095a1985
BLAKE2b-256 0512e574c02b5d139ca2ea135dcb00b30eab4a4a4a5cb260870e0f5eee0d079a

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp311-cp311-macosx_11_0_arm64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-5.7.30-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 408.3 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for efel-5.7.30-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 73cc900f840d40259c53a1f184dd958d280ab8e068bf41d20e03244f3e537a1b
MD5 194c296474012ced6bef5ae21a9423cf
BLAKE2b-256 835d3156b1242116af368ca5b8fc1a82053ed2da2c2b002f26955581c56fc6f4

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp310-cp310-win_amd64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 587e8a05c3c8626c6051d5dcdf5edef38153ef985d66ea1468e4469dec12bcd8
MD5 1823513dc787488f46f4caf79d95d810
BLAKE2b-256 b8be863f3494f856ecd2c5618b0dc6644b9e017551249543cbc6105b7975e370

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 07ab28975d1097ff1ea723d934481a1b4b6ebe45a67cc37681f797534ddac757
MD5 1c6a59b8aff52c90d12f4e0436ee6af5
BLAKE2b-256 4c16e053065116b67b05446ea29450d253941cd5c82a57a8c0b40ca50ec10c4d

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file efel-5.7.30-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for efel-5.7.30-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ff9fad2b70008aa43cc643ef72fa052be92b084c5a5abe5b84bc9b0a27cf9f9c
MD5 d76ff681b5bc4333e8c251d5789d65f1
BLAKE2b-256 85819d97b60d8db6e448e51ed3720c8c6ed3bb7b0724b384a6b6b4d0eb9353fc

See more details on using hashes here.

Provenance

The following attestation bundles were made for efel-5.7.30-cp310-cp310-macosx_11_0_arm64.whl:

