Metadata-Version: 2.3
Name: almanack
Version: 0.1.7
Summary: An open-source handbook of applied guidance and tools for sustainable software development and maintenance.
License: BSD-3-Clause
Author: Software Gardening Community
Requires-Python: >=3.9.2,<3.14
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
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Description-Content-Type: text/markdown

<img width="500" src="https://raw.githubusercontent.com/software-gardening/almanack/main/src/book/assets/software-gardening-almanack-logo.png?raw=true">

# The Software Gardening Almanack

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The Software Gardening Almanack is an open-source handbook of applied guidance and tools for sustainable software development and maintenance.

The project entails two primary components:

- The __Almanack handbook__: the content found here helps educate, demonstrate, and evolve the concepts of sustainable software development.
- The __`almanack` package__: is a Python package which implements the concepts of the book to help improve software sustainability by generating organized metrics and running linting checks on repositories. The Python package may also be used as a [pre-commit hook to check](#pre-commit-hook) repositories for best practices.

Please see our [pavilion section of the book](https://software-gardening.github.io/almanack/garden-circle/pavilion.html) for presentations and other related materials for the Almanack.

## Handbook

- __Online (HTML)__: https://software-gardening.github.io/almanack/
- __Offline (PDF)__: [software-gardening-almanack.pdf](https://software-gardening.github.io/almanack/software-gardening-almanack.pdf)

## Package

### Install

You can install the Almanack with the following:

```bash
# install from pypi
pip install almanack

# install directly from source
pip install git+https://github.com/software-gardening/almanack.git
```

Once installed, the Almanack can be used to analyze repositories for sustainable development practices.
Output from the Almanack includes metrics which are defined through `metrics.yml` as a Python dictionary (JSON-compatible) record structure.

### Command-line Interface (CLI)

You can use the Almanack package as a command-line interface (CLI):

```bash
# generate a table of metrics based on a repository
almanack table path/to/repository

# perform linting-style checks on a repository
almanack check path/to/repository
```

### Pre-commit Hook

We provide [pre-commit](https://pre-commit.com/) hooks to enable you to run the Almanack as part of your automated checks for developing software projects.
Add the following to your [`pre-commit-config.yaml`](https://pre-commit.com/#2-add-a-pre-commit-configuration) in order to use the Almanack.

For example:

```yaml
# include this in your pre-commit-config.yaml
- repo: https://github.com/software-gardening/almanack
    rev: v0.1.1
    hooks:
    - id: almanack-check
```

### Python API

You can also use the Almanack through a Python API:

For example:

```python
import almanack
import pandas as pd

# gather the almanack table using the almanack repo as a reference
almanack_table = almanack.table("path/to/repository")

# show the almanack table as a Pandas DataFrame
pd.DataFrame(almanack_table)
```

### Example notebook

Please see [this example notebook](https://software-gardening.github.io/almanack/seed-bank/almanack-example/almanack-example.html) which demonstrates using the Almanack package.

## Contributing

Please see our [`CONTRIBUTING.md`](CONTRIBUTING.md) document for more information on how to contribute to this project.

## Acknowledgements

This work was supported by the Better Scientific Software Fellowship Program, a collaborative effort of the U.S. Department of Energy (DOE), Office of Advanced Scientific Research via ANL under Contract DE-AC02-06CH11357 and the National Nuclear Security Administration Advanced Simulation and Computing Program via LLNL under Contract DE-AC52-07NA27344; and by the National Science Foundation (NSF) via SHI under Grant No. 2327079.

