Electrophys Feature Extract Library (eFEL)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for wvangeit from gravatar.com wvangeit

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Maintainer: Werner Van Geit
  • Tags feature, extraction, electrophysiology, BlueBrainProject
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for aurelienjaquier from gravatar.com aurelienjaquier Avatar for bbp.opensource from gravatar.com bbp.opensource Avatar for wvangeit from gravatar.com wvangeit

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (LGPLv3)
  • Author: BlueBrain Project, EPFL
  • Maintainer: Werner Van Geit
  • Tags feature, extraction, electrophysiology, BlueBrainProject
Classifiers

Release history Release notifications | RSS feed

5.7.12

5.7.11

5.7.10

5.7.9

5.7.8

5.7.7

5.7.6

5.7.5

5.7.4

5.7.3

5.7.2

5.7.1

5.7.0

5.6.29

5.6.28

5.6.27

5.6.26

5.6.25

5.6.24

5.6.23

5.6.22

5.6.21

5.6.20

5.6.19

5.6.18

5.6.17

5.6.16

5.6.15

5.6.14

5.6.13

5.6.12

5.6.11

5.6.10

5.6.9

5.6.8

5.6.7

5.6.6

5.6.5

5.6.4

5.6.3

5.6.2

5.6.1

5.5.7

5.5.6

5.5.5

5.5.4

5.5.3

5.5.2

5.5.1

5.5.0

5.4.1

5.4.0

5.3.10

5.3.9

5.3.8

5.3.7

5.3.5

5.3.4

5.3.3

5.3.2

5.3.1

5.3.0

5.2.10

5.2.9

5.2.8

5.2.7

5.2.5

5.2.4

5.2.1

5.2.0

5.1.6

5.1.5

5.1.4

5.1.3

5.1.2

5.1.1

5.1.0

5.0.7

5.0.6

5.0.5

5.0.4

5.0.1

4.3.6

4.3.5

4.3.4

4.3.0

4.2.12

4.2.10

4.2.7

4.2.5

4.2

4.1.98

4.1.95

4.1.93

4.1.91

4.1.86

4.1.84

4.1.81

4.1.78

4.1.76

4.1.73

4.1.63

4.1.61

4.1.58

4.1.56

This version

4.1.54

4.1.49

4.1.47

4.1.40

4.1.31

4.1.23

4.1.19

4.1.14

4.1.1

4.0.50

4.0.47

4.0.44

4.0.42

4.0.40

4.0.34

4.0.32

4.0.30

4.0.26

4.0.4

3.2.4

3.2.1

3.1.100

3.1.98

3.1.96

3.1.92

3.1.90

3.1.88

3.1.82

3.1.77

3.1.75

3.1.72

3.1.70

3.1.63

3.1.60

3.1.58

3.1.56

3.1.54

3.1.52

3.1.50

3.1.46

3.1.44

3.1.42

3.1.40

3.1.39

3.1.37

3.1.10

3.0.113

3.0.103

3.0.99

3.0.93

3.0.87

3.0.84

3.0.82

3.0.80

3.0.73

3.0.72

3.0.70

3.0.68

3.0.66

3.0.62

3.0.60

3.0.58

3.0.56

3.0.43

3.0.39

3.0.36

3.0.34

3.0.31

3.0.30

3.0.22

3.0.19

3.0.16

3.0.12

3.0.7

3.0.5

3.0.3

2.13.13

2.13.6

2.13.3

2.13.1

2.12.11

2.12.9

2.12.6

2.12.4

2.11.52

2.11.50

2.11.47

2.11.45

2.11.41

2.11.35

2.11.33

2.11.31

2.11.28

2.11.26

2.11.14

2.11.12

2.11.10

2.11.9

2.11.7

2.11.5

2.11.3

2.11.1

2.10.150

2.10.147

2.10.146

2.10.144

2.10.135

2.10.134

2.10.132

2.10.130

2.10.129

2.10.127

2.10.124

2.10.121

2.10.120

2.10.118

2.10.116

2.10.115

2.10.114

2.10.112

2.10.111

2.10.109

