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

This version

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

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-4.1.91.tar.gz (112.3 kB view details)

Uploaded Source

Built Distributions

efel-4.1.91-cp311-cp311-win_amd64.whl (206.1 kB view details)

Uploaded CPython 3.11 Windows x86-64

efel-4.1.91-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-4.1.91-cp311-cp311-macosx_10_9_x86_64.whl (264.1 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

efel-4.1.91-cp310-cp310-win_amd64.whl (206.1 kB view details)

Uploaded CPython 3.10 Windows x86-64

efel-4.1.91-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-4.1.91-cp310-cp310-macosx_10_9_x86_64.whl (264.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

efel-4.1.91-cp39-cp39-win_amd64.whl (206.1 kB view details)

Uploaded CPython 3.9 Windows x86-64

efel-4.1.91-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-4.1.91-cp39-cp39-macosx_10_9_x86_64.whl (264.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

efel-4.1.91-cp38-cp38-win_amd64.whl (206.1 kB view details)

Uploaded CPython 3.8 Windows x86-64

efel-4.1.91-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-4.1.91-cp38-cp38-macosx_10_9_x86_64.whl (264.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

efel-4.1.91-cp37-cp37m-win_amd64.whl (206.1 kB view details)

Uploaded CPython 3.7m Windows x86-64

efel-4.1.91-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-4.1.91-cp37-cp37m-macosx_10_9_x86_64.whl (264.1 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file efel-4.1.91.tar.gz.

File metadata

  • Download URL: efel-4.1.91.tar.gz
  • Upload date:
  • Size: 112.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for efel-4.1.91.tar.gz
Algorithm Hash digest
SHA256 69ee6c659c733374ab6a45514b573c5a6e375a2b684aaee6315b48ab08d272b7
MD5 5635d7d98b35c9f27f5521d2f8c7e7fc
BLAKE2b-256 b90dc07b7b107f1a5fbb8f14925c7c490fc9ec8b276967ac660357407055d039

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.91-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 206.1 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-4.1.91-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 62a04cc8e124701d039171d03f37b3158e330e72fa39bdef1f082cff0c34baf9
MD5 362a748405fbf9f63fd24ceba68ca197
BLAKE2b-256 55c12f9b8e7a77522362ff3e0318454f5065f99cbc3dcb71123d42c0f9672bc6

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 917abe2aecba4e3e833f0cf93de885eb1db9738e18c35c702c99df510a7305d2
MD5 bdef89e0bc961ae0f1a54d692a5a0925
BLAKE2b-256 47d8807b73e1afe83e5493bb1c72d7b779b5da3bde264dc404ad2ad38e4fde33

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2564361ec5a7f67157291ab6330047a3cbc1ec668537dd5674609e411b96e828
MD5 ac9bc0588525e72ab834742580d16c91
BLAKE2b-256 bc002ec90991b6ac354fee3741c6fb9f66f3b2ee5359d01155caad002d3d7845

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.91-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 206.1 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-4.1.91-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 43b1a937e77a9c80411a004603d8f787886bed4e727ba336bf1dda33636050d8
MD5 9344f34d1a7a54ae062459e805f54e1c
BLAKE2b-256 0c7f60e808dbe7de4fab2e390c091574fcdaf21191824921d905bccdb7726cf0

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 46b3063f83b4a042d5fe6205cbb31be5e4e107ab63eda83776f920220a9f521d
MD5 ac40275dd78674321e531260aa1563c7
BLAKE2b-256 de36b599344e44b12bfd3116f890c791f3917c6a7bcbc0decebde374f40e0825

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cf65fb93439ef1dd2a19dc597c9df05c35694c9074a4350129a7255fd0b07004
MD5 8879543baf9044b240b9252b29118eeb
BLAKE2b-256 28740a27629e7285f42ec854fa6167dcd4a2a525a2a5a6a349afb6e6091b69b9

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.91-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 206.1 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-4.1.91-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3d999dfe8a562ed094b551478481ad91dcbe8653faac0d8f8ef126782fdd6b6d
MD5 d6ca0f6b416b16789b5b89095f79c181
BLAKE2b-256 af936ac563c776fff2ded7f7aaf34f20f27d094c776864a1fe66a3198bfe3c0c

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c01ee9aab64eacffbb40dba560334b5bd37fdfaf752e842e6eea030124c77fb1
MD5 940241613696ff17c1b4807bad3938a3
BLAKE2b-256 5cf255b6636b48055017d9b137f8d2ed015ba5234d2ca6c40984fc6bd6403884

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 76df15e70d5d1210d1ba2ddb51cea9ba52ec07d4d01a6db20f6a29b96d8775ad
MD5 9a8493e5b436f049a816c61226abb8e5
BLAKE2b-256 67dec054e96e05675eca6a305b19f343ec7973f982b7527e4e004e6206e88012

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.91-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 206.1 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-4.1.91-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 05ca5973a7c62189ccd77afe1e5f90065c8fad17d965a35469c27925843c26e6
MD5 4d31c9614e44b167f1769dcad34fc3f0
BLAKE2b-256 ecc4a8a71c9b98811a1d21eeb8d07a3d9955f377472557e6588ae123b9f59364

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dfdd7c5e09d9c9705e6e6b97c41ba1a4928b1734c8b1fa5f4076f853cc17f755
MD5 7c98506587fe6a9955bdb24d0602e32c
BLAKE2b-256 a0395f35cae5c652a97124bc5657b971718b7f1a3de8842580ce2e192e5ca3b7

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 91a98fb46ab6213247770f00d1730da83d35310ee86031ea034a38b1b68b43d9
MD5 10aaced405602232e8878d8f123677f8
BLAKE2b-256 5a8a0ab1ae195a8091a7726432133ad40104553ebce10aa281d76cff25fac631

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: efel-4.1.91-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 206.1 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-4.1.91-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 9ddec274ac1a625a93851c2a081685bdd57837cb761ef9093e4c2a11564a6528
MD5 71d30fb11c73c2afa88a921307b5f650
BLAKE2b-256 555cc0598c74fbd461b6ab3a4661a1d247bd3d8ebaa8f1e34f1ef237c5640fb9

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1daa0789bc6fb87f6a9694b681e27f2e31e7f635816e5fa1294f78888ca9129b
MD5 7b76881a2c302b3dec199772ebfa4b0c
BLAKE2b-256 96609675ce6f55ef453eb0990da0134b388633621e31809e13f34965422fa4e6

See more details on using hashes here.

Provenance

File details

Details for the file efel-4.1.91-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for efel-4.1.91-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 099578d8108f17642e33d6511b4ce23994876c4a8e1037e23d3fee77d3738b9f
MD5 3879087878dec1114f04a852209a44c0
BLAKE2b-256 2d840a4153613be83a42608a6e4ed00e06d1eed3ff017d6508931fa1637ad2cb

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