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-4.1.56.tar.gz (111.2 kB view details)

Uploaded Source

Built Distributions

efel-4.1.56-cp310-cp310-win_amd64.whl (202.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-4.1.56-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-4.1.56-cp310-cp310-macosx_10_9_x86_64.whl (260.0 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-4.1.56-cp39-cp39-win_amd64.whl (202.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-4.1.56-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-4.1.56-cp39-cp39-macosx_10_9_x86_64.whl (260.0 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-4.1.56-cp38-cp38-win_amd64.whl (202.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-4.1.56-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-4.1.56-cp38-cp38-macosx_10_9_x86_64.whl (260.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

efel-4.1.56-cp37-cp37m-win_amd64.whl (201.8 kB view details)

Uploaded CPython 3.7m Windows x86-64

efel-4.1.56-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-4.1.56-cp37-cp37m-macosx_10_9_x86_64.whl (260.0 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file efel-4.1.56.tar.gz.

File metadata

  • Download URL: efel-4.1.56.tar.gz
  • Upload date:
  • Size: 111.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.1.56.tar.gz
Algorithm Hash digest
SHA256 556cbb4656b52d3a8f1f8913e0964574367e538a357d718c1f1f73f3a08135f9
MD5 ff5c3a0120751ddb5d40ce1cca31fd68
BLAKE2b-256 9467225bcd458b9971461be30ffee858a0b0d22a8716b7a9893e8a885245ce1c

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.56-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 202.0 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-4.1.56-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 5f729263b4d9440cb3d4f3d0217cb39653d33de2513499899695c0f5573af059
MD5 567130a2baec84cd34cc0c8064e6ee33
BLAKE2b-256 f5298bc62316085a6daaa755da13f00e0996f767edef831449451eb14b79a9d4

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3400d625e583c5a0c1bbcfeb5429f924a6399239afe803cc3eb286dc5578f6e7
MD5 bc3e0c20b2691a3353ffd27ee2d1fd53
BLAKE2b-256 26923d06c29188681b5022061b7afe79de08e02319c77448ab5e6741e4513a58

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8ca5867af34ec212f4545ba08193aeee05da9827ed481856469770a3dc16a94d
MD5 9c4b8f1c495c64a0fc4b4daa4509668f
BLAKE2b-256 d935df4153bf6e2407eb23ba1e9f514012fe750ededa593955d3a559d5c34f8b

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.56-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 202.0 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-4.1.56-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4632c2ffd40bfa4cf322b24c67368c7d6a6f62562b3bc76fcfaf28da5fae4bad
MD5 6a56979f25df7b3e880688098f7e11ef
BLAKE2b-256 1664ed52b8d708c4daedd3edbacd9e4ae411e9cc4faed4fa34b9cd555041834a

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d7ce3e7481363e32106652abac33e3dba70374f870ea4d96c9aa30ed2593c460
MD5 94e8783a0ef0ef46724e87034e3a4f2f
BLAKE2b-256 d6c762c6f096b834a7eb568058476dd42585e909ad7aeae077c3614a41b42393

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 584ed59140b36ed7ff93521b0b254a583210240e10b93f5b813550e3c05a0003
MD5 f64eae0ce45445b26e3e13285b4fa088
BLAKE2b-256 cc84e1995c0b58aa25334623682daeab2a8fb2b0ac24ede5582180bd4ab2714f

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.56-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 202.0 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-4.1.56-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5ef3100bc90ad85407273e6fc3e9cb519cee8339fa66db4a7be78aeb2aa8e3bd
MD5 ff6f3f440f09cbfb2109d13c930e9912
BLAKE2b-256 26058b0b4a6d1a9286475032b256ebee24bc65bfe06cd6c4cc7885cf3e3ca2f2

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d515ad2c012367acd22ec1e6a32d8b6cbf1f517b343cf52405217199cae29b16
MD5 927f26135ed2421b955d1e7a9a338b98
BLAKE2b-256 17de35d29b2ddcefc95eca850fa9e72c38d9419d100b88dd813d036fd4add38d

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b30addee1c24f70ce6e1fefdaca5c9c0f7fe65778f5dd76b87efb1bc5f2957de
MD5 4646fb3eaa13be6cee432796502e98ad
BLAKE2b-256 d122013ce40bb24336d47ae41df582d9ad385c920fdf7605ff5a25bfc8e5c8be

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.56-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 201.8 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-4.1.56-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 81c65d31311d07ec3c8a7b25d619a8e245f521a258d9d45f5e194d863db66815
MD5 8c71e1a77e83821273c3405bb08e768b
BLAKE2b-256 af6a5d05712eccb1789ba3f664540bb917c93f7d1e3bc6453aba66a211f4faf3

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0279f4771aa20fa5655daaf2a06be1e465b1c54f13c16070ada48149b20dafd6
MD5 da294dc455e9c94e8d715026b35f80a6
BLAKE2b-256 925f70e54a2bfa253b372ec1b5c63e04460cd83754369963422f03fa8bc497d6

See more details on using hashes here.

File details

Details for the file efel-4.1.56-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.56-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5ce8444c0fcb4acb3749cc999ebf9b08e06cd3214fe9809c34c2b86a5c6740b3
MD5 a5690c7fee2f84d6e89d525ea4153107
BLAKE2b-256 5ba830a1fffcc42bed5cb2acb226b25edcbd975bc278bae7f2194b322756c19f

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