No project description provided

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for blythed from gravatar.com blythed

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR ...
  • Maintainer: superduper.io, Inc.
  • Tags databases, mongodb, data-science, machine-learning, mlops, vector-database, ai
  • Requires: Python >=3.10

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for blythed from gravatar.com blythed

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR ...
  • Maintainer: superduper.io, Inc.
  • Tags databases, mongodb, data-science, machine-learning, mlops, vector-database, ai
  • Requires: Python >=3.10

Release history Release notifications | RSS feed

0.4.0

0.0.5

This version

0.0.2

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

superduper_dummy-0.0.2.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

superduper_dummy-0.0.2-py3-none-any.whl (9.7 kB view details)

Uploaded Python 3

File details

Details for the file superduper_dummy-0.0.2.tar.gz.

File metadata

  • Download URL: superduper_dummy-0.0.2.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.5

File hashes

Hashes for superduper_dummy-0.0.2.tar.gz
Algorithm Hash digest
SHA256 7f5c86b6995f6468c323c31cb013308b3eb705eb7831ff995956fb361a0af6ff
MD5 d5c96ff973c3073dedc0e3553eda55a7
BLAKE2b-256 084b1ba8e4159e21fb6b49d24c6a933de5d24d5634f3b005f2575bcdd8460c83

See more details on using hashes here.

File details

Details for the file superduper_dummy-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for superduper_dummy-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 19e3f9b24435b7742ef84effc0e346aca1179de131787b2fa8e3814265c58703
MD5 a905e37c56ae6b2230d130f78e9a6f9c
BLAKE2b-256 376a93d0ed3c02954af200ccfbe1d0bef7c61ff8d87efebe0958ad85987af0b9

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