2.10.107

2.10.105

2.10.102

2.10.99

2.10.97

2.10.95

2.10.93

2.10.86

2.10.85

2.10.83

2.10.80

2.10.78

2.10.76

2.10.74

2.10.72

2.10.66

2.10.65

2.10.63

2.10.61

2.10.60

2.10.59

2.10.57

2.10.53

2.10.51

2.10.49

2.10.47

2.10.45

2.10.43

2.10.41

2.10.39

2.10.38

2.10.36

2.10.34

2.10.33

2.10.32

2.10.31

2.10.30

2.10.29

2.10.28

2.10.25

2.10.21

2.10.20

2.10.18

2.10.15

2.10.13

2.10.11

2.10.9

2.10.7

2.10.6

2.10.5

2.10.4

2.10.3

2.10.1

2.9.22

2.9.19

2.9.17

2.9.15

2.9.14

2.9.13

2.9.12

2.9.11

2.9.10

2.9.4

2.9.3

2.9.2

2.9.1

2.8.8

2.8.2

2.8.1

2.8

2.7.10

2.7.9

2.7.8

2.7.7

2.7.5

2.7.4

2.7.post0.dev15 pre-release

2.7.post0.dev13 pre-release

2.7.post0.dev12 pre-release

2.6.40

2.6.38

2.6.37

2.6.36

2.6.35

2.6.34

2.6.32

2.6.31

2.6.30

2.6.29

2.6.26

2.6.25

2.6.24

2.6.23

2.6.22

2.6.21

2.6.20

2.6.19

2.6.18

2.6.17

2.6.14

2.6.13

2.6.12

2.6.11

2.6.10

2.6.9

2.6.7

2.6.3

2.6.1

2.4.28

2.4.27

2.4.24

2.4.22

2.4.21

2.4.18

2.4.13

2.4.12

2.4.11

2.4.9

2.4.8

2.4.2

2.4.1

2.3.90

2.3.73

2.3.71

2.3.70

2.3.68

2.3.67

2.3.66

2.3.64

2.3.63

2.3.62

2.3.60

2.3.59

2.3.57

2.3.49

2.3.48

2.3.47

2.3.46

2.3.44

2.3.37

2.3.36

2.3.35

2.3.34

2.3.33

2.3.32

2.3.31

2.3.29

2.3.28

2.3.27

2.3.26

2.3.25

2.3.24

2.3.23

2.3.22

2.3.21

2.3.20

2.3.19

2.3.18

2.3.17

2.3.16

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

efel-4.1.54.tar.gz (111.1 kB view details)

Uploaded Source

Built Distributions

efel-4.1.54-cp310-cp310-win_amd64.whl (201.8 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-4.1.54-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-4.1.54-cp310-cp310-macosx_10_9_x86_64.whl (259.9 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-4.1.54-cp39-cp39-win_amd64.whl (201.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-4.1.54-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-4.1.54-cp39-cp39-macosx_10_9_x86_64.whl (259.9 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-4.1.54-cp38-cp38-win_amd64.whl (201.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-4.1.54-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-4.1.54-cp38-cp38-macosx_10_9_x86_64.whl (259.9 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

efel-4.1.54-cp37-cp37m-win_amd64.whl (201.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

efel-4.1.54-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-4.1.54-cp37-cp37m-macosx_10_9_x86_64.whl (259.9 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file efel-4.1.54.tar.gz.

