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-4.1.81.tar.gz (111.9 kB view details)

Uploaded Source

Built Distributions

efel-4.1.81-cp311-cp311-win_amd64.whl (204.8 kB view details)

Uploaded CPython 3.11 Windows x86-64

efel-4.1.81-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-4.1.81-cp311-cp311-macosx_10_9_x86_64.whl (262.6 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

efel-4.1.81-cp310-cp310-win_amd64.whl (204.8 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-4.1.81-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-4.1.81-cp310-cp310-macosx_10_9_x86_64.whl (262.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-4.1.81-cp39-cp39-win_amd64.whl (204.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-4.1.81-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-4.1.81-cp39-cp39-macosx_10_9_x86_64.whl (262.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-4.1.81-cp38-cp38-win_amd64.whl (204.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-4.1.81-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-4.1.81-cp38-cp38-macosx_10_9_x86_64.whl (262.6 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

efel-4.1.81-cp37-cp37m-win_amd64.whl (204.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

efel-4.1.81-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-4.1.81-cp37-cp37m-macosx_10_9_x86_64.whl (262.6 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file efel-4.1.81.tar.gz.

File metadata

  • Download URL: efel-4.1.81.tar.gz
  • Upload date:
  • Size: 111.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.1.81.tar.gz
Algorithm Hash digest
SHA256 b414c9203895b5553f47117eb790dbed6f66afb59e281ba65ab4379b92776c12
MD5 54a3fe1af091d12e208d164a0f6e72a8
BLAKE2b-256 45540f8f3793249f1e47216b6ff505456902aa9485f4ec7f355f1828e27cc8cb

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.81-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 204.8 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-4.1.81-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8683c335709cb37cf376c68f5059c65803a5b49437a79b676196f82a01d2862b
MD5 7b19f540795185a0af4b7911a143d9d8
BLAKE2b-256 685395070b03e7010a18c893f50c8b944d3eaf5c0ff6f458797fccc1da8dba1b

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 31a9369a9eef28f0b6cad44628250899fc573d3d1fe2d92ff778681fa32b8a30
MD5 afdaa3ed155adb54d47b58f90eb16e02
BLAKE2b-256 cd85b803e27fc64dab5265691134d876cb1538c8ce8a1a315905b83666da9332

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bb228db6c2001e5c7135169b1cc5a1bf863d04f901656090e2f44569b4114cdc
MD5 dc3b56e5eeb81330c7becede4897efaa
BLAKE2b-256 1d43c3b6ef0f8dc6a02cc0b420f270f89825b2de46535d6387f565df10e2c29d

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.81-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 204.8 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-4.1.81-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a10081b060194c6b20400aa3caaa978f70e421904f4199951f28eb38a7dc3edf
MD5 a9cca28e7912480bf95fdb6fc4eef4fe
BLAKE2b-256 01ba0934ae1ebb3d03628f2c81c22dc04a7a638cae3e0bcd8c3496e278b5ebaf

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 76c7854564387f43afc5f6108472e582ad315fd2bc3792b10ac723c686e37e65
MD5 c538f53af4e62bcda95ef1dc113d2704
BLAKE2b-256 d634991547a85270e918efb68a745220cdfee6da521ba75639dcf26e54def934

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 91ad611729f2623a58696ebac1ba08c73a426bb0bb7503868ef925ee7b456aea
MD5 8068c4b16dd0f572811458d53ddf7813
BLAKE2b-256 076ae02aea4dc6a04b0f78b66ac5f033d462fa78f4018f5b9c6e599669f89f25

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.81-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 204.8 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-4.1.81-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 81b479d64654aec9fbef4dd2be69b6cbbb1145071293bef09a0be83cfb4996a4
MD5 4eced6172308ad735538ff872c6d878d
BLAKE2b-256 25d0220bdac5799cfaf2ecad629779e19cdfa29ead315ea03aeba3b3a5f05a1d

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 faacb7efc10540a251761d115a0e033e30bb0c2bf6e5b66ea22694e90346c2ee
MD5 79eff2b7e8c7f9a0d086121b731f7396
BLAKE2b-256 ed69110155407893f7b633d686fddfa1c4e853caf491f5abb26d97dfd944ed42

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 30e3e96194c4763232ebd234b7b0c4d69fc9d97ab927bb0979eb10b6f2b2fe6a
MD5 b2e0f2ca7a89223a9cefb7dbfe400976
BLAKE2b-256 2c386945c7e1774f2b63f9b17d3ef76ff11ce6e5fe04b9398f24537217a8fec9

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.81-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 204.8 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-4.1.81-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0a93940a8095d67756d44c62c454f1623df85d5e59d19767d41eb53e4bbb13af
MD5 8044a0024b754cddbe7c408722e4a777
BLAKE2b-256 4657c037d3f9bb04274238978def11b390848f258ccc45e5cb42db0ba847cb61

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7d4f0fda2930339429a3e979fb4f3019a70b838583c8bc31adc63e879535f958
MD5 5ef4be449322eab984fed4e90f39224d
BLAKE2b-256 bee2c8dedb5385e37b7ba0425ed080d5cc99eb071f378e03452c9169614b3409

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b3a7edce1f77448e6e9bc3ed03adab664d41d37b2f4fb589f7f68a4a39e31c44
MD5 584ae5c7fa977fc0ced6b1c766fbadc9
BLAKE2b-256 810ebd8be11ef52075bd3a0c16b92d17de8be2c7e9bcf873d0b9ee06eabd61ef

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.81-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 204.7 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-4.1.81-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3623ffbd8cbc353cdf8bfe36ec767b606bf77cd30f550111536d49693885ae02
MD5 bcb4b0c37a215100bf584cd69d4d45e0
BLAKE2b-256 1756fce52ad8021113a6c1185fb1b954fb6aad2aa390f9fd76aebcb2ab9c4e1b

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 39c421dae69123434d99ffbffacfeac5f8815091b38d193d31034caf6d41932d
MD5 d33baa0091db355975cbae87db9de150
BLAKE2b-256 282b833b69f78e983a8afa78bde5181a8cb400ac219e22260acf7f57e5ed19f9

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.81-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.81-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 29a0c4012a479df387108cabc29a81d0458140035622d0976dc796f219fddd38
MD5 4b845f1d2f7d8d651212c9855b12a97a
BLAKE2b-256 f807b8c662ccca269d5cb5b6303fdd269868d311049118b46cc83ab1170058d0

See more details on using hashes here.

Provenance

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