aiclimate
A CLI tool that scaffolds Python ML/data science projects for AI in climate and environmental sciences research.
Built by AI for Climate and Environmental Sciences.
Quick Start
# Install with uv
uv tool install aiclimate
# Scaffold a new project (interactive)
aiclimate
# Or use with an external cookiecutter template
aiclimate gh:user/template
What You Get
When you run aiclimate, you'll be prompted for project details and then a complete project is scaffolded:
my-climate-ai-project/
├── pyproject.toml # uv-compatible, with ML + climate deps
├── justfile # Task runner recipes
├── .python-version
├── .gitignore
├── README.md
├── .github/workflows/ci.yml
├── configs/
│ └── default.yaml # Experiment configuration
├── data/
│ ├── raw/ # Original, immutable data
│ ├── processed/ # Cleaned and transformed data
│ └── external/ # Third-party data sources
├── experiments/ # Experiment outputs and logs
├── models/ # Trained model checkpoints
├── notebooks/
│ └── 01_exploration.ipynb
├── src/<package_name>/
│ ├── __init__.py
│ ├── config.py # Configuration loading
│ ├── train.py # Training entrypoint
│ ├── evaluate.py # Evaluation entrypoint
│ └── predict.py # Inference entrypoint
└── tests/
└── test_placeholder.py
Template Variables
| Variable | Description | Default |
|---|---|---|
project_name |
Human-readable project name | My Climate AI Project |
project_slug |
Directory name (auto-generated) | my-climate-ai-project |
package_name |
Python package name (auto-generated) | my_climate_ai_project |
project_description |
Short project description | ... |
author_name |
Your name | Your Name |
author_email |
Your email | ... |
python_version |
Python version | 3.12 |
ml_framework |
ML framework (pytorch/tensorflow/jax/none) | pytorch |
include_dvc |
Include DVC for data versioning | no |
license |
License type | MIT |
Default Dependencies
Projects come pre-configured with common climate/environmental AI packages:
- Data: numpy, pandas, xarray, netCDF4, scipy
- ML: scikit-learn + your choice of pytorch/tensorflow/jax
- Visualization: matplotlib, seaborn
- Utilities: pyyaml, tqdm, loguru
- Dev tools: pytest, ruff, jupyter
Backward Compatibility
aiclimate is built on the cookiecutter engine and can use any existing cookiecutter template:
aiclimate gh:audreyfeldroy/cookiecutter-pypackage
Development
# Clone and install
git clone https://github.com/aiclimate/aiclimate.git
cd aiclimate
uv sync
# Run tests
just test-all
# Lint
just lint-check
License
BSD-3-Clause
Metadata
Release files for aiclimate 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| aiclimate-0.1.0.tar.gz | 234.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aiclimate-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 282.7 kB
Release files / aiclimate-0.1.0.tar.gz
| Download URL | aiclimate-0.1.0.tar.gz |
|---|---|
| Size | 234.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
17825b430183f18acc96633f1028156f00e999293f0f990b721aebcfc80e2cd2
|
|
BLAKE2b-256 checksum How to use checksums |
130d30d0f736586d27b9b92aeef71a6ac2cca13cdcd707b51970b58609dbbac9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.6.10
|
Release files / aiclimate-0.1.0-py3-none-any.whl
| Download URL | aiclimate-0.1.0-py3-none-any.whl |
|---|---|
| Size | 47.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
79a5b83bf5bc048951cef35196960651ff9bfb21d16298a91516cc3efd897ed5
|
|
BLAKE2b-256 checksum How to use checksums |
b0612983e9dc0fe24cb56defb5c045fdb893810d62bd59b9e145bfc000dc7757
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.6.10
|
Security for aiclimate 0.1.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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