sibi-dst 2025.1.2

Data Science Toolkit

SIBI-DST

Data Science Toolkit built with Python, Pandas, Dask, OpenStreetMaps, NetworkX, SQLAlchemy, GeoPandas, and Folium.

Example Use Cases

1. Build DataCubes, DataSets, and DataObjects from diverse data sources, including relational databases, Parquet files, Excel (.xlsx), delimited tables (.csv, .tsv), JSON, and RESTful APIs.
2. Comprehensive DataFrame Management utilities for efficient data handling, transformation, and optimization using Pandas and Dask.
3. Flexible Data Sharing with client applications by writing to Data Warehouses in Clickhouse, local filesystems, and cloud storage platforms such as S3.
4. Microservices for Data Access – Build scalable API-driven services using RESTful APIs (Django REST Framework, FastAPI) for high-performance data exchange.
5. Geospatial Analysis – Utilize OpenStreetMaps and GeoPandas for advanced geospatial data processing and visualization.

Supported Technologies

• Data Processing: Pandas, Dask
• Databases & Storage: SQLAlchemy, Parquet, S3, Clickhouse
• Mapping & Geospatial Analysis: OpenStreetMaps, OSMnx, Geopy
• API Development: Django REST Framework, FastAPI

Installation

# with pip

pip install sibi-dst  # Install only the main package
pip install sibi-dst[geospatial] # Install with geospatial dependencies
pip install sibi-dst[dev,test,geospatial]  # Install all optional dependencies