Skip to main content
https://img.shields.io/badge/docs-v1.10.3-orange.svg https://gitlab.idiap.ch/beat/beat.cmdline/badges/v1.10.3/pipeline.svg https://gitlab.idiap.ch/beat/beat.cmdline/badges/v1.10.3/coverage.svg https://img.shields.io/badge/gitlab-project-0000c0.svg

Core Components for BEAT

This package part of BEAT, an open-source evaluation platform for data science algorithms and workflows. It contains the command-line based program that can download/upload components with the platform. It can also run experiments locally.

Installation

Complete BEAT’s installation instructions. Then, to install this package, run:

$ conda install beat.cmdline

Contact

For questions or reporting issues to this software package, contact our development mailing list.

Metadata

Release files for beat.cmdline 1.10.3

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

Source distribution (sdist)

Source distribution for beat.cmdline 1.10.3
File Size Uploaded Provenance Actions
beat.cmdline-1.10.3.zip 240.5 kB Without provenance Details for beat.cmdline-1.10.3.zip

Release files / beat.cmdline-1.10.3.zip

Download URL beat.cmdline-1.10.3.zip
Size 240.5 kB
Tags Source
SHA-256 checksum
How to use checksums
b609377b451e7ea89ce30b6335e3703298d91f751cc0ea4aae3880cf2cec57f8
BLAKE2b-256 checksum
How to use checksums
736a312af2e2f95ba3b11a851c928ebe94841ae5445553494ce4123779e27e80
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.8

Security for beat.cmdline 1.10.3

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