phylogenetic 0.1.1

Short install name for the full Bijux phylogenetics runtime, CLI, and comparative-analysis workflows.

phylogenetic

Compatibility alias package for bijux-phylogenetics.

This distribution installs the canonical phylogenetics runtime under the shorter phylogenetic package and CLI names. It is not a reduced runtime and it is not a fork. It points at the same benchmark, workflow, and reporting surfaces that the canonical package publishes.

The full handbook includes diagrams and architecture maps on the documentation site. This PyPI page stays text-first so it renders cleanly in the package index.

Install

phylogenetic supports Python 3.11 and newer.

python3.11 -m pip install phylogenetic
phylogenetic --help

What You Still Get

Capability family	What carries through the alias
Trees and alignments	inspection, validation, comparison, and preparation workflows
Native runtime	native likelihood and native inference surfaces
Comparative analysis	comparative and ancestral workflows
Reporting	benchmark, workflow, and reporting surfaces
External engines	governed wrapper-backed external-engine workflows

What The Alias Does Not Change

• it does not remove native inference surfaces
• it does not remove comparative, ancestral, or parsimony families
• it does not change the evidence-book or quality reading model
• it does not publish a smaller scientific contract than the canonical package

Choose this package when you want the shorter install and command names while keeping the same public runtime contract.

Choose the canonical bijux-phylogenetics package instead when you want the most explicit package name for notebooks, papers, release notes, or downstream documentation.

Trust And Evidence

The alias changes naming, not scientific scope. Runtime breadth, benchmark surfaces, and evidence-book boundaries all come from the canonical runtime and documentation set.

Read Next

• Runtime product guide
• Runtime architecture
• Surface selection guide
• Artifact consumption guide
• Native Inference And Benchmark Surfaces
• Native maximum-likelihood workflows
• Native Bayesian workflows
• Native benchmark review
• Release review workflow
• Evidence-book guide
• Canonical runtime package on GitHub