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-0.9.0.tar.gz (583.3 kB view details)

Uploaded Source

Built Distribution

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

machwave-0.9.0-py3-none-any.whl (150.3 kB view details)

Uploaded Python 3

File details

Details for the file machwave-0.9.0.tar.gz.

File metadata

  • Download URL: machwave-0.9.0.tar.gz
  • Upload date:
  • Size: 583.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for machwave-0.9.0.tar.gz
Algorithm Hash digest
SHA256 539328fba68241f9b6689054d3601f8da21f21bafc9dd96eed16fde185ecea36
MD5 ca268bb82004830a518640a6094272c1
BLAKE2b-256 6cdb5d9b2e6498d53ae0c0ff36fa108dffd9f5c41fe20ec8c7cc0b7cd8b5588e

See more details on using hashes here.

Provenance

The following attestation bundles were made for machwave-0.9.0.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-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: machwave-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 150.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for machwave-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 95ee12dc361361f37d891264910ce2763320638a93feb36e900e64847553052f
MD5 f0c415b5f706001a978ee3b9022b2023
BLAKE2b-256 0d5cf7729d1043261b4df45464df186c0c71f72069b0921ec894d8dcde614daf

See more details on using hashes here.

Provenance

The following attestation bundles were made for machwave-0.9.0-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