psychrometrics/psychrolib：📚 用于计算🌡️空气热力学性质的心理函数库，适用于Pyt

项目介绍

psychrometrics/psychrolib 是一个托管在 GitHub 上的开源项目，主要使用 C# 编写，采用 MIT License 许可证，目前获得 310 个 Star、70 次 Fork。

仓库全名: psychrometrics/psychrolib

README 摘要

PsychroLib Overview | Documentation | Installation | How to cite | Contributing | Development | Copyright and license | Acknowledgements Overview PsychroLib is a software library to enable the calculation of psychrometric properties of moist and dry air. Versions of PsychroLib are available for Python, C, C#, Fortran, R, JavaScript, Microsoft Excel Visual Basic for Applications (VBA). PsychroLib works in both metric…

完整内容见 GitHub 原始 README 或本页。

常见问题

psychrolib 用什么语言开发？

主要使用 C# 编写，采用 MIT License 许可证，目前有 310 个 Star。

psychrolib 可以免费商用吗？

如何获取 psychrolib 的源码？

可以直接克隆仓库：git clone https://github.com/psychrometrics/psychrolib.git，默认分支为 master；安装与运行步骤见仓库 README。

psychrolib 最近还在维护吗？

仓库最近一次更新为 2023年1月6日，当前有 14 个未关闭 Issue；Star 数为 310，可作为社区活跃度的参考。

关于

GitHub 原始描述（英文）

📚 Library of psychrometric functions to calculate 🌡️ thermodynamic properties of air for Python, C, C#, Fortran, R, JavaScript and VBA/Excel

ashrae c csharp dew-point-temperature engineering excel fortran humidity hvac javascript meteorology moist-air net pressure psychrometrics python relative-humidity temperature thermodynamic-properties vba

MIT License
310 Stars
70 Forks
15 Watching

描述取自 GitHub 官方 API，保持仓库作者书写的原文。

简要分析

热度分

465

价值分

207

活跃状态

活跃

GitHub

语言占比

Batchfile

Fortran

JavaScript

Python

TeX

VBA

Release

2.5.02020年4月12日
2.4.02020年3月12日
2.3.02019年11月22日
2.2.02019年11月5日
2.1.12019年8月8日

贡献者

6nv

PsychroLib

Overview

PsychroLib is a software library to enable the calculation of psychrometric properties of moist and dry air. Versions of PsychroLib are available for Python, C, C#, Fortran, R, JavaScript, Microsoft Excel Visual Basic for Applications (VBA). PsychroLib works in both metric (SI) and imperial (IP) systems of units. For a general overview and a list of currently available functions, please see the overview page.

Documentation

Please see the Python API documentation for the common API across all the supported language implementations. In Python, array support and improved runtime performance can be optionally enabled by installing Numba. In R (1) constants, like ZERO_FAHRENHEIT_AS_RANKINE are not exported (i.e. not directly accessible to users), (2) functions accept a vector, not a scalar (3) bulk calculations, like CalcPsychrometricsFromRelHum return a list.

Examples on how to use PsychroLib in all the supported languages are described in this guide.

Installation

Python: from the Python Package Index (PyPI). Numba can be optionally installed to enable array support and faster runtime performance.
C# (.NET): from the NuGet package manager or clone the repository, and bundle according to your requirements.
C, Fortran and JavaScript: clone the repository, and bundle according to your requirements.
VBA/Excel: download the ready-made spreadsheets from the release tab.
R: from the Comprehensive R Archive Network (CRAN).

How to cite

When using PsychroLib, please cite the software summary paper and software version using the following Digital Object Identifiers (DOIs) to generate citations in your preferred style:

Software summary paper	Software version*

*please make sure to cite the same version you are using with the correct DOI. For a list of all available versions see see more on Zenodo.

Contributing

If you are looking to contribute, please read our Contributors’ guide for details.

Development

If you would like to know more about specific development guidelines and testing, please refer to our development notes.

Copyright and license

Software licensed under the MIT License.

Acknowledgements

Special thanks to:

@tom– for his suggestions with the original JavaScript library implementation
@DJGosnell for the C# port.
@hongyuanjia and @banfelder for the R port.

For the full list of contributors, please see the contributors page.

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