semvec/pypi-packages huggingface dataset:
ngr 0.0.1
Python interface for NGR (Next Generation Reporting)
License: MIT
Requires Python: >=3.9
Keywords: reporting, ngr, tables, plots

# ngr (Python)

Python interface for the **NGR** (Next Generation Reporting) R package.

Este subproyecto contiene la implementación en Python, instalable vía `pip`,
que irá replicando progresivamente la API del paquete NGR en R.

Para información general del proyecto consulta el README principal en `../README.md`.
pyfundlib 0.1.6
End-to-End Python Framework for Algorithmic Trading: Backtesting, ML Alpha, Live Execution & Automation
License: MIT
Requires Python: >=3.10

# PyFundLib ⚡

**The most powerful, modern, and production-ready Python framework for algorithmic trading & ML alpha**

From backtesting RSI mean-reversion to running 24/7 autonomous LSTM-powered live trading — all with a clean, type-annotated, zero-boilerplate API.

Built by a quant. For quants who refuse to compromise.

<p align="center">
  <a href="https://pypi.org/project/pyfundlib/"><img src="https://img.shields.io/pypi/v/pyfundlib?style=flat-square&color=blue" alt="PyPI"></a>
  <img src="https://img.shields.io/pypi/pyversions/pyfundlib?style=flat-square" alt="Python">
  <a href="https://github.com/Hima-D/pyfundlib/stargazers"><img src="https://img.shields.io/github/stars/Hima-D/pyfundlib?style=social" alt="Stars"></a>
  <a href="https://github.com/Hima-D/pyfundlib/blob/main/LICENSE"><img src="https://img.shields.io/github/license/Hima-D/pyfundlib?style=flat-square&color=green" alt="License"></a>
  <img src="https://img.shields.io/badge/status-Production%20Ready-success?style=flat-square" alt="Status">
</p>

<p align="center">
  <strong>Clean API • Institutional MLOps • Zero Boilerplate • Real Edge</strong>
</p>

## Why PyFundLib Dominates

| Feature                             | PyFundLib                                  | Backtrader • VectorBT • Others |
|-------------------------------------|--------------------------------------------|--------------------------------|
| Published on PyPI                   | Yes `pip install pyfundlib`                     | No                             |
| Modern `src/` layout + full typing  | Yes                                        | Rarely                         |
| Built-in ML (LSTM • XGBoost • RF)   | Yes Full pipelines + MLflow + versioning   | No                             |
| Multi-broker live execution         | Alpaca • Zerodha • IBKR • Binance          | Partial                        |
| Zstd Parquet caching + metadata     | Yes Automatic                              | No                             |
| One-liner equity curves & reports   | Yes Gorgeous out-of-the-box                | Manual                         |
| CLI + scheduler + auto-retrain      | Yes `pyfundlib live`                       | No                             |
| Dry-run by default                  | Yes No accidental nuclear launches        | Risky                          |

## Installation

```bash
pip install pyfundlib