This release is a pre-release and may not be stable for production use.
ml-pipes
ml-pipes is the umbrella install package for the ml-pipes framework. It
installs ml-pipes-core by default and uses extras to pull in additional
framework packages.
After installation, import the component modules you use, such as
ml_pipes.core, ml_pipes.tensor, ml_pipes.vision, ml_pipes.onnx, or
ml_pipes.torch. See the main project docs and examples for the broader
framework usage model.
Example:
pip install 'ml-pipes[onnx,vision]'
This installs the ONNX and vision package chain while keeping imports component-scoped:
from ml_pipes.core import Pipeline
from ml_pipes.onnx import Infer
from ml_pipes.vision import Resize
Inspection installs compose the same way. Use ml-pipes[inspection] for the
shared renderers, then add the package profiles whose pipelines you want
specialized inspection output for, such as ml-pipes[inspection,onnx,vision].
Optional installs are requested through the umbrella package name. For
example, install OpenTelemetry support with pip install 'ml-pipes[otel]',
not with nested extra syntax such as ml-pipes[core[otel]].
For existing install profiles, the package matrix, and the public component import model, see the package guide.
1 maintainer
Release files for ml-pipes 0.1.1rc1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_pipes-0.1.1rc1.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_pipes-0.1.1rc1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 kB
Release files / ml_pipes-0.1.1rc1.tar.gz
| Download URL | ml_pipes-0.1.1rc1.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
|
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Release files / ml_pipes-0.1.1rc1-py3-none-any.whl
| Download URL | ml_pipes-0.1.1rc1-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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