Machine Learning Orchestration

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dbnd-dev from gravatar.com dbnd-dev

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dbnd-dev from gravatar.com dbnd-dev

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.0.27.2

1.0.26.2

1.0.26.1

1.0.25.2

1.0.24.1

1.0.23.2

1.0.23.1

1.0.23.0

1.0.22.9

1.0.22.8

1.0.22.7

1.0.22.4

1.0.21.5

1.0.21.4

1.0.21.3

1.0.21.2

1.0.21.1

1.0.20.4

1.0.20.3

1.0.20.2

1.0.20.1

1.0.19.1

1.0.18.1

1.0.16.2

1.0.16.1

1.0.15.1

1.0.14.3

1.0.14.1

1.0.13.1 yanked

1.0.12.18

1.0.12.13

1.0.12.12

1.0.12.11

1.0.12.10

1.0.12.9

1.0.12.8

1.0.12.5

1.0.12.3

1.0.12.2

1.0.12.1

1.0.11.1

1.0.9.1

1.0.8.1

1.0.7.4

1.0.7.3

1.0.7.2

1.0.6.15

1.0.6.14

1.0.6.13

1.0.6.12

1.0.6.9

1.0.6.8

1.0.6.6

1.0.6.5

1.0.6.4

1.0.6.3

1.0.6.2

1.0.6.1

1.0.5.8

1.0.5.7

1.0.5.6

1.0.5.5

1.0.5.4

1.0.5.2

1.0.5.1

1.0.4.22

1.0.4.21

1.0.4.19

1.0.4.18

1.0.4.17

1.0.4.16

1.0.4.15

1.0.4.14

1.0.4.13

1.0.4.10

1.0.4.9

1.0.4.8

1.0.4.7

1.0.4.6

1.0.4.4

1.0.4.3

1.0.4.2

1.0.4.1

1.0.3.10

1.0.3.8

1.0.3.7

1.0.3.6

1.0.3.5

1.0.3.4

1.0.3.3

1.0.3.2

1.0.3.1

1.0.2.5

1.0.2.4

1.0.2.2

1.0.2.1

1.0.1.10

1.0.1.8

1.0.1.7

1.0.1.6

1.0.1.5

1.0.1.4

1.0.1.2

1.0.1.1

1.0.0.0

0.90.10

0.90.9

0.90.8

0.90.7

0.90.6

0.90.2

0.90.1

0.89.11

0.89.9

0.89.8

0.89.7

0.89.6

0.89.5

0.89.4

0.89.3

0.89.2

0.88.5

0.88.4

0.88.3

0.88.2

0.88.1

0.87.4

0.87.3

0.87.2

0.87.1

0.86.3

0.85.9

0.85.8

0.85.6

0.85.4

0.85.2

0.84.5

0.84.4

0.84.3

0.84.2

0.84.1

0.83.5

0.83.4

0.83.3

0.83.2

0.83.1

0.82.9

0.82.8

0.82.5

0.82.4

0.82.3

0.82.2

0.82.1

0.81.4

0.81.2

0.81.1

0.80.12

0.80.11

0.80.10

0.80.9

0.80.7

0.80.6

0.80.5

0.80.4

0.80.3

0.80.1

0.79.17

0.79.16

0.79.15

0.79.13

0.79.11

0.79.10

0.79.9

0.79.8

0.79.7

0.79.6

0.79.4

0.79.3

0.79.2

0.79.1

0.78.10

0.78.9

0.78.8

0.78.7

0.78.6

0.78.5

0.78.4

0.78.3

0.78.2

0.78.1

0.76.9

0.76.7

0.76.6

0.76.5

0.76.4

0.76.2

0.76.1

0.75.15

0.75.14

0.75.13

0.75.12

0.75.11

0.75.10

0.75.9

0.75.8

0.75.7

0.75.6

0.75.5

0.75.4

0.75.3

0.75.2

0.74.18

0.74.17

0.74.16

0.74.15

0.74.14

0.74.13

0.74.12

0.74.11

0.74.10

0.74.9

0.74.8

0.74.7

0.74.6

0.74.5

0.74.4

0.74.3

0.74.2

0.74.1

0.73.11

0.73.10

0.73.9

0.73.8

0.73.7

0.73.6

0.73.5

0.73.4

0.73.3

0.73.2

0.73.1

0.71.9

0.71.8

0.71.7

0.71.6

0.71.5

0.71.4

0.71.3

0.71.2

0.71.1

0.70.9

0.70.8

0.70.7

0.70.6

0.70.5

0.70.4

0.70.3

0.70.2

0.70.1

0.69.6

0.69.5

0.69.4

0.69.3

0.69.2

0.69.1

0.68.1

0.67.4

0.67.3

0.67.2

0.67.1

0.66.11

0.66.10

0.66.9

0.66.8

0.66.7

0.66.6

0.66.5

0.66.4

0.66.3

0.66.2

0.66.1

0.65.8

0.65.7

0.65.6

0.65.5

0.65.4

0.65.3

0.65.2

0.65.1

0.64.2

0.64.1

0.63.6

0.63.5

0.63.4

0.63.3

0.63.2

0.63.1

0.62.16

0.62.15

0.62.14

0.62.13

0.62.12

0.62.11

0.62.10

0.62.9

0.62.8

0.62.7

0.62.6

0.62.5

0.62.4

0.62.3

0.62.2

0.62.1

0.61.3

0.61.2

0.61.1

0.60.3

0.60.2

0.60.1

