TransiFlow

Spec sheet

Purpose

TransiFlow is a Python package for analyzing transitions in fluid flows.Read 11 Oct 2026 · transiflow.readthedocs.io

Intended users

PyPI classifies the package for developers and science or research, and describes its topic as scientific and engineering software.Read 11 Oct 2026 · pypi.org

Free plan

YesRead 24 Sep 2026 · transiflow.readthedocs.io

License

PyPI lists the package under Apache License 2.0.Read 11 Oct 2026 · pypi.org

3D visuals

YesRead 24 Sep 2026 · transiflow.readthedocs.io

Authoring tools

YesRead 24 Sep 2026 · transiflow.readthedocs.io

Backend choice

The package supports SciPy, Epetra, HYMLS, and PETSc computational backends.Read 11 Oct 2026 · transiflow.readthedocs.io

Backend limits

The Epetra and PETSc backends lack a parallel preconditioner and eigenvalue solver, so the documentation says they cannot solve large problems.Read 11 Oct 2026 · transiflow.readthedocs.io

Backends

The default SciPy backend is feature complete and suited to model development and problems with fewer than 1 million unknowns.Read 11 Oct 2026 · transiflow.readthedocs.io

Continuation

It implements pseudo-arclength continuation with adaptive arclength step size for computing bifurcation diagrams.Read 11 Oct 2026 · github.com

Custom models

Users can add custom boundary conditions, and the documentation describes adding custom models and backends.Read 11 Oct 2026 · transiflow.readthedocs.io

Delivery mode

desktopRead 24 Sep 2026 · transiflow.readthedocs.io

Distribution

The package is installable from PyPI with pip and is also available from its source repository for editable installation.Read 11 Oct 2026 · pypi.org

Eigenvalue dependency

The PyPI project page says JaDaPy must be installed or included in PYTHONPATH to compute eigenvalues.Read 11 Oct 2026 · pypi.org

Eigenvalues

It provides an interface to JaDaPy for computing eigenvalues that can help detect bifurcation points; JaDaPy must be installed separately or included in PYTHONPATH.Read 11 Oct 2026 · github.com

Example problems

Documented problem examples include lid-driven cavity, Rayleigh-Bénard convection, Taylor-Couette flow, and Atlantic Meridional Ocean Circulation.Read 11 Oct 2026 · transiflow.readthedocs.io

Installation

The project README describes installing TransiFlow in a Python virtual environment and running its examples from the source directory.Read 11 Oct 2026 · github.com

Lesson library

NoRead 24 Sep 2026 · transiflow.readthedocs.io

Numerical methods

It implements pseudo-arclength continuation, implicit time integration, and finite-volume discretizations.Read 11 Oct 2026 · transiflow.readthedocs.io

Other backend limits

The Epetra and PETSc backends lack a parallel preconditioner or eigenvalue solver and are stated as unsuitable for solving large problems.Read 11 Oct 2026 · transiflow.readthedocs.io

Parallel backend

The HYMLS backend is intended for large-scale parallel computations and is reported to have scaled to 4096 cores and over 500 million unknowns.Read 11 Oct 2026 · transiflow.readthedocs.io

Parallel computing

The HYMLS backend is intended for large parallel computations and its preconditioner is documented as scaling to 4096 cores and over 500 million unknowns.Read 11 Oct 2026 · transiflow.readthedocs.io

Problem examples

Documented examples cover lid-driven and differentially heated cavities, Rayleigh-Bénard convection, Taylor-Couette flow, double-gyre circulation, and Atlantic Meridional Ocean Circulation.Read 11 Oct 2026 · transiflow.readthedocs.io

Release publishing

PyPI reports that the 1.0.1 release was published through GitHub Actions with a verified publish attestation.Read 11 Oct 2026 · pypi.org

SciPy limit

The default SciPy backend is described as suitable for small problems with fewer than 1 million unknowns.Read 11 Oct 2026 · transiflow.readthedocs.io

Time integration

The package supports time integration, including implicit time integration methods.Read 11 Oct 2026 · transiflow.readthedocs.io

Where Specifiction places it

• Physics Simulation Software#55 of 897.5