RockVerse: Python tools for Computational Petrophysics
RockVerse is an open-source Python library designed to support high-performance computational petrophysics workflows. It is optimized for large-scale simulations and memory-intensive data processing. Leveraging state-of-the-art tools, the library delivers optimized performance across CPU and GPU parallel computing environments.
This project is under ongoing development as part of a post-doctoral research initiative, and we welcome contributions, bug reports, and feature suggestions.
Documentation
Online documentation is available at rockverse.readthedocs.io, featuring API reference, tutorials and sample gallery.
Installation
Follow our online installation guide to get started.
Development
RockVerse is open and hosted at Github: https://github.com/rodolfovictor/rockverse
Fell free to submit bugs to the issue tracker. Please remember to include the RockVerse version and a reproducible example demonstrating the problem.
Questions
For general questions consider using StackOverflow with a rockverse tag.
1 maintainer
Metadata
1 maintainer
Release files for rockverse 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rockverse-1.2.1.tar.gz | 16.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rockverse-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.0 MB
Release files / rockverse-1.2.1.tar.gz
| Download URL | rockverse-1.2.1.tar.gz |
|---|---|
| Size | 16.8 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.12.9
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Transparency logRelease files / rockverse-1.2.1-py3-none-any.whl
| Download URL | rockverse-1.2.1-py3-none-any.whl |
|---|---|
| Size | 138.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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.
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