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nasa / cea

git clone https://github.com/nasa/cea.git v3.3.4 · 1mo ago 🔥 on GitHub Trending today

Computes chemical equilibrium compositions of mixtures by free-energy minimization, plus thermodynamic and transport properties of the products.

Why you might care

NASA's CEA re-implemented as a modern codebase with a Python package (import cea), C/Fortran APIs, and a database of over 2000 species with thermo curve fits. Suited to rocket performance, Chapman-Jouguet detonation, and shock-tube calculations; the core has no external dependencies.

Categories

Alternatives

CanteraNASA CEA legacy (FORTRAN)RocketCEA
+1
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+~7
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stars, 30 days · #22,035
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★ total · +3% this week
41
forks · 14 open issues

Star history (as recorded here)

2026-10-22 · 216 ★ 2026-10-23 · 217 ★
LanguageFortran
LicenseApache-2.0
Created2025-12-22 (10mo ago)
Last push27d ago
Watchers11
OwnerOrganization

Seen on GitHub Trending

  • 2026-10-23 — #8 monthly in fortran · +21 ★
  • 2026-10-22 — #8 monthly in fortran · +22 ★

GitHub topics

Links

README excerpt
# CEA (Chemical Equilibrium with Applications)
A modernized version of NASA's Chemical Equilibrium with Applications.
Online documentation and examples are located at 
## Overview
The NASA software package CEA (Chemical Equilibrium with Applications) enables
the rapid solution of chemical equilibrium problems for complex mixtures.
The core solver computes equilibrium product concentrations given a set
of reactants and thermodynamic states. These product concentrations are then
used to compute the thermodynamic and transport properties of the equilibrium
mixture. Applications include estimation of theoretical rocket performance,
Chapman-Jouguet detonation characteristics, and shock-tube parameters for
incident and reflected shocks. Associated with the program are independent
databases with transport and thermodynamic properties of individual species. Over
2000 species are contained in the thermodynamic database.
This software repository is a complete re-implementation of the original CEA
software, with initial development supported by the NASA Engineering & Safety
Center (NESC). The software represents the latest evolution of a series of
computer programs that developed at the NASA Glenn (formerly Lewis) Research
Center since the 1950s. The primary goals of the re-implementation were to modernize
the CEA code base to adopt modern software engineering practices and improve
CEA's ability to interface with other software packages and analysis environments
via well-defined programming APIs in multiple languages.
## Install (Recommended)
For most users, install the published Python package directly:
 python -m pip install cea
This is the fastest path to start using the Python API (`import cea`) without
building from source.
The Python package requires Python 3.11 or newer.
If you need the legacy CLI executable (`cea`) or C/Fortran build artifacts, use
the source build path below.
Prebuilt release assets are also available on the GitHub Releases page,
including platform executables and shared libraries (`.so`, `.dll`, `.lib`,
`.dll.a`).
## Build and Install from Source
The CEA software package is compiled and installed using CMake v3.19+. The core
software has no external dependencies, and is known to build successfully on a
wide range of platforms and using the Intel and GNU Fortran compilers. The basic
installation process is as follows:
 cd 
 mkdir build && cd build
 cmake -DCMAKE_INSTALL_PREFIX= -DCEA_BUILD_TESTING=OFF ..
 cmake --build .
 cmake --install .
This will build and install the `cea` executable, `libcea` library, default
thermodynamic and transport property databases, documentation, and sample
problems to the user-specified `cea_install_dir`.
Upon installation, all that is required to use the `cea` applications is to add
the CEA install directory to the user's `PATH` environment variable, e.g.:
 export PATH=" /bin:$PATH"
Once properly configured, you should be able to run the provided sample problems
from any working directory as follows:

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