Vatic
Open Source Risk Analysis.
Introduction
vatic software is a predictive-modeling, simulation, and analysis application. It is designed to be a viable open-source alternative to commercial packages like Oracle Crystal Ball, @Risk, and ModelRisk. It relies on powerful Monte Carlo simulation and statistical analysis methods to reduce the risk of uncertainty.
Usage
uv pip install vatic
# Start application
vatic
What does "vatic" mean?
The word vatic is a Latin-English contraction of vates and -ic that appears to have been first created in the early 17th century. Generally, it means "describing or predicting what will happen in the future".
License
GNU General Public License v3.0 (GPL-3.0)
Metadata
Release files for vatic 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vatic-0.2.0.tar.gz | 869.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vatic-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / vatic-0.2.0.tar.gz
| Download URL | vatic-0.2.0.tar.gz |
|---|---|
| Size | 869.6 kB |
| 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? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Aug 19, 2026.
Transparency logRelease files / vatic-0.2.0-py3-none-any.whl
| Download URL | vatic-0.2.0-py3-none-any.whl |
|---|---|
| Size | 773.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fae9f309470667775ea8994bfca6cc81e7c5c6e1291c4052ee22a4fb6c76a207
|
|
BLAKE2b-256 checksum How to use checksums |
96d4ee77832ae2d9a716ddd45c474703ba9d2ba392f9139dd6758ee737a11508
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Aug 19, 2026.
Transparency log