soak
DAG-based pipelines for LLM-assisted qualitative text analysis.
Installation
uv tool install soaking
Documentation
Full documentation, examples, and sample outputs:
https://benwhalley.github.io/soak/
License
AGPL v3 or later
Metadata
Release files for soaking 0.13
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 |
|---|---|---|---|---|
| soaking-0.13.tar.gz | 44.4 MB | Without provenance | Details for soaking-0.13.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| soaking-0.13-py3-none-any.whl | Python 3 | none | any | Details for soaking-0.13-py3-none-any.whl |
Total release size: 89.5 MB
Release files / soaking-0.13.tar.gz
| Download URL | soaking-0.13.tar.gz |
|---|---|
| Size | 44.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.9
|
Release files / soaking-0.13-py3-none-any.whl
| Download URL | soaking-0.13-py3-none-any.whl |
|---|---|
| Size | 45.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.9
|
Security for soaking 0.13
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None of the files in this release were uploaded with provenance metadata.
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