semvec/pypi-packages huggingface dataset:
easyclimate-rust 2026.1.0
The rust backend of easyclimate
Requires Python: >=3.10

<img src="https://github.com/shenyulu/easyclimate-rust/blob/main/docs/source/_static/logo1.svg?raw=true" alt="easyclimate-rust">

<h2 align="center">The backend of easyclimate</h2>

<p align="center">
<a href="https://easyclimate-rust.readthedocs.io/en/latest/"><strong>Documentation</strong> (latest)</a> •
<a href="https://easyclimate-rust.readthedocs.io/en/main/"><strong>Documentation</strong> (main branch)</a> •
<a href="https://shenyulu.github.io/easyclimate-rust/"><strong>Documentation</strong> (Dev)</a> •
<a href="https://shenyulu.github.io/easyclimate-rust/src/contributing.html"><strong>Contributing</strong></a>
</p>


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<div align="center">
<center>English / <a href = "readme/README_zh_CN.md">简体中文</a> / <a href = "readme/README_ja_JP.md">日本語</a></center>
</div>


## 🤗 What is easyclimate-rust?

The easyclimate-rust is a high-performance Rust library designed to handle the heavy lifting for [easyclimate](https://github.com/shenyulu/easyclimate), 
allowing the front-end package to offer a user-friendly interface for climate analysis. By leveraging Rust's speed, memory safety, and zero-cost abstractions, 
easyclimate-rust ensures that even the most computationally intensive tasks are managed seamlessly and efficiently.



>   🚨 **This package is still undergoing rapid development.** 🚨
>
>   All of the API (functions/classes/interfaces) is subject to change. 
>   There may be non-backward compatible changes as we experiment with new design ideas and implement new features. 
>   This is not a finished product, use with caution.

## 😯 How to install?

The `easyclimate-rust` package can be installed using Python package installer [pip](https://pip.pypa.io/en/stable/getting-started/).

```
pip install easyclimate-rust
```

## ✨ Requires

- python >= 3.10
- Numpy >= 1.24.3 (Required only for run the wheel)

## 🪐 Open Source Software Statement

Please refer to the [document](https://easyclimate-backend.readthedocs.io/en/latest/src/softlist.html).
dqtrader 0.0.31
DQT Python 工具箱

DQT（Decentralized Quantitative Trading System）是一款分布式量化投研实践系统，面向经管类、统计类、数学类等专业，进行量化研究和量化投资实践，同时也可用于为量化投研团队提供功能完备，业务组件的二次开发准量化系统。