Metadata-Version: 2.4
Name: flasheda
Version: 0.1.3
Summary: Constant-time EDA for any dataset size — one line, fixed time.
Home-page: https://github.com/sjapanjots/flasheda
Author: Japanjot Singh
Author-email: sjapanjots@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas>=1.3.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: scipy>=1.7.0
Requires-Dist: rich>=12.0.0
Requires-Dist: jinja2>=3.0.0
Requires-Dist: matplotlib>=3.4.0
Requires-Dist: fpdf2>=2.7.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# ⚡ FlashEDA

Constant-time Exploratory Data Analysis — one line, fixed time, any dataset size.

## Install
```bash
pip install flasheda
```

## Usage
```python
import flasheda

report = flasheda.analyze(df)   # works on 1K or 50M rows in the same time
report.show()                   # rich console output
report.save_html("report.html") # browser report
```

## How it works
FlashEDA uses **reservoir sampling** to always analyse exactly 5,000 rows,
regardless of dataset size. All analyzers run in parallel via ThreadPoolExecutor.