Publisher: publish.yml on openbraininstitute/eFEL

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

5.7.30

5.7.29

5.7.28

5.7.27

5.7.26

5.7.25

5.7.24

5.7.23

5.7.22

5.7.21

5.7.20

5.7.19

5.7.18

5.7.17

5.7.16

5.7.15

5.7.14

5.7.13

5.7.12

5.7.11

5.7.10

5.7.9

5.7.8

5.7.7

5.7.6

5.7.5

5.7.4

5.7.3

5.7.2

5.7.1

5.7.0

5.6.29

5.6.28

5.6.27

5.6.26

5.6.25

5.6.24

5.6.23

5.6.22

5.6.21

5.6.20

5.6.19

5.6.18

5.6.17

5.6.16

5.6.15

5.6.14

5.6.13

5.6.12

5.6.11

5.6.10

5.6.9

5.6.8

5.6.7

5.6.6

5.6.5

5.6.4

5.6.3

5.6.2

5.6.1

5.5.7

5.5.6

5.5.5

5.5.4

5.5.3

5.5.2

5.5.1

5.5.0

5.4.1

5.4.0

5.3.10

5.3.9

5.3.8

5.3.7

5.3.5

5.3.4

5.3.3

5.3.2

5.3.1

5.3.0

5.2.10

5.2.9

5.2.8

5.2.7

5.2.5

5.2.4

5.2.1

5.2.0

5.1.6

5.1.5

5.1.4

5.1.3

5.1.2

5.1.1

5.1.0

5.0.7

5.0.6

5.0.5

5.0.4

5.0.1

4.3.6

4.3.5

4.3.4

4.3.0

4.2.12

4.2.10

4.2.7

4.2.5

4.2

4.1.98

4.1.95

4.1.93

4.1.91

4.1.86

4.1.84

4.1.81

4.1.78

4.1.76

4.1.73

4.1.63

4.1.61

4.1.58

4.1.56

4.1.54

4.1.49

4.1.47

4.1.40

4.1.31

4.1.23

4.1.19

4.1.14

4.1.1

4.0.50

4.0.47

4.0.44

4.0.42

4.0.40

4.0.34

4.0.32

4.0.30

4.0.26

4.0.4

3.2.4

3.2.1

3.1.100

3.1.98

3.1.96

3.1.92

3.1.90

3.1.88

3.1.82

3.1.77

3.1.75

3.1.72

3.1.70

3.1.63

3.1.60

3.1.58

3.1.56

3.1.54

3.1.52

3.1.50

3.1.46

3.1.44

3.1.42

3.1.40

3.1.39

3.1.37

3.1.10

3.0.113

3.0.103

3.0.99

3.0.93

3.0.87

3.0.84

3.0.82

3.0.80

3.0.73

3.0.72

3.0.70

3.0.68

3.0.66

3.0.62

3.0.60

3.0.58

3.0.56

3.0.43

3.0.39

3.0.36

3.0.34

3.0.31

3.0.30

3.0.22

3.0.19

3.0.16

3.0.12

3.0.7

3.0.5

3.0.3

2.13.13

2.13.6

2.13.3

2.13.1

2.12.11

2.12.9

2.12.6

2.12.4

2.11.52

2.11.50

2.11.47

2.11.45

2.11.41

2.11.35

2.11.33

2.11.31

2.11.28

2.11.26

2.11.14

2.11.12

2.11.10

2.11.9

2.11.7

2.11.5

2.11.3

2.11.1

2.10.150

2.10.147

2.10.146

2.10.144

2.10.135

2.10.134

2.10.132

2.10.130

2.10.129

2.10.127

2.10.124

2.10.121

2.10.120

2.10.118

2.10.116

2.10.115

2.10.114

2.10.112

2.10.111

2.10.109

2.10.107

2.10.105

2.10.102

2.10.99

2.10.97

2.10.95

2.10.93

2.10.86

2.10.85

2.10.83

2.10.80

2.10.78

2.10.76

2.10.74

2.10.72

2.10.66

2.10.65

2.10.63

2.10.61

2.10.60

2.10.59

2.10.57

2.10.53

2.10.51

2.10.49

2.10.47

2.10.45

2.10.43

2.10.41

2.10.39

2.10.38

2.10.36

2.10.34

2.10.33

2.10.32

2.10.31

2.10.30

2.10.29

2.10.28

2.10.25

2.10.21

2.10.20

2.10.18

2.10.15

2.10.13

2.10.11

2.10.9

2.10.7

2.10.6

2.10.5

2.10.4

2.10.3

2.10.1

2.9.22

2.9.19

2.9.17

2.9.15

2.9.14

2.9.13

2.9.12

2.9.11

2.9.10

2.9.4

2.9.3

2.9.2

2.9.1

2.8.8

2.8.2

2.8.1

2.8

2.7.10

2.7.9

2.7.8

2.7.7

2.7.5

2.7.4

2.7.post0.dev15 pre-release

2.7.post0.dev13 pre-release

2.7.post0.dev12 pre-release

2.6.40

2.6.38

2.6.37

2.6.36

2.6.35

2.6.34

2.6.32

2.6.31

2.6.30

2.6.29

2.6.26

2.6.25

2.6.24

2.6.23

2.6.22

2.6.21

2.6.20

2.6.19

2.6.18

2.6.17

2.6.14

2.6.13

2.6.12

2.6.11

2.6.10

2.6.9

2.6.7

2.6.3

2.6.1

2.4.28

2.4.27

2.4.24

2.4.22

2.4.21

2.4.18

2.4.13

2.4.12

2.4.11

2.4.9

2.4.8

2.4.2

2.4.1

2.3.90

2.3.73

2.3.71

2.3.70

2.3.68

2.3.67

2.3.66

2.3.64

2.3.63

2.3.62

2.3.60

2.3.59

2.3.57

2.3.49

2.3.48

2.3.47

2.3.46

2.3.44

2.3.37

2.3.36

2.3.35

2.3.34

2.3.33

2.3.32

2.3.31

2.3.29

2.3.28

2.3.27

2.3.26

2.3.25

2.3.24

2.3.23

2.3.22

2.3.21

2.3.20

2.3.19

2.3.18

2.3.17

2.3.16

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page