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
trainworkbench, 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 definersis a stable lazy discovery surface, not a signal to eagerly import every optional runtime.- Package facades such as
definers.data,definers.chat,definers.text, anddefiners.mediastay 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.
1 maintainer
Metadata
1 maintainer
Release files for definers 2.0.0
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Total release size: 1.1 MB
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