definers 2.0.0

A comprehensive Python toolkit for AI, data processing, media manipulation, and system utilities.

Definers

Definers is a modular Python platform for teams that build AI, media, and data products and want one serious codebase instead of a pile of disconnected utilities.

It brings together workflow-grade audio, text, image, video, data preparation, runtime compatibility, and launcher surfaces behind a concrete module structure that is designed to stay credible under real project pressure.

What Definers Is Built For

• Shipping AI and media workflows without rewriting the surrounding infrastructure every time the stack changes.
• Keeping CPU-only environments usable while still unlocking GPU-backed acceleration where the runtime can support it.
• Giving teams one place for preparation, inference, automation, and runtime.

Capability Areas

• Audio workflows for mastering, stems, analysis, cleanup, and generation.
• Data workflows for preparation, tokenization, vectorization, and dataset assembly.
• ML workflows for text processing, guided and advanced training inside the train workbench, inference, and retrieval-oriented features.
• Image and video workflows for generation, composition, enhancement, and rendering.
• System and runtime workflows for installation, process control, download handling, and compatibility.
• Focused launcher surfaces for domain-specific applications instead of a single overloaded interface.

Architecture Direction

• The repository is standardizing on feature-owned packages instead of broad routing layers.
• import definers is a stable lazy discovery surface, not a signal to eagerly import every optional runtime.
• Package facades such as definers.data, definers.chat, definers.text, and definers.media stay lazy discovery surfaces, while implementation work belongs in concrete owner modules.
• CLI, launcher, and download behavior are being tightened around explicit contracts so runtime behavior stays predictable in local, CI, and hosted environments.

Documentation

• Start with docs/README.md.
• Installation and first-run guidance lives in docs/getting-started/installation.md and docs/getting-started/quickstart.md.
• Runtime compatibility guidance lives in docs/runtime/numpy-cupy-compat.md.
• Capability guides are grouped under docs/capabilities.
• CLI and package reference notes live under docs/reference.

Project Standards

• Python support targets 3.10 through 3.14.
• The package is structured to keep runtime policy, optional dependencies, and user-facing launchers explicit.
• Contributor workflow and validation guidance live in CONTRIBUTING.md.

License

Definers is licensed under the MIT License. See LICENSE.