semvec/pypi-packages huggingface dataset:
eventimpact 0.1.0
Bayesian impact analysis for bounded events on time-series metrics.
Requires Python: >=3.7
Keywords: bayesian, promotion, impact, time-series, analytics

# EventImpact Python Library

A lightweight, production‑grade Python toolkit to quantify the impact of any bounded event
(e.g. limited‑time promotion, marketing campaign, feature release) on a time‑series metric.

---

## 📥 Installation

```bash
pip install eventimpact
```

## Interpretation
- The higher the **p_positive**, the more the evidence of a stronger effect.
- The **Immediate Effect** represents the immediate jump that occured in response to the event.
- The **Slope Effect** represents the after effect after the immediate jump. Did the effect sustain or was it weaker?
graphplotyt 1.4.1
Plot backtest graph
Requires Python: >=3.6

# graphplotyt

Plot graph for backtest

## Fully Supported Browsers:
1. Chrome (latest)
2. Firefox (latest)
3. Safari (macOS/iOS, latest)
4. Edge (Chromium-based)

Internet Explorer 11 (IE11):
Requires polyfills (limited functionality).
Not recommended for new projects.

Mobile Browsers:
Works on Chrome (Android) and Safari (iOS), but complex charts may need responsive design tweaks.


### Version 1.4.1 update 20250511
- Add save_backtest_df() for saving backtest result to 'backtest_output' folder

### Version 1.3.2 update 20250511
- Minor amendments

### Version 1.3.1 update 20250422
- Minor amendments

### Version 1.3.0 update 20250422
- Add 'Show All' button to show all equity curves
- Set buttons positions


## Installation
```bash
pip install graphplotyt