Trixi Framework

The Trixi framework is a collaborative scientific effort to provide open source tools for adaptive high-order numerical simulations of hyperbolic PDEs in Julia. Besides the core algorithms, the framework also includes mesh and visualization tools. Moreover, it includes utilities such as Julia wrappers of mature libraries written in other programming languages.

This page gives an overview of the different activities that, together, constitute the Trixi framework on GitHub.

  1. Adaptive high-order numerical simulations of hyperbolic PDEs
  2. Mesh generation
  3. Additional packages
  4. Publications
  5. Talks
  6. Authors
  7. Get in touch!

Adaptive high-order numerical simulations of hyperbolic PDEs

Mesh generation

Additional packages


The following publications make use of Trixi.jl or one of the other packages listed above. Author names of Trixi's main developers are in italics.



Michael Schlottke-Lakemper (University of Stuttgart, Germany), Gregor Gassner (University of Cologne, Germany), Hendrik Ranocha (University of Münster, Germany), Andrew Winters (Linköping University, Sweden), and Jesse Chan (Rice University, US) are the principal developers of Trixi.jl. David A. Kopriva (Florida State University, US) is the principal developer of HOHQMesh and HOHQMesh.jl. For a full list of authors, please check out the respective packages.

Get in touch!

There are a number of ways to reach out to us: