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.dev123

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.dev123
File Size Uploaded Provenance Actions
emdbva-0.0.1.dev123.tar.gz 26.0 MB Without provenance Details for emdbva-0.0.1.dev123.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for emdbva 0.0.1.dev123
File Interpreter ABI Platform Actions
emdbva-0.0.1.dev123-py3-none-any.whl Python 3 none any Details for emdbva-0.0.1.dev123-py3-none-any.whl

Total release size: 52.1 MB

Release files / emdbva-0.0.1.dev123.tar.gz

Download URL emdbva-0.0.1.dev123.tar.gz
Size 26.0 MB
Tags Source
SHA-256 checksum
How to use checksums
a48d04d4d5f33709106cfade3aea41a0a34ecf57e93bb9266c0dac91dd8fadb6
BLAKE2b-256 checksum
How to use checksums
06037322e0f51495b2c2286f22105b0827b983f8c52a546248d03d56c00c5189
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.dev123-py3-none-any.whl

Download URL emdbva-0.0.1.dev123-py3-none-any.whl
Size 26.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
8771503c3bec5869db4eff7891c087c015b4eed772a5cbf1adb52107a1c14b9c
BLAKE2b-256 checksum
How to use checksums
cde334ffbf70088a7e46d37a201aee3e10691ed6aa3fe163b0fe40510d1e4e9e
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.dev123

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