Skip to main content

RAMP workflow

RAMP workflow allows to define and run machine learning pipeline, documentations available here.

Metadata

Release files for ramp-workflow 0.7.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ramp-workflow 0.7.0
File Size Uploaded Provenance
ramp_workflow-0.7.0.tar.gz 93.1 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for ramp-workflow 0.7.0
File Interpreter ABI Platform
ramp_workflow-0.7.0-py3-none-any.whl Python 3 none any Details

Total release size: 223.2 kB

Release files / ramp_workflow-0.7.0.tar.gz

Download URL ramp_workflow-0.7.0.tar.gz
Size 93.1 kB
Tags Source
SHA-256 checksum
How to use checksums
eb54c17ba84bca5fad543c744a31eaf6d20d06255c836d9f9a477a3b9cf0bf9e
BLAKE2b-256 checksum
How to use checksums
32f48528bf8baacb8ebf1b157393bad66f3c82d12965b1566426ff4df9808aee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.12.6

Release files / ramp_workflow-0.7.0-py3-none-any.whl

Download URL ramp_workflow-0.7.0-py3-none-any.whl
Size 130.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
dcf25007d1cc86957a8ab2f11d9c0263a980a9c67518981d65f66360d891e5c5
BLAKE2b-256 checksum
How to use checksums
6f4355fd5501e339f6805bce49443dd6af970895caf10566657310a5bead45e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.12.6

Security for ramp-workflow 0.7.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page