feat: OASIS Security dashboard délinquance France

Author: Dreipfelt

0README.md

@@ -0,0 +1,31 @@
+import streamlit as st
+import pandas as pd
+import plotly.express as px
+# Importez vos modules du projet
+# from your_analysis import load_data, analyze_security
+
+st.set_page_config(page_title="Oasis Security", layout="wide")
+
+st.title("🛡️ Oasis Security Analysis")
+st.markdown("Analyse de sécurité pour la certification CDSD")
+
+# Sidebar pour navigation
+page = st.sidebar.selectbox("Choisir une analyse", 
+                           ["Vue d'ensemble", "Analyse des menaces", "Visualisations"])
+
+if page == "Vue d'ensemble":
+    st.header("📊 Résumé exécutif")
+    col1, col2 = st.columns(2)
+    with col1:
+        st.metric("Menaces critiques", "12")  # Remplacez par vos vraies métriques
+    with col2:
+        st.metric("Score de sécurité", "87%")
+    
+    # Chargez vos données
+    # df = load_data()
+    # st.dataframe(df)
+
+if page == "Visualisations":
+    st.header("📈 Dashboards interactifs")
+    # fig = px.bar(...)  # Vos graphiques
+    # st.plotly_chart(fig)

app.py

@@ -0,0 +1,73 @@
+altair==5.5.0
+attrs==25.4.0
+blinker==1.9.0
+cachetools==5.5.2
+certifi==2026.1.4
+charset-normalizer==3.4.4
+click==8.3.1
+click-plugins==1.1.1.2
+cligj==0.7.2
+fastjsonschema==2.21.2
+fiona==1.10.1
+geopandas==0.14.0
+gitdb==4.0.12
+GitPython==3.1.46
+idna==3.11
+importlib-metadata==6.11.0
+iniconfig==2.3.0
+Jinja2==3.1.6
+joblib==1.5.3
+jsonschema==4.26.0
+jsonschema-specifications==2025.9.1
+jupyter_core==5.9.1
+markdown-it-py==4.0.0
+MarkupSafe==3.0.3
+mdurl==0.1.2
+narwhals==2.16.0
+nbformat==5.10.4
+numpy==1.26.4
+packaging==23.2
+pandas==2.3.3
+pillow==10.4.0
+platformdirs==4.9.4
+plotly==5.17.0
+pluggy==1.6.0
+protobuf==4.25.8
+pyarrow==23.0.1
+pydeck==0.9.1
+Pygments==2.19.2
+pyproj==3.7.2
+pytest==9.0.2
+python-dateutil==2.9.0.post0
+pytz==2025.2
+referencing==0.37.0
+requests==2.31.0
+rich==13.9.4
+rpds-py==0.30.0
+scikit-learn==1.8.0
+scipy==1.17.1
+setuptools==82.0.0
+shapely==2.1.2
+six==1.17.0
+smmap==5.0.2
+streamlit==1.28.0
+tenacity==8.5.0
+threadpoolctl==3.6.0
+toml==0.10.2
+tornado==6.5.4
+traitlets==5.14.3
+typing_extensions==4.15.0
+tzdata==2025.3
+tzlocal==5.3.1
+urllib3==2.6.3
+validators==0.35.0
+watchdog==6.0.0
+wheel==0.45.1
+zipp==3.23.0
+streamlit>=1.28.0
+pandas
+numpy
+plotly
+scikit-learn
+joblib
+seaborn

requirements.txt

@@ -0,0 +1,27 @@
+# 🛡️ Oasis Security - Analyse Prédictive CDSD
+
+[![Streamlit](https://static.streamlit.io/badges/featured/svg/badge_featured.svg)](https://streamlit.io)
+[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Made%20with%20HF%20Spaces-blue)](https://huggingface.co/spaces/Dreipelt/oasis-security)
+[![Python](https://img.shields.io/badge/Python-3.10%2B-blue)](https://python.org)
+[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
+
+**Démo interactive** : Analyse spatio-temporelle des crimes et délits pour la certification **CDSD (Certified Data Scientist Developer)**.
+
+[🚀 Voir le code source complet](https://github.com/Data-Science-Designer-and-Developer/oasis-security)
+
+## 🎯 Fonctionnalités
+
+- 📊 **Dashboard interactif** des données crimes/délits
+- 🗺️ **Visualisations géospatiales** (via notebooks)
+- 🔍 **Métriques de sécurité** temps réel
+- 🧠 **Pipelines ML** déployés (models/)
+- 🐳 **Architecture Docker** production-ready
+
+## 🛠️ Tech Stack
+
+```yaml
+Frontend: Streamlit 1.38+
+Data: Pandas, GeoPandas, PyArrow
+Viz: Plotly, Altair
+ML: scikit-learn 1.4+, joblib
+Infra: Docker, HF Spaces, GitHub Actions