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
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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ml_pipes-0.1.0rc2.tar.gz.
File metadata
- Download URL: ml_pipes-0.1.0rc2.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d37e32f5dcd0a014a026f688f51675aa15ef345ba9ba614ff3490414c24de6a7
|
|
| MD5 |
6f5af7dc3e62c00aa8d967675381c082
|
|
| BLAKE2b-256 |
1520ff73450ae117306c90974413d3116399ffd9e8a20a747e084d1e6a44b47d
|
File details
Details for the file ml_pipes-0.1.0rc2-py3-none-any.whl.
File metadata
- Download URL: ml_pipes-0.1.0rc2-py3-none-any.whl
- Upload date:
- Size: 5.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bec8df054a8a14d69f6cb3e22448dd2227f381a271584d217a1d0f9fee844251
|
|
| MD5 |
0fb1c76ab9c8303a5640f97c23e31ce3
|
|
| BLAKE2b-256 |
d8ceaf3deb5e63f842be1385c5ebe9a07626098700e221cc8b1b09b5714cf8af
|