# AiLab

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for majik from gravatar.com majik

Unverified details

These details have not been verified by PyPI
Report project as malware

Project description

Home-page: UNKNOWN
Author: majik
Author-email: me@yamajik.com
License: See License
Description:
suanpan

Platform: any
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Provides-Extra: docker
Provides-Extra: stream

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for majik from gravatar.com majik

Unverified details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

0.15.8

0.15.7

0.15.6

0.15.5

0.15.3

0.15.2

0.15.1

0.15.0

0.14.5

0.13.10

0.13.9

0.13.8

0.13.7

0.13.6

0.13.5

0.13.3

0.13.2

0.13.1

0.13.0

0.12.78

0.12.77

0.12.76

0.12.75

0.12.74

0.12.73

0.12.72

0.12.71

0.12.70

0.12.69

0.12.68

0.12.67

0.12.66

0.12.65

0.12.64

0.12.63

0.12.62

0.12.61

0.12.60

0.12.59

0.12.58

0.12.57

0.12.56

0.12.55

0.12.54

0.12.49

0.12.48

0.12.47

0.12.46

0.12.45

0.12.44

0.12.43

0.12.42

0.12.41

0.12.40

0.12.39

0.12.38

0.12.37

0.12.36

0.12.35

0.12.34

0.12.33

0.12.32

0.12.31

0.12.30

0.12.29

0.12.28

0.12.27

0.12.26

0.12.25

0.12.24

0.12.23

0.12.21

0.12.20

0.12.19

0.12.18

0.12.17

0.12.16

0.12.15

0.12.14

0.12.13

0.12.12

0.12.11

0.12.10

0.12.9

0.12.8

0.12.7

0.12.6

0.12.5

0.12.4

0.12.3

0.11.25

0.11.24

0.11.23

0.11.22

0.11.19

0.11.18

0.11.17

0.11.16

0.11.15

0.11.14

0.11.13

0.11.12

0.11.11

0.11.10

0.11.9

0.11.8

0.11.7

0.11.6

0.11.5

0.11.4

0.11.3

0.11.2

0.11.1

0.11.0

0.10.55

0.10.54

0.10.53

0.10.52

0.10.51

0.10.49

0.10.48

0.10.47

0.10.46

0.10.45

0.10.44

0.10.43

0.10.42

0.10.41

0.10.40

0.10.39

0.10.38

0.10.37

0.10.36

0.10.35

0.10.34

0.10.33

0.10.32

0.10.31

0.10.30

0.10.29

0.10.28

0.10.27

0.10.26

0.10.25

0.10.24

0.10.23

0.10.21

0.10.20

0.10.19

0.10.18

0.10.17

0.10.16

0.10.15

0.10.14

0.10.13

0.10.12

0.10.11

0.10.10

0.10.9

0.10.8

0.10.7

0.10.6

0.10.5

0.10.2

0.10.0

0.9.105

0.9.104

0.9.101

0.9.100

0.9.99

0.9.98

0.9.97

0.9.96

0.9.95

0.9.94

0.9.93

0.9.92

0.9.91

0.9.90

0.9.89

0.9.88

0.9.87

0.9.86

0.9.85

0.9.84

0.9.83

0.9.82

0.9.81

0.9.80

0.9.79

0.9.78

0.9.77

0.9.76

0.9.75

0.9.74

0.9.73

0.9.72

0.9.71

0.9.70

0.9.69

0.9.68

0.9.67

0.9.66

0.9.65

0.9.64

0.9.63

0.9.62

0.9.61

0.9.60

0.9.59

0.9.58

0.9.57

0.9.56

0.9.55

0.9.54

0.9.53

0.9.52

0.9.51

0.9.50

0.9.48

0.9.47

0.9.46

0.9.45

0.9.43

0.9.42

0.9.41

0.9.40

0.9.39

0.9.38

0.9.37

0.9.36

0.9.35

0.9.34

0.9.33

0.9.32

0.9.31

0.9.30

0.9.29

0.9.28

0.9.27

0.9.26

0.9.25

0.9.24

0.9.23

0.9.22

0.9.21

0.9.20

0.9.19

0.9.18

0.9.17

0.9.16

0.9.15

0.9.14

