forskai
Recoverability testing for research design. ForskAI examines whether a planned study can recover the effect it is meant to detect — before data collection begins. A passed design test is design evidence under stated assumptions; it is never validity about people, and never a guarantee of results.
This package is the public entry point for ForskAI. It currently carries the project's identity and points to the service; it will grow into the thin client for the hosted engine. The recoverability engine itself is not distributed here.
import forskai
forskai.info()
- Service: https://www.forskai.com
- Example report: https://www.forskai.com/example
ForskAI is a product of Vahtian. It does not provide clinical, diagnostic, or medical advice and is not a medical device.
1 maintainer
Release files for forskai 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| forskai-0.1.0.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| forskai-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.9 kB
Release files / forskai-0.1.0.tar.gz
| Download URL | forskai-0.1.0.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / forskai-0.1.0-py3-none-any.whl
| Download URL | forskai-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e1cf5686bdbb9ca136c1103b71d85ade82659eed21a880e1b0036a5068c24273
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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