# 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: stream
Provides-Extra: docker

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

This version

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

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-0.8.26.tar.gz (40.0 kB view details)

Uploaded Source

Built Distribution

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

suanpan-0.8.26-py3-none-any.whl (58.1 kB view details)

Uploaded Python 3

File details

Details for the file suanpan-0.8.26.tar.gz.

File metadata

  • Download URL: suanpan-0.8.26.tar.gz
  • Upload date:
  • Size: 40.0 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-0.8.26.tar.gz
Algorithm Hash digest
SHA256 1d9428d3c3928215452916158451c3eee29a1f08013ca536d6871371ab928ed8
MD5 0e64eccee99ddb8ff3749dc4d0a82383
BLAKE2b-256 3f012c8a4c67f7733cfe254d5ce475bd19249a950e283e54eaabd34d95783913

See more details on using hashes here.

File details

Details for the file suanpan-0.8.26-py3-none-any.whl.

File metadata

  • Download URL: suanpan-0.8.26-py3-none-any.whl
  • Upload date:
  • Size: 58.1 kB
  • Tags: Python 3
  • 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-0.8.26-py3-none-any.whl
Algorithm Hash digest
SHA256 079b7598bbeb2639403fb1053fddc218238e069a43322a921428b2ea560b4241
MD5 68b1dfd1ebcf402e804146922f4f1f9d
BLAKE2b-256 8b45a9079159b5b34775a91baa04a27e78b52dc121f1cd9ff0504508537e8a1f

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