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.dev145

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.dev145
File Size Uploaded Provenance Actions
emdbva-0.0.1.dev145.tar.gz 26.1 MB Without provenance Details for emdbva-0.0.1.dev145.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for emdbva 0.0.1.dev145
File Interpreter ABI Platform Actions
emdbva-0.0.1.dev145-py3-none-any.whl Python 3 none any Details for emdbva-0.0.1.dev145-py3-none-any.whl

Total release size: 52.2 MB

Release files / emdbva-0.0.1.dev145.tar.gz

Download URL emdbva-0.0.1.dev145.tar.gz
Size 26.1 MB
Tags Source
SHA-256 checksum
How to use checksums
9c2e5013b3e3b19a4f84d0d284909bf3aaa29e398d1ed4938cc8e4ec34eb6a21
BLAKE2b-256 checksum
How to use checksums
16f9c4bab07f68c195f00088e85abe6184270b78f7dcbdf30094b2f9144186e4
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.dev145-py3-none-any.whl

Download URL emdbva-0.0.1.dev145-py3-none-any.whl
Size 26.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
2a6e702f84d54e90ab92d59ab5810dd809ce79974d78c1b0c161792b07016202
BLAKE2b-256 checksum
How to use checksums
dc6a7312d9f031f6ea45ab0675696f1b57bea4d2a2c6234ebe1361efdcde3c3f
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.dev145

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