Skip to main content

Data Science Toolkit

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sibi_dst-2025.9.11.tar.gz (155.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sibi_dst-2025.9.11-py3-none-any.whl (193.8 kB view details)

Uploaded Python 3

File details

Details for the file sibi_dst-2025.9.11.tar.gz.

File metadata

  • Download URL: sibi_dst-2025.9.11.tar.gz
  • Upload date:
  • Size: 155.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.11.2 Darwin/24.6.0

File hashes

Hashes for sibi_dst-2025.9.11.tar.gz
Algorithm Hash digest
SHA256 fe5752280c384814b172b3dc6d860845489a8ce002d4c7fb265af5f8afaaa71f
MD5 0bf308fc94faf3a4473b9e9a9ae9e562
BLAKE2b-256 6df5e5982835b70a503076d24f799a70e5a2dfac6861af54a71f15a5706b27b8

See more details on using hashes here.

File details

Details for the file sibi_dst-2025.9.11-py3-none-any.whl.

File metadata

  • Download URL: sibi_dst-2025.9.11-py3-none-any.whl
  • Upload date:
  • Size: 193.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.11.2 Darwin/24.6.0

File hashes

Hashes for sibi_dst-2025.9.11-py3-none-any.whl
Algorithm Hash digest
SHA256 6114b26869b0ce31d3b64366b7e1dd3e542ad2c19519aa8de4540373572638f7
MD5 98200ed92d79c4bd28e14a9ad57e4a38
BLAKE2b-256 b5f6a4f397607d866cd49655db40ad09754d9af62e8de927c3108fab49111b3d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page