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-5.1.6.tar.gz (111.3 kB view details)

Uploaded Source

Built Distributions

efel-5.1.6-cp311-cp311-win_amd64.whl (203.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

efel-5.1.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

efel-5.1.6-cp311-cp311-macosx_10_9_x86_64.whl (248.8 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

efel-5.1.6-cp310-cp310-win_amd64.whl (203.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-5.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

efel-5.1.6-cp310-cp310-macosx_10_9_x86_64.whl (248.8 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-5.1.6-cp39-cp39-win_amd64.whl (203.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-5.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

efel-5.1.6-cp39-cp39-macosx_10_9_x86_64.whl (248.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-5.1.6-cp38-cp38-win_amd64.whl (203.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-5.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

efel-5.1.6-cp38-cp38-macosx_10_9_x86_64.whl (248.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file efel-5.1.6.tar.gz.

File metadata

  • Download URL: efel-5.1.6.tar.gz
  • Upload date:
  • Size: 111.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for efel-5.1.6.tar.gz
Algorithm Hash digest
SHA256 8f1084db6836fc4ef835d1db39dfcfa479cba4090580004185bb0fb7d441d078
MD5 1469583119239e3416be7537161bc7be
BLAKE2b-256 60cc74e451a8dee54a5cabf9ab56aa7d5bc82883d14ebcd8fc1889f5e1228811

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-5.1.6-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 203.7 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-5.1.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 5279cf6ed31bea4000f5ecce2eb65ff2a61de61044391180f93bbe026ee4ec65
MD5 f51700efe75f42970f44a8d9fce6e660
BLAKE2b-256 f57fd77d67065f5888d77377bd6196de252aa6b1ac0a31dd8752e9fce097be67

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 20f9a971a0a71035f36218b5884635feb251d4cba8d246ed3a496469b138a7fe
MD5 5212061cc46c4ee73b13995fa107accd
BLAKE2b-256 fa56bb04f23c428e06ac3b568ff29620d85c3f721d45cb082244b224ecd3e41f

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 51909b7dd155d55966fd23f673a5408ea45b4b72f610ae5170785cefccac4d05
MD5 8c8f224186fdc866036985c74765b8e1
BLAKE2b-256 72e81b0ca1685b7e7142993fcfff38cc78e2a36156ff8163c4a550f1d6cfbc65

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-5.1.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 203.7 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-5.1.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 45c4fdf78584ed19ede7bd4ed76062c6870577e9bf52a7e918450ed7677d9fc7
MD5 9ae56b243f79eb61bfe2ec7b4db46760
BLAKE2b-256 2b4e1584497f6c935c5141e34703ccdc82c90e1b50ac36add0cba1a2f977321b

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 951ca2e6c02d081666971ebba190678d1cbb4cccb97717fe9f1dcc4547fa59b2
MD5 c4daa29d79b3214c7f622675e6f5db12
BLAKE2b-256 cea1aa26a0e5653ae52ef132de4f789500912331ebe34995a493991d64a950ee

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ce0099c1c01a02ca6aca0ef09388879cf13081effefbef633b38e371cceb9d3f
MD5 d125084f58e0ebcec304572ce33f4a05
BLAKE2b-256 68199f0cbc3676338b487147977ecee2401de75c227412edfa08ae1658f629aa

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-5.1.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 203.7 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-5.1.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 98aae57006d00c4bab8e68632ef9003a366ceaf0efc979379cc928069dfd3ca9
MD5 959846c4c7b655827e2b081de372d7a9
BLAKE2b-256 ac0fc0337b28402d0e9d993008c25d4f50fa73470a4b48baa72c0301a6879fa4

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 74bf444a96e3907d75a3bb02905073d351730e6706432092878d2d822b657bd0
MD5 9e5e2186b6f42df2aa6ceb42d2298408
BLAKE2b-256 2604749a31c74e567140437914caedee986f7800e1b97f475f4e286aabd0326c

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bcec3b48405d6ee30ea30243e400824334f656e0248361eed1a089c069e0b4df
MD5 577ed3f5dd820437bac6b56ec28057f5
BLAKE2b-256 213fb6c66ea59f3995364fb0a07d7f2abeb7bc17b21fc451ba885373e9de42ec

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-5.1.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 203.7 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-5.1.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1fa1131fa710fca4d80b5bd65cc4cf6aba78c0c0ef0237e1948512c488e03f2a
MD5 8780c35ec3236f62497609dd463e77a6
BLAKE2b-256 2b7db4edf136291bdf786eae6c63141b73664108f91888f5a0b6db3067c30290

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4f57ed43d1cca14768e5cf68389ac0113a0e6bfb5763af6b5b937e3999af1fea
MD5 bfb11ab360daba73bcc49e20b05cc02e
BLAKE2b-256 79bf732b21293030771c02d771e07c5f3d1e2e33b0a537d80ce67ea1ee80c497

See more details on using hashes here.

File details

Details for the file efel-5.1.6-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.1.6-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 db07fe37fcf092b0df547c94096aeca5818853f39930b3ba21ed05379ad824ce
MD5 6a7c207370deae7901d9ba8af64598e9
BLAKE2b-256 6b80d1763b642e46167062deca003eee567efe9547bbe4089a1f55ad30c8b58b

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