Veriflow#
A verification pipeline for evaluating models and forecasts.
đź“Ą Fetching data
🧮 Computing scores
đź“ť Writing results
Key features#
âś… Full control over the verification pipeline via configuration
âś… Native integration with Delft-FEWS
✅ Builds on Scores for computation of scores. This package has extensive functionality, and it’s documentation is world-class.
âś… Extensible with your own (private) datasources, scores and datasinks
âś… Optimized internal datamodel for efficient computation
Installation#
Install from PyPI:
pip install veriflow
Or using uv:
uv pip install veriflow
See CONTRIBUTING.md for development setup.
đź‘Ą Who Is This For?#
This project is aimed at anyone who’s interested in assessing model and forecast quality in an easy and reproducible way, like:
operational forecasters
model developers
researchers and data-scientists
Why this package?#
Verification pipelines are complex: metrics require specialized computation, data volumes may exceed memory, and sources/destinations can vary widely. This package simplifies verification by handling the entire pipeline via a single configuration file. It’s reliable (tested and versioned), transparent (fully documented), reproducible, and flexible—extensible with custom datasources, scores, and datasinks. Any pipeline created is immediately transferable to other users and systems.
So wether you’re working on model development or operational forecasting: this tool can help you build robust and reproducible verification pipelines.