Metadata-Version: 2.4
Name: psair
Version: 0.0.1a2
Summary: Python Scaffolding for Analysis Itineraries in Research (PSAIR).
Author: Nick McCloskey
License: MIT
Project-URL: Repository, https://github.com/nmccloskey/PSAIR
Project-URL: Issues, https://github.com/nmccloskey/PSAIR/issues
Keywords: research,analysis,pipeline,nlp,linguistics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE.txt
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Dynamic: license-file

# PSAIR - Python Scaffolding for Analysis Itineraries in Research

**Status:** Early-stage, active development (version 0.0.1a2).  
**Stability:** APIs and module structure are subject to significant change.  
**Intended Audience:** Developers and researchers working with CLATR- or ALASTR-like tools.

PSAIR is an experimental backend architecture intended to support structured data handling, exploratory data analysis, and scalable workflow orchestration across CLATR-style (linguistic) pipelines. At present, it functions as a staging environment for prototyping generalized utilities for later integration.

## Key Principles
- **Modularity:** Components are being designed to operate independently or as plug-ins to downstream analysis systems.
- **Generalization:** PSAIR will evolve into a domain-agnostic backend for linguistic datasets.
- **Refactor-Friendly:** Expect reorganizations, renamings, and experimental interfaces.

## Current State
PSAIR is **not** ready for field use (no CLI function yet).  
Documentation will expand once the core architecture stabilizes.  
Issues and pull requests are welcome, but major revisions are expected.

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For clinical aphasiology workflows, please refer to the actively developed ALASTR system.