0.59.3

0.58.6

0.58.5

0.58.4

0.58.3

0.58.2

0.58.1

0.57.5

0.57.4

0.57.3

0.57.2

0.57.1

0.56.7

0.56.6

0.56.5

0.56.4

0.56.3

0.56.2

0.56.1

0.55.4

0.55.3

0.55.2

0.55.1

0.54.2

0.54.1

0.53.8

0.53.7

0.53.6

0.53.5

0.53.4

0.53.3

0.52.2

0.52.1

0.52.0

0.51.5

0.51.4

0.51.3

0.51.2

0.51.1

0.51.0

0.50.6

0.50.5

0.50.4

0.50.3

0.50.2

0.50.1

0.49.6

0.49.4

0.49.3

0.49.2

0.49.0

0.48.7

0.48.6

0.48.5

0.48.3

0.48.2

0.48.1

0.48.0

0.47.4

0.47.3

0.47.2

0.47.1

0.47.0

This version

0.46.5

0.46.4

0.46.3

0.46.2

0.46.1

0.46.0

0.45.9

0.45.8

0.45.7

0.45.6

0.45.5

0.45.4

0.45.3

0.45.2

0.45.1

0.45.0

0.44.7

0.44.6

0.44.5

0.44.4

0.44.3

0.44.2

0.44.1

0.44.0

0.43.5

0.43.4

0.43.3

0.43.2

0.43.1

0.42.5

0.42.4

0.42.3

0.42.2

0.42.1

0.41.6

0.41.5

0.41.4

0.41.3

0.41.2

0.41.1

0.41.0

0.40.3

0.40.2

0.40.1

0.40.0

0.39.3

0.39.2

0.39.1

0.39.0

0.38.7

0.38.6

0.38.5

0.38.4

0.38.3

0.38.2

0.38.1

0.38.0

0.37.5

0.37.4

0.37.3

0.37.2

0.37.1

0.37.0

0.36.5

0.36.4

0.36.3

0.36.2

0.36.1

0.36.0

0.35.2

0.35.1

0.34.7

0.34.6

0.34.5

0.34.4

0.34.3

0.34.2

0.34.1

0.34.0

0.33.4

0.33.1

0.33.0

0.32.13

0.32.12

0.32.11

0.32.10

0.32.9

0.32.8

0.32.7

0.32.6

0.32.5

0.32.4

0.32.3

0.32.2

0.32.1

0.32.0

0.31.2

0.31.1

0.31.0

0.30.8

0.30.6

0.30.5

0.30.4

0.30.3

0.30.2

0.30.1

0.30.0

0.29.10

0.29.9

0.29.8

0.29.7

0.29.6

0.29.5

0.29.3

0.29.2

0.29.1

0.29.0

0.28.28

0.28.27

0.28.26

0.28.25

0.28.24

0.28.22

0.28.21

0.28.20

0.28.19

0.28.18

0.28.17

0.28.16

0.28.15

0.28.12

0.28.11

0.28.10

0.28.9

0.28.8

0.28.7

0.28.5

0.28.3

0.28.2

0.28.1

0.28.0

Download files

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

Source Distribution

dbnd-luigi-0.46.5.tar.gz (12.9 kB view details)

Uploaded Source

Built Distribution

dbnd_luigi-0.46.5-py2.py3-none-any.whl (15.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file dbnd-luigi-0.46.5.tar.gz.

File metadata

  • Download URL: dbnd-luigi-0.46.5.tar.gz
  • Upload date:
  • Size: 12.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.13

File hashes

Hashes for dbnd-luigi-0.46.5.tar.gz
Algorithm Hash digest
SHA256 a08bae18f076db57a238cc3eb6e7df29cc27172ae456b28fee436285798a0de1
MD5 54a3d480a26c444782c87eb3b7274075
BLAKE2b-256 a8eea79b10dbc6fa2b086cb8736bd1d224a5d49e021e0cc659d8eb7ca761246e

See more details on using hashes here.

File details

Details for the file dbnd_luigi-0.46.5-py2.py3-none-any.whl.

File metadata

  • Download URL: dbnd_luigi-0.46.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 15.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.6.13

File hashes

Hashes for dbnd_luigi-0.46.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 9350627ef733355c9a29c3d16dfdf097489d7bf1bcc1f3da90b80a7dbedffc94
MD5 9d4cdd6c073587ccad1843db29cd99a2
BLAKE2b-256 68d4b9fe536a73ed88bd55ade7b5c6ce58f36ac7b424aa587ca85389cf64c104

See more details on using hashes here.

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