File metadata

  • Download URL: efel-4.1.54.tar.gz
  • Upload date:
  • Size: 111.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.1.54.tar.gz
Algorithm Hash digest
SHA256 ed5bc04115d6208a611c4620f96b42f503b8f046196d225e3c1f21cc18849de3
MD5 d3c569a4d622460565a80b778f73f0e3
BLAKE2b-256 5aa81883bbb37f809e30867c47638460751ea7b8b8912b19c150f077eebf6471

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.54-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 201.8 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-4.1.54-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f4cd0ff10e106b38a97ebb0f1dd6b60553973d38cd021d8fbb6e8c356ac47400
MD5 478bdee978996230530a4c62cd1ab845
BLAKE2b-256 beba9e467e1a869228d5ebca1990da0a329fec36f59909c16a624f464709964d

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 85e63be324fc99c92c53115f8494182773498738f93c56b4c3fac69f217960ff
MD5 8a548b276d186853e14c1cda69aecb68
BLAKE2b-256 d4a29f576324f2e301bd03aba18b714e5236b8c07f6cc5a159500000aa89afe6

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 654a811bac087b903fdab49e29b42a0f5470979acf296b6890daf49fa3b1b91d
MD5 b77f68069be4ea4c8294113542c9555b
BLAKE2b-256 b1ff9310db5a3f57eca7b71dbf156c5af71f3a79d0a29977e1339259f8b4476d

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.54-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 201.8 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-4.1.54-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 efb9692cff3402b74a8878aff2ab1d9c0d623ca25a64d22f014a8764850642f4
MD5 bb636ca89a124c0389a3c1189721baa7
BLAKE2b-256 92fe32fe6a376eda302ff7514ae31d88d686072ecade041cf4c001ea4efbd845

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 11568aa4b7ddd57594278ce37e1b543d473c799ac2c50f60e6f75b35a04f6022
MD5 2d0d771564ef284040e311b61a669ce4
BLAKE2b-256 60e6841fc862d2e07184f6132472f5daed04055268ba0983844432695e07ac2b

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 3716e17cbc5ce66ef13c15f3b60c9f0ccb5e892ae13057c26fac0db0ead9e744
MD5 2b3d356a800bb59525c77ec230bd5c1a
BLAKE2b-256 8c33c44acdf61532e45437146e0efbca1aae66f779f57d9e0153b611f342c8a1

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.54-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 201.8 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-4.1.54-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 0e91a4ae28d60e7cb2e76e8bcb7feb5998134b463d2814b52df90ccaffc3a5f6
MD5 d5068d20b091178c3a4adccc188e2809
BLAKE2b-256 0bbdee4b0e922a85fafa9456a2c2df1a2d6cf8eba40cb8b02ae422198ca21530

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 97dac15c6628dd59c533f0b0c0b0ded5d28de2805040cfd7058201313d358444
MD5 20cf15e426bff32ef1623fdaa6f3b5a8
BLAKE2b-256 5687b12fa8b04e6487a63ea557ec0cd4464aca5b37edd2cb6cb0ffe9fe62b026

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f9dd1e71a3467502501b97a0c8d27a99875bc39aac39fad3d62306a5f76415b5
MD5 ce968b5309de4aa1f2608bc9ea253b69
BLAKE2b-256 17958d1c5d31794b114a63343cbaa2e02e5c463ccf472afc08b67028091ac151

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.54-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 201.7 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-4.1.54-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4ad228ccb8c0a0679397ef4c4574f8235a64bc8372360eb4f18d4634b99b9225
MD5 d27aa63a2b56612b7c16ae5d313cf76c
BLAKE2b-256 739437f531f5a15ec51fee3895f66a52d0c080b9f13f6cfcf0767c71c3364df9

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9877f8d8472dafe5919dc49d1cab71d162608a5ac6d886e71e299e7ecf2a8fea
MD5 d4b42e6bf8f1b3fb8755ba7e92505645
BLAKE2b-256 375e6e9a8937d678a7cde48c56d2989089a832403400d685e9790eeab81253fa

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.54-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.54-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 eebb551d9b8fc1623010847d611567d1da6a75d7cb54b4fe3cd5906062dc8b38
MD5 202eb4cc585a35784732da1b0df38ca2
BLAKE2b-256 d123e4b0912912b88e3d99e6b8e7568dd67bd3517ad69f49900251b9c97bdbe8

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