Domain-aware data models and utilities for exploration and mining datasets.
Project description
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)
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
baselodejavascript 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.
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