0.9.13

0.9.12

0.9.11

0.9.10

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.3

0.9.2

0.9.1

0.9.0

0.8.109

0.8.108

0.8.107

0.8.106

0.8.105

0.8.104

0.8.103

0.8.102

0.8.101

0.8.100

0.8.99

0.8.97

0.8.95

0.8.80

0.8.79

0.8.78

0.8.77

0.8.76

0.8.75

0.8.74

0.8.73

0.8.72

0.8.71

0.8.70

0.8.69

0.8.68

0.8.66

0.8.65

0.8.64

0.8.63

0.8.62

0.8.61

0.8.60

0.8.59

0.8.58

0.8.57

0.8.56

0.8.55

0.8.54

0.8.53

0.8.52

0.8.51

0.8.50

0.8.49

0.8.48

0.8.47

0.8.46

0.8.45

0.8.43

0.8.41

0.8.40

0.8.39

0.8.38

0.8.36

0.8.33

0.8.32

0.8.31

0.8.30

0.8.29

0.8.28

0.8.27

0.8.26

0.8.25

0.8.24

0.8.23

0.8.22

0.8.21

0.8.20

0.8.19

0.8.18

0.8.17

0.8.16

0.8.15

0.8.14

0.8.13

0.8.12

0.8.11

0.8.10

0.8.9

0.8.8

0.8.7

0.8.6

0.8.5

0.8.0

0.7.82

0.7.81

This version

0.7.80

0.7.79

0.7.78

0.7.77

0.7.76

0.7.75

0.7.74

0.7.73

0.7.72

0.7.71

0.7.70

0.7.68

0.7.67

0.7.66

0.7.65

0.7.64

0.7.63

0.7.62

0.7.59

0.7.58

0.7.57

0.7.56

0.7.51

0.7.50

0.7.49

0.7.48

0.7.47

0.7.45

0.7.43

0.7.42

0.7.41

0.7.40

0.7.39

0.7.38

0.7.37

0.7.36

0.7.35

0.7.34

0.7.33

0.7.32

0.7.31

0.7.30

0.7.29

0.7.28

0.7.27

0.7.26

0.7.25

0.7.24

0.7.23

0.7.22

0.7.21

0.7.20

0.7.19

0.7.18

0.7.17

0.7.16

0.7.15

0.7.14

0.7.13

0.7.11

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.9

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.1

0.4.0

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.0.1

Download files

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

Source Distribution

suanpan-0.7.80.tar.gz (38.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

suanpan-0.7.80-py2-none-any.whl (57.5 kB view details)

Uploaded Python 2

File details

Details for the file suanpan-0.7.80.tar.gz.

File metadata

  • Download URL: suanpan-0.7.80.tar.gz
  • Upload date:
  • Size: 38.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for suanpan-0.7.80.tar.gz
Algorithm Hash digest
SHA256 9fea689d518ce8d945ab98055d5c0da88d38cf2029416268ad95971754108275
MD5 609ad930179c080821701af16062c640
BLAKE2b-256 d4eb936be85e86df35edd7d3145463c6ad135b38c09b0f8ecfc4c42c261a9fa5

See more details on using hashes here.

File details

Details for the file suanpan-0.7.80-py2-none-any.whl.

File metadata

  • Download URL: suanpan-0.7.80-py2-none-any.whl
  • Upload date:
  • Size: 57.5 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.2

File hashes

Hashes for suanpan-0.7.80-py2-none-any.whl
Algorithm Hash digest
SHA256 e876722d881f6c32ee6d16749f1cd6dd0e763d72751a13cbd8f96c05d8616485
MD5 f81426fa3efdcd860548e2b97f5c6f50
BLAKE2b-256 61e1c0ef686e0d996a1b7199118c29c1287a01507d454a67636fbb1ae51f036c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page