Skip to main content

Electrophys Feature Extract Library (eFEL)

Project description

The Electrophys Feature Extract 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.

Project details


Release history Release notifications | RSS feed

This version

4.2

Download files

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

Source Distribution

efel-4.2.tar.gz (113.6 kB view details)

Uploaded Source

Built Distributions

efel-4.2-cp311-cp311-win_amd64.whl (207.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

efel-4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

efel-4.2-cp311-cp311-macosx_10_9_x86_64.whl (265.8 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

efel-4.2-cp310-cp310-win_amd64.whl (207.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

efel-4.2-cp310-cp310-macosx_10_9_x86_64.whl (265.8 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-4.2-cp39-cp39-win_amd64.whl (207.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

efel-4.2-cp39-cp39-macosx_10_9_x86_64.whl (265.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-4.2-cp38-cp38-win_amd64.whl (207.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

efel-4.2-cp38-cp38-macosx_10_9_x86_64.whl (265.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

efel-4.2-cp37-cp37m-win_amd64.whl (207.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

efel-4.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

efel-4.2-cp37-cp37m-macosx_10_9_x86_64.whl (265.8 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file efel-4.2.tar.gz.

File metadata

  • Download URL: efel-4.2.tar.gz
  • Upload date:
  • Size: 113.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.2.tar.gz
Algorithm Hash digest
SHA256 a58bc62fb468f36480ccf6df8b70dfa2830cda760d7593a5d5d967192a1a60ef
MD5 30295213c9a23d40b58fd6900893b202
BLAKE2b-256 f0e285ff3ed21021b8d5fd82ad543d36b416282abb542cc77687e02d1b161672

See more details on using hashes here.

File details

Details for the file efel-4.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-4.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 207.9 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4bcbf9b6f32ef899227b049dd8716ce0958e4ab4799cca2493a11a412f799655
MD5 a0a7c7292d445692cbfd2e6d4674352b
BLAKE2b-256 34e80eeff190edf17f7655a66da0178c34a1cc563a82920f05075a96ed38c78f

See more details on using hashes here.

File details

Details for the file efel-4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 41a02f96a68f7f89a261a209aede654a8fc69329feaba5d39ffed921ccd10724
MD5 82ebda8d7410e101afcaa3721dabb415
BLAKE2b-256 6fddbf28535642d6d2961cd6ad8440dd28eeec8b8f572a231c18f0a3a119c37b

See more details on using hashes here.

File details

Details for the file efel-4.2-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 72f049e6507c02103a64883015218459fbf84374bf83f6cd4ecfb05be6bf5440
MD5 1aca3351bf26a92eca176545d1b9000c
BLAKE2b-256 4cd28d8a149d6ec37559d76478c9589c464bd7420f0f840b95978aca47b256ce

See more details on using hashes here.

File details

Details for the file efel-4.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-4.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 207.9 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 1713eca95661cd18ae1098838c7f64bd5cf0ca8e39099d5c5de1549a31cab3f6
MD5 589795ef0c1c473a9a500048c8bf3f89
BLAKE2b-256 9b84ca631a52e94a4f7cdab681cf963201de104fa08984684742d47324f2aa1e

See more details on using hashes here.

File details

Details for the file efel-4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d395746b003d7571d8040b9bac694805db4a268d16945f50096b72c33a5316af
MD5 15a8f15b5fc921a8bbd86b13c0e90080
BLAKE2b-256 52622018ed264ecf3c8cb2a14825e5dca8186313bca6711cd7adce8b2803bb52

See more details on using hashes here.

File details

Details for the file efel-4.2-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e8bba2f41b8bda7ba4c93e7059937600a80349b62f900e595cec8bd8ad8c58ba
MD5 feb0fca247dee3ef0795309e7d23be7d
BLAKE2b-256 10b03781761f55c7c5373139371b83643bfa8b9802f94741b074999b67f018f6

See more details on using hashes here.

File details

Details for the file efel-4.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-4.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 207.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 062e99fb122bc5738f3bbe8ea78d4f1fb898162e0e7411a6bf9fab8c42c9685a
MD5 2672834a5cfb135eb0b1d8266c289c8a
BLAKE2b-256 372fa1e2faf138063c0647310caa801c590cc48d01a5a958a571ef3a0ce8dff7

See more details on using hashes here.

File details

Details for the file efel-4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6caf0c51b48f865c5e304252d4027a703d6108b752ed3134704a84a050446b4f
MD5 14ad53a64e83dfcca11e6d77b2d136d0
BLAKE2b-256 351cf4f759a5c4dd840c2c3aa21ccc22bd9d9452a47770279c6d3aa07d46219c

See more details on using hashes here.

File details

Details for the file efel-4.2-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 948082e17db728df8cf7f0ca306528ed0bc6b7194bb0acc1aec2259f55236f47
MD5 9035c2c12a3e489ac2ab07844f44eab6
BLAKE2b-256 53e78fe43519de14da138a418af0efff80d50c09ef8795d3725a711a837ddaae

See more details on using hashes here.

File details

Details for the file efel-4.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-4.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 207.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 91cef4274fcdc54ecef499d08dd2ca6078721cb97ae0bb2cf6ace7e52e11fad6
MD5 c687151c92b454a6d5f1ac7ea2414991
BLAKE2b-256 50640130b7f38e623d578731282954badaf06a2a5d2fcdbfce59f794f33560df

See more details on using hashes here.

File details

Details for the file efel-4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 754b5707cd037cf2b1efaa91daabd52cd9cf50b98f1e96239d25a13d2eb7bab1
MD5 5927dd6ca4aa9368b05e81b31e014613
BLAKE2b-256 4da81b8648b6226d56fc62f7f8b6a94c339bf6cc88dba05ab8869891d032508c

See more details on using hashes here.

File details

Details for the file efel-4.2-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 94cccf534128f9f92704bd44e0eebb81dadbaf24c462bac3e96a2092e2409787
MD5 580463108265011822a671b5eaa6fbc0
BLAKE2b-256 f69e8c0c8246b6c1f8497377072d8bc9bc810a48be6da1e0a75b20469ed80edb

See more details on using hashes here.

File details

Details for the file efel-4.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: efel-4.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 207.8 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7570dd31373312d8d45dd6a59a5cd30c676a431a95f1d1031883d334df67dbc4
MD5 2282f17253d4828d7c75bbab2f2ce25c
BLAKE2b-256 6f869d56bacb1fa2cada391a2785f2312e25b9b7406905a25e2eba0659b611df

See more details on using hashes here.

File details

Details for the file efel-4.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1b1eac400af7c4d4104df12de591b3be58f6560ac476f66cf7fc708ca9cab860
MD5 f7899c55e3080148b913ba12adf6a26c
BLAKE2b-256 94fea2aed350e650289dc6da229ca0bd58af3b78b00992326f6e84138891ecf6

See more details on using hashes here.

File details

Details for the file efel-4.2-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 96ed738527a0386948d9d52cc097c0472040dd1334c40bd8ef40f636e6db22e8
MD5 0ee910ac24951af26b325a69e21563f6
BLAKE2b-256 7c0603a281b1cc3d8e58274ceee59ba63a75951bf10357990e97972fb472f4f9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page