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

dbnd-luigi

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

This version

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

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-1.0.11.1.tar.gz (13.5 kB view details)

Uploaded Source

Built Distribution

dbnd_luigi-1.0.11.1-py2.py3-none-any.whl (15.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file dbnd-luigi-1.0.11.1.tar.gz.

File metadata

  • Download URL: dbnd-luigi-1.0.11.1.tar.gz
  • Upload date:
  • Size: 13.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for dbnd-luigi-1.0.11.1.tar.gz
Algorithm Hash digest
SHA256 fb9f0bb9bb2801885871e26ec9d3993bc15b1d6a5b0bdd30c3f6e695c866a1d7
MD5 29e4a3d1038d3b6758abb04f1693d172
BLAKE2b-256 48085acf945b0689a866a6d4ff26b84fe1acb3996e62832bb09e33ffe87aef0c

See more details on using hashes here.

File details

Details for the file dbnd_luigi-1.0.11.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for dbnd_luigi-1.0.11.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 b7686519cc375667002c6f63d121f8f2cf591d037e480999d4798da8c9006137
MD5 33b4515b64794fc90dbb1b5c0e2523fd
BLAKE2b-256 02ec1f8258a588f35b60ab4de35b129ebec2192fdbcdd5508e3e1550404f49a3

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