Robustlabs
Assumption Mapping Toolkit (AMT) and Report Generator (RG) for investment strategies.
A risklabs module that helps strategy developers map assumptions, evidence, and unknown to create robust decision memos.
Key Features
- Assumption Mapping: Canonical map of what must be true for a strategy to work.
- Report Generator: Turns runs and artifacts into decision memos.
- Explicit Unknowns: Tracks assumptions with low confidence or missing evidence.
Installation
pip install .
Quick Start
See demo.py for a full example.
from risklabs.amr import app
import uvicorn
# Run the API
uvicorn.run(app)
Metadata
Release files for robustlabs 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| robustlabs-0.1.1.tar.gz | 52.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| robustlabs-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 108.3 kB
Release files / robustlabs-0.1.1.tar.gz
| Download URL | robustlabs-0.1.1.tar.gz |
|---|---|
| Size | 52.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.12.2
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Release files / robustlabs-0.1.1-py3-none-any.whl
| Download URL | robustlabs-0.1.1-py3-none-any.whl |
|---|---|
| Size | 56.0 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/6.2.0 CPython/3.12.2
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