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-5.0.5.tar.gz (117.2 kB view details)

Uploaded Source

Built Distributions

efel-5.0.5-cp311-cp311-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.11 Windows x86-64

efel-5.0.5-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-5.0.5-cp311-cp311-macosx_10_9_x86_64.whl (265.9 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

efel-5.0.5-cp310-cp310-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-5.0.5-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-5.0.5-cp310-cp310-macosx_10_9_x86_64.whl (265.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-5.0.5-cp39-cp39-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-5.0.5-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-5.0.5-cp39-cp39-macosx_10_9_x86_64.whl (265.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-5.0.5-cp38-cp38-win_amd64.whl (208.0 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-5.0.5-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-5.0.5-cp38-cp38-macosx_10_9_x86_64.whl (265.9 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file efel-5.0.5.tar.gz.

File metadata

  • Download URL: efel-5.0.5.tar.gz
  • Upload date:
  • Size: 117.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for efel-5.0.5.tar.gz
Algorithm Hash digest
SHA256 46c40ff39ce8d8e93cdc7fb20fa9d061fbddf4f9e8c9579849adf0d2d9818c0c
MD5 38e40565c17078a5c467e6fb1d8af70d
BLAKE2b-256 e0be3ee25367e70249a34bbb043b06a84db746eb5e78d3cb5dcdbef57656ef0f

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-5.0.5-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/3.11.5

File hashes

Hashes for efel-5.0.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7020fb5c02c6d161382047211d44603e4a26c987163c086d2ed7c64881535336
MD5 63f14a417d5e49eb5012e66276ccaf59
BLAKE2b-256 17bb0fd021ee73c8596ccb33016b9edc5fa9437cf185b00097da2869013ad132

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0cd3ed2134876d787d57e8d7a643225e901a513166b1527788142418dcf72e71
MD5 d5364c2ff1017202f471850677a00fea
BLAKE2b-256 026023d0cbb10228a6b4495720ad56a6db59fc4922deaa83b4fc626a4b4b6a0a

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8dadc6eb93a3e0c5d6f03c8f50f40c60a8c46bb43cddd1d0223ba8952ee8b310
MD5 c7dbea137bd38eef65821434e5f06a46
BLAKE2b-256 d50b683c903fc31de0b0d500f472c3a8bc3ffa0c6416742e26380df90b9c60db

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-5.0.5-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/3.11.5

File hashes

Hashes for efel-5.0.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3fed8cb7d551e160793c60868ef0bf2d58aa7c0a59fb3192ef9283d52aacecf6
MD5 fc1f49ce95cf1081e2a007fecd5df985
BLAKE2b-256 c08070d865bfc8c2abe3df3340b6f4d50930a6c9d7f5dc11574d5c1333909ac0

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 616adbc69615a6e2e71ed6700433855ac98ebee1d4c64db0aec6c03655c2777c
MD5 860fd1561aee2b5e5bd4dd2b9d11db55
BLAKE2b-256 567fdb73388c6eef69a710cca25a1824f6efac3d639558e380ffd284fd260c8a

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 27c45573f61a09f3174ffd7d49a24b4b59cfaf2c4a404618cc2cfe8265d02f10
MD5 ab6a1fc83673b24648a7eb6900a63361
BLAKE2b-256 c72962cc6ddd834a2cbae26c8ee9291488000dbfeb5eaa6b5ba3ff24243218e1

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-5.0.5-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/3.11.5

File hashes

Hashes for efel-5.0.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d415ac9a273cbf487cd916998d4e33d0c292ac598e1ecf6f05d614fc887d4752
MD5 f2d15b820f8f7d3a5983b7baf58ca986
BLAKE2b-256 47f62ccc4db915e1206cbf56686ea3445e31e1f4f9441c4f7b3201314aea509f

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a187d4cc5995e20cd5aa9f53af21da30b112afc99fe51d57db5c0b5bffaf9a90
MD5 ab458873cb72e27641496201d43b40e0
BLAKE2b-256 c0cf0866a05e0418ebf911a51fc5b26e33fb23b23da3855461de3d4a019d00ad

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 16b2557c3651be470f4effce69797d1573828e583d29a357e104ee866ff544f4
MD5 beebf7ef473d96f2517af5bbfc02a939
BLAKE2b-256 225b902f1d70c4b6a90fcfcdeee583444a1e913d405aaddaa395f194f4e01881

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-5.0.5-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/3.11.5

File hashes

Hashes for efel-5.0.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 da66ee2bd2e59dc77060909956d541b0fa85e58fcf6f4984a58a57caa2241316
MD5 b0f5bf2b71f0dfe4bc21737c46ee7a82
BLAKE2b-256 8cf7b58e23958a62b9e44283d87ce8d58983b37a2a511ce677152a8feda71850

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5961409674de569d58f9079e9cddb14c7bac34d143d11a748ec3ee6f5b029f87
MD5 2f61f2a552ef588a96b19d15807611f5
BLAKE2b-256 a8eb6c12780bee0a2c2d0d4eba8ea3f05d24be534d97468b9ffb51de6319ba4b

See more details on using hashes here.

Provenance

File details

Details for the file efel-5.0.5-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-5.0.5-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fe6ff78f5b742a4cf9a88eb390e0c966fda49fff6effe82af3a6552661b18ac0
MD5 ffae38bbcf0a527b397f5974b513c753
BLAKE2b-256 b4f31b57300de5bd0b93ec9fb8d042bfb95a0ff361140ed0f931539ea6498a34

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