Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

EMDBVA Validation-Analysis

A Python package for validation and analysis of EMDB maps and models, providing local resolution, Q-score, and other metrics.

Features

  • Local resolution calculation
  • Q-score and other validation metrics
  • Integration with ChimeraX for visualization
  • Command-line and API usage

Installation

Clone the repository and install dependencies:

git clone https://github.com/yourusername/EMDBVA.git
cd EMDBVA/Validation-Analysis
pip install -r va/environment.yml

Metadata

Release files for emdbva 0.0.1.dev132

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

Source distribution (sdist)

Source distribution for emdbva 0.0.1.dev132
File Size Uploaded Provenance Actions
emdbva-0.0.1.dev132.tar.gz 26.0 MB Without provenance Details for emdbva-0.0.1.dev132.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for emdbva 0.0.1.dev132
File Interpreter ABI Platform Actions
emdbva-0.0.1.dev132-py3-none-any.whl Python 3 none any Details for emdbva-0.0.1.dev132-py3-none-any.whl

Total release size: 52.1 MB

Release files / emdbva-0.0.1.dev132.tar.gz

Download URL emdbva-0.0.1.dev132.tar.gz
Size 26.0 MB
Tags Source
SHA-256 checksum
How to use checksums
99aa6fff8b682f40d5f03a5e5ffd36ed9d45d82580dc3999e974b6514f5dc292
BLAKE2b-256 checksum
How to use checksums
1ae630218d44b02fbffe9921dabc8c75fcb6aa0588fd71455f409b74bb4b2acb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Release files / emdbva-0.0.1.dev132-py3-none-any.whl

Download URL emdbva-0.0.1.dev132-py3-none-any.whl
Size 26.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
e6ca08c3632aac6698953cd8c84689d9aa8748a20da9e5593ada2c12f9989c9b
BLAKE2b-256 checksum
How to use checksums
062f1c6c2e4a463f02be4cb61ef5e55a3d66d2d3a40c4b8ae7acdaa90442803c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.18

Security for emdbva 0.0.1.dev132

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.

Release history Release notifications | RSS feed

This release
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