Metadata-Version: 2.4
Name: akriti
Version: 0.0.0
Summary: Statistically grounded topological data analysis for Python (in development).
Project-URL: Homepage, https://akriti.io
Project-URL: Repository, https://github.com/akritihq/akriti
Author-email: Sushovan Majhi <hello@akriti.io>
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: persistence diagrams,persistent homology,statistics,topological data analysis
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.10
Description-Content-Type: text/markdown

# Akriti

**Statistically grounded topological data analysis for Python.** Placeholder
release — the library is under active development.

Akriti is a coherent entry point to TDA in Python: it delegates persistence
computation to established engines (GUDHI, Ripser) and provides the statistical
inference layer — hypothesis testing, effect sizes, and sample-size calculation
for persistence diagrams.

- Homepage: https://akriti.io
- Source: https://github.com/akritihq/akriti

Apache-2.0.
