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

Download files

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

Source Distribution

efel-5.2.5.tar.gz (106.4 kB view details)

Uploaded Source

Built Distributions

efel-5.2.5-cp311-cp311-win_amd64.whl (189.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

efel-5.2.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

efel-5.2.5-cp311-cp311-macosx_10_9_x86_64.whl (227.6 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

efel-5.2.5-cp310-cp310-win_amd64.whl (189.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-5.2.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

efel-5.2.5-cp310-cp310-macosx_10_9_x86_64.whl (227.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-5.2.5-cp39-cp39-win_amd64.whl (189.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-5.2.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

efel-5.2.5-cp39-cp39-macosx_10_9_x86_64.whl (227.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-5.2.5-cp38-cp38-win_amd64.whl (189.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-5.2.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

efel-5.2.5-cp38-cp38-macosx_10_9_x86_64.whl (227.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file efel-5.2.5.tar.gz.

File metadata

  • Download URL: efel-5.2.5.tar.gz
  • Upload date:
  • Size: 106.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for efel-5.2.5.tar.gz
Algorithm Hash digest
SHA256 ad895a6c4f48af9ec44efd7ff36fc03d11d4fd4038063645ff88bd591aaa421a
MD5 bb8fca0f5e847c8f2237b0dfb8c7d157
BLAKE2b-256 2d897f80f5deaff0bf9e70e87f834eaff131344b1e4663a2a730dc599d860249

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-5.2.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 189.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for efel-5.2.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 80c8e395b98dfc47d2b21f495a314ca144032765d3f796076a8a7c5a1f6a070f
MD5 8e92572822e3c17d5e1b4a2c9295b18b
BLAKE2b-256 e838d53fa4ac52b31b9db38ce050fa92bc14d7cc300fce3fa1791f3cd0e8887a

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 280a3dfd12803b6ed71cb9ae1a2411b6c4e1abbbfa08bb89a39beb7bd371c1f6
MD5 be1e491de6e5876153b7d771bb9eef80
BLAKE2b-256 86bd6c2b3c6f8235870ed5b9fada91068a50e0b72b280aba2b14478eb18ea34c

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6a700af75ad04d5b1da4ebbc7921b6c51f6e6a67a9abb340e5ccdecc7987faa9
MD5 d706a5ed04dd3433afdba0e4013a6d2a
BLAKE2b-256 a644c36ac8c999484fa054391a8c1a42a92a86109f6ded4f99602b2ffe59ee80

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-5.2.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 189.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for efel-5.2.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f9a21166dc99952b19f8d6dc269e11e815c2add88d3e46f77d405e1e34b15eab
MD5 03f6f9f6f6021605577534d0f6591eee
BLAKE2b-256 b9354e46b5f96b3a04eebfae670673d97d6e82de075289b01026b25380842c92

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b424bfe499de3d3b28575c197a7421e0d336e2a354f99ad9527bdf2d140750c5
MD5 8a719a4a19121582ad7e0908cd8107bd
BLAKE2b-256 1deb02c5869eec11e8a524d00c7ec925c4a42df7b290860d9f2f90541d0d96c9

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7d33bc538c8b5f9dde8ce36b52a6207e79e8241d3a81eac5b92525680b638cb1
MD5 3f65554d8ab9b0957601332c435207d2
BLAKE2b-256 ed37b54ae2d8bf94cf3b86e541730f0ab5e23394edade8eafbf38c469b57c388

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-5.2.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 189.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for efel-5.2.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0fa066808f6326e56596569ccb4b6c522e016b42e0ae919c178faf712c5f4610
MD5 e79c735dfa5278ddb43ccac3c0177c70
BLAKE2b-256 7beec1591cd5589ec24946290188f5b2b4e9ad6808fef1a2d10142cc92db3cb5

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f9abbed10f182d9425bb2cb52d49e008ae7c62ed8b93af82bebcf12740cfdd66
MD5 1f35a61c7ff6640a0b59b7e634f934d7
BLAKE2b-256 7c9d8b4b4e2ce49213c9da200fd5f6684f8dffff31048d21ab0575f1480f3f50

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2f7ae3d27919e7f6384bc50e105336e029219c192714596b0bb7f92fe661039f
MD5 4c4abdf36981fb3cd6eacdd4112cb9bb
BLAKE2b-256 218ddcd2ec7ccdbf320d9134df85ca9ff7985b8d3ce61eaa9c1e02c7592da8d7

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-5.2.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 189.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for efel-5.2.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 45a802a856c4c0ab679cb114ada93d74f68e9cff7112b2e5b529a080a4150509
MD5 8d02b2dfd616c5552f43a34fa66c18e4
BLAKE2b-256 bc0e6493ccf49ce315908df29188ed87113368fa66bbf84a85cf2f032c80c9b5

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ff280deb5870ce8dd8c4d35dcbae72f2fa55a43e0cd8fd15d222bacc393b6d31
MD5 f7725b5a4536e70372c41c51642d41d1
BLAKE2b-256 aac69ba642d2a3ac5706afb92237d8255c8e112ab829af013bc3e19f9fe5866d

See more details on using hashes here.

File details

Details for the file efel-5.2.5-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.2.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 364cc81e135c213821d8fb8b58b7ec2ea4a62a280db585574e71638ffe0e280a
MD5 d9b33a47bfae2a0e7a6c7f68f886c69a
BLAKE2b-256 6a9b03072a0179d50a282fd7d0c01535fa18e51fbc4729b26d5a198a962ca244

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