Flood Python Packages

ofunctions-misc

Collection of useful basics every Python dev should have

ofunctions-json-sanitize

Collection of useful basics every Python dev should have

ofunctions-threading

Collection of useful basics every Python dev should have

ofunctions-network

Collection of useful basics every Python dev should have

ofunctions-bisection

Collection of useful basics every Python dev should have

ofunctions-string-handling

Collection of useful basics every Python dev should have

ofunctions-random

Collection of useful basics every Python dev should have

ofunctions-file-utils

Collection of useful basics every Python dev should have

fimserve

This repository is developed with the purpose of quickly generating Flood Inundation Maps (FIM) for emergency response and risk assessment. It is developed under Surface Dynamics Modeling Lab (SDML).

hydrafloods

HYDrologic Remote sensing Analysis for Floods Python package

fimeval

Flood Inundation Mapping Prediction Evaluation Framework (FIMEVAL)

groundsource

Python package for Google's Groundsource flash flood dataset — 2.6M events, 150+ countries, 2000–2026

ofunctions

Collection of useful basics every Python dev should have

lisflood-model

Lisflood OS - LISFLOOD

ofunctions-logger-utils

Collection of useful basics every Python dev should have

ofunctions-platform

Collection of useful basics every Python dev should have

ofunctions-process

Collection of useful basics every Python dev should have

ofunctions-mailer

Collection of useful basics every Python dev should have

ofunctions-requestor

Collection of useful basics every Python dev should have

fiberfox

🦊 High-performance DDoS vulnerability testing toolkit. Various L4/7 attack vectors. Async networking, low CPU/RAM consumption.

fimbench

FIMbench is an extensive, multi-tier, multi-source benchmark Flood Inundation Mapping (FIM) database and the toolkit that powers it.

zsplit

Enhanced Normalized Difference Water Index (ENDWI) for extracting urban floods from medium- and high-resolution satellite imagery, with a strong focus on minimizing false alarms (false positives) in urban areas.

ofunctions-checksums

Collection of useful basics every Python dev should have

riverjoin

Framework for Spatially Joining two hydrofabrics.