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

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

This version

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-0.36.4.tar.gz (13.4 kB view details)

Uploaded Source

Built Distribution

dbnd_luigi-0.36.4-py2.py3-none-any.whl (15.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file dbnd-luigi-0.36.4.tar.gz.

File metadata

  • Download URL: dbnd-luigi-0.36.4.tar.gz
  • Upload date:
  • Size: 13.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.13

File hashes

Hashes for dbnd-luigi-0.36.4.tar.gz
Algorithm Hash digest
SHA256 87a47b83724621a5565b7d5d59a0df127dcee293619f168e3491cff917445665
MD5 4bac940c9edecc847464063212e2127d
BLAKE2b-256 11fce48a171ea9fe5a2c108538633dfd312a3c5ed5d2109bf7aa6971b83b8f60

See more details on using hashes here.

File details

Details for the file dbnd_luigi-0.36.4-py2.py3-none-any.whl.

File metadata

  • Download URL: dbnd_luigi-0.36.4-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/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.13

File hashes

Hashes for dbnd_luigi-0.36.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8f6ad6ebe8d5b24f31a7d9ca01270f4cd96edbe5463bba73fdeb6c383b41d8a4
MD5 3af86e0d3ed1aaa7f3ca9f18fc95349d
BLAKE2b-256 cb81613b1c8139475381d5c7f6e5df9612f26b769ffd68c25da6bdc7ac3e04cf

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