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-4.3.5.tar.gz (114.0 kB view details)

Uploaded Source

Built Distributions

efel-4.3.5-cp311-cp311-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

efel-4.3.5-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-4.3.5-cp311-cp311-macosx_10_9_x86_64.whl (265.9 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

efel-4.3.5-cp310-cp310-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-4.3.5-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-4.3.5-cp310-cp310-macosx_10_9_x86_64.whl (265.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-4.3.5-cp39-cp39-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-4.3.5-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-4.3.5-cp39-cp39-macosx_10_9_x86_64.whl (265.8 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-4.3.5-cp38-cp38-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-4.3.5-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-4.3.5-cp38-cp38-macosx_10_9_x86_64.whl (265.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

efel-4.3.5-cp37-cp37m-win_amd64.whl (207.9 kB view details)

Uploaded CPython 3.7m Windows x86-64

efel-4.3.5-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-4.3.5-cp37-cp37m-macosx_10_9_x86_64.whl (265.9 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file efel-4.3.5.tar.gz.

File metadata

  • Download URL: efel-4.3.5.tar.gz
  • Upload date:
  • Size: 114.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for efel-4.3.5.tar.gz
Algorithm Hash digest
SHA256 a1e105933b20869873d0c8385d52f3553b02f5df52a0c9508fe2f15a15393c3d
MD5 4675514b6d452f918d81662676b1ee78
BLAKE2b-256 4a235d4d25c8515eb8e934a1b26f86fb0e3315fe2bd07e5a2e9f9e881d29b59c

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-4.3.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 208.0 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for efel-4.3.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 93c1997424b4baac95ba58e7a3d9d5b62b50941c0606a5d535a5e1badf076e62
MD5 f4b05dd872309dc75fc91c90632d3cb7
BLAKE2b-256 906e4814a1efeef67bff018dee2f5c4efdf0e75356fa54c68a54e98d66bf962f

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 34466aaca05cc189ac6113cb63baeb4cb89287c2c1deba7bcf0adfc8721135e4
MD5 908de04d8ca45748372484fe40c95dcb
BLAKE2b-256 165a251de5547eb2f0c54d6934e80ccf2a77e8e64035feeead5835d33ce8b514

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1e9b42abc797c8ddf26a2f858d943aecf0a77232caa769456dde34c2f97f5417
MD5 aeb2450530cf1e71e57ddc3ec12412a8
BLAKE2b-256 c9a4a0152acc0b6e6802c5225397be63217f06a6cb09b0ebe15e8a8da494664b

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-4.3.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 208.0 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for efel-4.3.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bb80b119338ab861199ad48c56c28dfd7308f7f70f21e09856494856a7bc3393
MD5 e0de4aec4cf398695cb9e61e20268c88
BLAKE2b-256 967038a67f84e37b1a1efc913bbe18ef45a5fe396c2ed1863b9cf2217a6ee70a

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 495206b1a6d14a9978c56661e5ad3893976cfa992381145ad58a00296f383d7f
MD5 31dc6eec641e7d443f933164845e1999
BLAKE2b-256 aee7161f379e1f277e8535b85cc688c7e8eedabcc0612fcff0591516fbe22571

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 82cc095f78e0bf59fc78486a3ee1ebc44a605ca81ef229840dcabe417f863e7c
MD5 ff94d6c8a98b0c87979a1838fd696a0e
BLAKE2b-256 e2f0693938c7a57c38b93ca9e5ec95bfc8d99c439d6e8deeea07f92f906e24b9

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-4.3.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 208.0 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for efel-4.3.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 883f376e96a6a07b2a5535cc7f2aad81d177abb5edf571850d23fae92bcd0603
MD5 1be2a45210d499fcc74070f980a2e6d6
BLAKE2b-256 14582d8bc72f2f9f0dfd72069bb06b399213566b84c1057436a54f05efba6984

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 da94e159fa7c10e4e65dd42ba3d756dbc11a722f1b4eacc5cedcaaf052d43e44
MD5 e77975f846e4609ab071acaf1e71fc7b
BLAKE2b-256 a1fd86ea9c71b773eda0c195532e9b39aa14befdc952d8e1a7ecf29c2458b3a3

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0d2b9983fa8ce26f3898dfc9f170dae0b610d7a207a5c5346fa76367ffdf6933
MD5 28004a14d303acea3f7bd02895e13d36
BLAKE2b-256 cc2e9d773708702f99cd5ad9e425bfc94877e534a1cd850acd80365a54400332

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-4.3.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 208.0 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for efel-4.3.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 e4a70dd6d1e99261a4b78fed4f649b8ff6d3df7b4ecefa486ef1bb80c82d8180
MD5 6899c9ea6754e6a523002080cc7073ef
BLAKE2b-256 48299394dfc44aabef77dab887a3101f8ae5bff73149dc1a7f3db0f0455bcf26

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 add467ddbc3b062cf8fcbb74819753dbff8f7adfa799d7aeebc27eb4ccad6242
MD5 e44ec75909c17fe1a54040a8a26008f2
BLAKE2b-256 937d1379739a847e7a50553c196e0b2665cbe4c18d5bd429df0f0d29872f49ab

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2054808f8ca8a0d05d3b4e0f71260b4059df4530efe542333be6ae5cea8260f4
MD5 4adab9dbd23fa3d04ed61a6d6a6095e2
BLAKE2b-256 9fe381421d4d904bbf5fba858b0671e119c6708f31838ac987f09ab01a8526a5

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: efel-4.3.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 207.9 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for efel-4.3.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c48775b6e62952de82f5eb4738c87673033cbe1b79a8f9ea0f2fc7368a27d7b6
MD5 ad2f8636f929001ac0aee768716139fe
BLAKE2b-256 03f42d2e22c012087b5b25efd9e1a3fd9559ee3d1a90d19129140ad0e79ae784

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 94adfa2ef793de076693af727e294e94c0402d9ebe3225f445c04ff0e7fac8fb
MD5 bafd08ea80429114974b8cc2aba07540
BLAKE2b-256 303de494b18c97a6873066ac4203c98d9e1a5bdc7cf4b0df3921c9243f5eb7b5

See more details on using hashes here.

File details

Details for the file efel-4.3.5-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.3.5-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 692369b2283d31cb1b172ba5d46aa5e77e5aa63940b49b06a516add75058a4df
MD5 5cac66b43d4ce21f76583d786d29b4dc
BLAKE2b-256 2963aade980c295e5f99f3a467cf5815959977ade095f21bf5bbeb16db57b504

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