BASELODE (Python)

Baselode is an open-source Python toolkit for working with structured exploration and mining datasets.

Version 0.1.0 focuses on domain-aware data models and validation utilities for drillhole-style data. The goal is to provide a consistent foundation for analytics, visualization, and AI workflows.

Installation

pip install baselode

Requires: Python 3.12+

Example

import baselode.drill.data

gdf = baselode.drill.data.load_collars(COLLAR_CSV)

Export canonical projects

Use baselode.export to normalize serialization-sensitive values once and atomically write matching CSV/Parquet tables plus a manifest:

import baselode.export

manifest = baselode.export.write_project(
    {
        "collars": collars,
        "survey": survey,
        "assays": assays,
    },
    "output/my-project",
)

Known canonical identifiers such as hole_id, sample_id, and project_id are exported as nullable strings. Mixed object columns are string-normalized, nested values are JSON-encoded, and nulls remain null. Source-specific joins, filtering, and output policy belong in the calling adaptor or workflow.

Included in 0.1.0

  • Drillhole collar, survey, and assay models
  • Downhole interval structures
  • Basic validation utilities
  • Strip log visualisations
  • Map visualisations
  • 3D visualisations (requires the baselode javascript module from npm)

Design Principles

  • Explicit domain models (not generic tables)
  • Minimal dependencies
  • Visualisation tooling as key to data analysis
  • Designed for integration with analytics, GIS, and AI systems

Roadmap

Future releases may include:

  • Assay and lithology schemas
  • Geospatial helpers
  • Interoperability with common mining formats
  • Visualization adapters

License

GNU General Public License v3.0 or later (GPL-3.0-or-later).

See the LICENSE file in this repository for full details.

Contributing

Contributions and issue reports are welcome via GitHub.

Project links

Data verified by PyPI on Aug 16, 2026
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Key dates

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  • Released:
Newer release available (0.1.55)

1 maintainer

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Avatar for tamaravasey from gravatar.com tamaravasey

Credits

Author: Tamara Vasey

Maintainer: Darkmine Pty Ltd

GitHub Statistics

Data verified by PyPI on Aug 16, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

GPL-3.0-or-later
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Requires

Python >=3.12

Provides Extra

viz sql las api omf test all

Classifiers

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