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reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bayesian","causal-inference","cybersecurity","decision-science","monte-carlo","risk-quantification","survival-analysis","value-of-information"],"created_at":"2026-01-14T07:38:47.868Z","updated_at":"2026-01-14T07:38:48.397Z","avatar_url":"https://github.com/security-decision-science.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![PyPI](https://img.shields.io/pypi/v/decision-security?label=PyPI\u0026include_prereleases)](https://pypi.org/project/decision-security/)\n[![Python versions](https://img.shields.io/pypi/pyversions/decision-security.svg)](https://pypi.org/project/decision-security/)\n[![CI](https://github.com/security-decision-science/decision-security/actions/workflows/ci.yml/badge.svg)](https://github.com/security-decision-science/decision-security/actions/workflows/ci.yml)\n[![OpenSSF Scorecard](https://api.scorecard.dev/projects/github.com/security-decision-science/decision-security/badge)](https://scorecard.dev/viewer/?uri=github.com/security-decision-science/decision-security)\n[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE) \n[![Linkedin Badge](https://img.shields.io/badge/-LinkedIn-blue?style=flat-square\u0026logo=Linkedin\u0026logoColor=white\u0026link=https://www.linkedin.com/in/voiculaura/)](https://www.linkedin.com/in/voiculaura/)\n\n\n# Decision Security\n\nReusable **decision-science utilities for security** — Monte Carlo risk bands, Bayesian updates \u0026 calibration, survival helpers, Value of Information, light causal helpers, and visualization.\n\n## Install\nPre-release for now:\n```bash\npip install --pre decision-security\n# or pin:\n# pip install decision-security==0.1.0a9 \n```\n\n## Quickstart\n\n```python\nimport numpy as np\nfrom decision_security.montecarlo import risk_bands, var_es, make_lognormal_severity, simulate_aggregate_losses\n\nsev = make_lognormal_severity(meanlog=8.0, sdlog=1.2)\nlosses = simulate_aggregate_losses(n_periods=10000, lam=0.6, severity_sampler=sev)\nprint(risk_bands(losses))      # {'p50': ..., 'p90': ..., 'p95': ...}\nprint(var_es(losses))          # (VaR95, ES95)\n```\n\n## Modules\n\t•\tsynth: synthetic data (heavy-tail losses, counts, mixtures, survival with censoring, categorical/Dirichlet).\n\t•\tmontecarlo: Poisson frequency + severity, risk bands, VaR/ES.\n\t•\tbayes: Beta-Binomial \u0026 Normal(known σ) updates, calibration helpers.\n\t•\tsurvival: simple Kaplan–Meier \u0026 Nelson–Aalen estimates.\n\t•\tvoi: Expected Value of Perfect Information (EVPI) and simple ROI selection.\n\t•\tcausal: tiny DAG utilities (parents, descendants, naive backdoor set).\n\t•\tviz: small matplotlib helpers (loss distribution, risk bands, KM curves).\n\n## Status\n\n0.x (APIs may change).\n\n## Docs \u0026 examples \n\nSecurity Decision Science Book and the Security Decision Labs playground (coming soon).\n\n## Contributing\n\nIssues and PRs welcome. For non-public questions, contact me on LinkedIn.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsecurity-decision-science%2Fdecision-security","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsecurity-decision-science%2Fdecision-security","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsecurity-decision-science%2Fdecision-security/lists"}