Skip to main content

MATER data providing

A library to help providing the right json files to feed the mater database.

It can be used to create a local json database to run mater simulations locally.

[TOC]

📋 Requirements

  • Python 3.12 or higher

We recommend using one virtual environment per Python project to manage dependencies and maintain isolation. You can use a package manager like uv to help you with library dependencies and virtual environments.

📦 Install the mater-data-providing Package

Install the mater-data-providing package via uv (recomanded):

uv add mater-data-providing

Install the mater-data-providing package via pip:

pip install mater-data-providing

📚 Getting started

To get started, refer to the official documentation.

Metadata

Release files for mater-data-providing 0.3.1

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

Source distribution (sdist)

Source distribution for mater-data-providing 0.3.1
File Size Uploaded Provenance Actions
mater_data_providing-0.3.1.tar.gz 402.8 kB Without provenance Details for mater_data_providing-0.3.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for mater-data-providing 0.3.1
File Interpreter ABI Platform Actions
mater_data_providing-0.3.1-py3-none-any.whl Python 3 none any Details for mater_data_providing-0.3.1-py3-none-any.whl

Total release size: 430.3 kB

Release files / mater_data_providing-0.3.1.tar.gz

Download URL mater_data_providing-0.3.1.tar.gz
Size 402.8 kB
Tags Source
SHA-256 checksum
How to use checksums
6b45e6e6023bd4b9abdf1560f648d2379bcdef49d424ae0d99ad238f76bb40f2
BLAKE2b-256 checksum
How to use checksums
bb70d5e2a5e51dbabec5e9c55d353cbc5129dfe19c40d594ae96ab115c9e8b26
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.7

Release files / mater_data_providing-0.3.1-py3-none-any.whl

Download URL mater_data_providing-0.3.1-py3-none-any.whl
Size 27.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
022e90604718a7663c50f18f0ec3cc43573a3335e61cbb4236a17e16839e6570
BLAKE2b-256 checksum
How to use checksums
5a537233c6ef2e1fb9bc61696f9949d981dcbd0cac2331d1da659a76c4dcfd2d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.5.7

Security for mater-data-providing 0.3.1

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