Pipeline Toolkit
A small functional pipeline toolkit for Python.
pipeline-toolkit provides a simple way to build sequential pipelines from ordinary Python callables.
It also provides small utilities for composing functions, configuring callable steps, applying side effects, and managing pipeline state.
A pipeline is created from an iterable of steps. Each step is a tuple containing a callable and optional arguments.
from pipeline import Pipeline
def add(value, amount):
return value + amount
def multiply(value, factor):
return value * factor
pipeline = Pipeline([
(add, (5,)),
(multiply, (2,)),
])
pipeline.run(10).wait()
print(pipeline.result) # 30
The value flows through each step sequentially:
10
↓
add(10, 5)
↓
15
↓
multiply(15, 2)
↓
30
See the API Reference for detailed documentation.
Copyright (C) 2026 Hoàng Long
1 maintainer
Metadata
1 maintainer
Release files for pipeline-toolkit 0.6.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pipeline_toolkit-0.6.12.tar.gz | 17.0 kB | With provenance | Details for pipeline_toolkit-0.6.12.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pipeline_toolkit-0.6.12-py3-none-any.whl | Python 3 | none | any | Details for pipeline_toolkit-0.6.12-py3-none-any.whl |
Total release size: 37.9 kB
Release files / pipeline_toolkit-0.6.12.tar.gz
| Download URL | pipeline_toolkit-0.6.12.tar.gz |
|---|---|
| Size | 17.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
689136e9c1d010b412555849da93884e4855c61fcb6b455cf466826a247cd14d
|
|
BLAKE2b-256 checksum How to use checksums |
cc1a642e971e388fcc669b39870ebd0ca024f0d4706ff74b53e214fdcc87d1fe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 4, 2026.
Transparency logRelease files / pipeline_toolkit-0.6.12-py3-none-any.whl
| Download URL | pipeline_toolkit-0.6.12-py3-none-any.whl |
|---|---|
| Size | 20.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c6017c0bbca668c13ed94b574d0d11a95dd45a3a2d91dd3990aa18819683c52d
|
|
BLAKE2b-256 checksum How to use checksums |
23171d0ae3696e6d6442e04e0897cb19b3cbe40d910c917a1e08437ddb2791b4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 4, 2026.
Transparency logSecurity for pipeline-toolkit 0.6.12
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for pipeline_toolkit-0.6.12.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Nov 4, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
