pandera

A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.

A kedro plugin to use pandera in your kedro projects

Tutorial for implementing data validation in data science pipelines

An ETL Orchestration using Apache Airflow to extract CSV files from a Google Drive, validate, transform, and load into a PostgreSQL database.

Lightweight, open source, locally-hosted Modern Data Stack

Um scraper e processador de dados automatizado para extrair, limpar e organizar relatórios financeiros do portal IF.data do Banco Central do Brasil.

Pipeline ETL utilizando Pandera, pytest e CI

HDRUK Data Science Collaboration on Avoidable Admissions in the NHS.

Python SDK for Polymarket — every endpoint returns a pandas DataFrame. Sync + async HTTP, WebSockets, pandera schemas, order building & signing, on-chain CTF operations.

Pandera Report for row-based reporting by using the power of pandera.

📊 Swagger-like UI for Pandera schemas: browse columns, checks, and metadata in one place.

Privacy-preserving, local-first pipeline for multimodal clinical interview data. The gold aggregation is implemented twice, independently, in Python and SQL, then reconciled across all 981 columns of the real 141-session dataset. Synthetic-by-default, with deliberate fault injection to prove validation and quarantine actually work.

Production-grade Data Engineering Lakehouse using PySpark, Apache Airflow, Docker, PostgreSQL, Power BI and Medallion Architecture.

AetherFlow is a Python library that uses autonomous agent to automatically transform Pandas DataFrames to conform with a Pandera schema. It analyzes validation errors and applies the necessary tools to fix issues, iterating until the DataFrame adheres to the schema's rules.

End-to-end MLOps pipeline predicting Polish apartment prices - DVC + MLflow registry + FastAPI + Streamlit demo, with conformal prediction intervals and drift monitoring.

A problem-driven, 7-phase learning lab and pipeline for data contracts and quality engineering using Pandera and pandas.

Testing Pydantic, FastAPI, polyfactory, pandera and GraphQL with SQLModel and pydantic-mongo

Demo for the talk "make model validation sexy again"

Project that utilises Pandera to explore schema type check on pandas dataframe insertion, utilises Pipenv, .pre-commit-config.yaml and pytest coverage.

Production style ETL-ML Pipeline demonstrating full ML life cycle with lineage tracking, idempotency and reproducibilty.