A lightweight Python library for modeling chemical mixtures.
Project description
EntroPy Sim
EntroPy Sim is a Python library for fast and simple simulations of chemical mixtures.
Background
A ton of thermodynamics and chemical libraries exist, but have the following issues:
- They are very large or have many large dependencies, preventing us from using them in a serverless environment
- They're suited for scripts and scientific analysis, but not use in a production application
- They don't have a very convenient API. For example, to use Cantera we have to write a YAML file that it can load in
- They're not written in Python, requiring a build step (usually a Python wrapper around C++). Our Cantera build usually takes 10 minutes to run
We wanted a library that has a well-designed Python API, is very small, and is suited to fast, approximate simulations.
Installation
pip install entropy-sim
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file entropy_sim-1.0.11.tar.gz.
File metadata
- Download URL: entropy_sim-1.0.11.tar.gz
- Upload date:
- Size: 20.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.12.9 Darwin/23.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0db43f8ab658746c6eb4704b62f6e095fae236668a2f02352761d07d3e99458e
|
|
| MD5 |
1ec33663784f7c43566b5535a9f21923
|
|
| BLAKE2b-256 |
3bb2f92b5ec5a7d0998680509387329aa40d1396c30ce98d1d157e0d6dfdccd5
|
File details
Details for the file entropy_sim-1.0.11-py3-none-any.whl.
File metadata
- Download URL: entropy_sim-1.0.11-py3-none-any.whl
- Upload date:
- Size: 31.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.12.9 Darwin/23.3.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e678ba12ebf29a28d63198e042a78bc8eea41cfb4b88e683c5148ac17d573b59
|
|
| MD5 |
30ca99679ef22997848d051784caf395
|
|
| BLAKE2b-256 |
6df4495ba0ded7082db35105e13fd681458ce2b09c6bac4e718033e4d90e8a85
|
