ARTI

The project behind the guides

Release and support.

The public package, implementation revision, component lifecycle and qualified workflow boundaries.

01 / PUBLIC PACKAGE

ARTI 3.3.0

The guides use a pinned package snapshot. Individual neural components retain their own contract versions and lifecycle status.

python -m pip install "arti-fit==3.3.0"
Distribution
arti-fit
Python import
arti
Requirements
Python ≥ 3.10 · PyTorch ≥ 2.2

02 / INCLUDED SURFACE

From numerical programs to native tasks.

These are documented entrances in the pinned public package. Select the scope your application uses and verify its own model and data.

Neural programs

Typed Formula programs, named resource graphs and configured host integration, with explicit parameter and state ownership.

Program guide

Native task lifecycle

Custom scalar objectives, immutable assets, supported checkpoint recovery, committed prediction, independent evaluation and selected result export.

Task walkthrough

Native JAX / Flax

Optional native execution of the shared bounded/static IR, with array PyTrees and separate init/apply state contracts.

Backend scope

03 / SOURCE AND SCOPE

Inspect the release.

PyPI

Published version, distribution files and dependency metadata.

Package

GitHub

The exact public source for this package.

Source

Compatibility and lifecycle

Documented environments, component maturity and execution boundaries.

Scope