Skip to main content

Rocket simulator

Project description

Machwave

Machwave is a Python library for chemical propulsion simulation. The library makes it easy to model solid or biliquid rocket engines, analyse performance and integrate the results into trajectory simulations.

Getting Started

Installation

Install Machwave using pip:

pip install machwave

macOS prerequisite: gfortran

Machwave depends on rocketcea, which does not publish macOS wheels on PyPI. On macOS, pip therefore builds rocketcea from source and needs a Fortran compiler. Homebrew's gcc formula installs only versioned binaries (e.g. gfortran-15), so an unversioned gfortran symlink must be added to PATH before pip install machwave:

brew install gcc
ln -sf "$(ls "$(brew --prefix)"/bin/gfortran-* | sort -V | tail -n 1)" "$(brew --prefix)/bin/gfortran"

Linux and Windows users do not need this step — rocketcea ships prebuilt wheels for those platforms.

Documentation

The full documentation is available at felipebogaertsm.github.io/machwave.

Development Setup

If you're contributing to Machwave, you'll need uv for dependency management.

Installing uv

macOS / Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

For more details, visit the official uv installation guide.

Clone and Install

Clone the repository and install dependencies:

git clone https://github.com/felipebogaertsm/machwave.git
cd machwave
make install

Publishing a New Release

  1. Create a release on GitHub with a tag matching vX.Y.Z (e.g. v1.2.0). The version is derived automatically from the git tag.

  2. The publish workflow builds the package and publishes it to PyPI via trusted publishing (OIDC).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

machwave-0.8.1.tar.gz (571.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

machwave-0.8.1-py3-none-any.whl (141.1 kB view details)

Uploaded Python 3

File details

Details for the file machwave-0.8.1.tar.gz.

File metadata

  • Download URL: machwave-0.8.1.tar.gz
  • Upload date:
  • Size: 571.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for machwave-0.8.1.tar.gz
Algorithm Hash digest
SHA256 0bc8a4b33d7788ad2f6b3f67eae5563b21c23d6f51bd6833843dcfef9ce0649e
MD5 42b9d6ca9689a4855af727be338634b2
BLAKE2b-256 e264e32e54af7bd6ba5cb032c7f8a9dd86d7360aa85a4a18dbcf301ff50568e0

See more details on using hashes here.

Provenance

The following attestation bundles were made for machwave-0.8.1.tar.gz:

Publisher: publish.yml on felipebogaertsm/machwave

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file machwave-0.8.1-py3-none-any.whl.

File metadata

  • Download URL: machwave-0.8.1-py3-none-any.whl
  • Upload date:
  • Size: 141.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for machwave-0.8.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bab89f39442b02a0225ac0d4f9733205cab611af9c6f9ceb23152529c587415c
MD5 3766784c93ff65fd5683e70840b91393
BLAKE2b-256 db5b6ee01e32f77b84ff5e61f1119c6a0b7605dd0a7c2921f84b7932174bef2a

See more details on using hashes here.

Provenance

The following attestation bundles were made for machwave-0.8.1-py3-none-any.whl:

Publisher: publish.yml on felipebogaertsm/machwave

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page