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.

Supercharged pandas indexing

Pipeline ETL utilizando Pandera, pytest e CI

HDRUK Data Science Collaboration on Avoidable Admissions in the NHS.

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

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

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.

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

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

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

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

A structured, day-by-day exploration of Python programming. It covers essential topics like data structures, object-oriented programming, error handling, and delves into advanced areas such as type hinting with `nptyping` and `pandera`.

Multivariate time series anomaly detection using LSTM Autoencoder, FastAPI, Plotly Dash, MLflow, and Docker

Production-grade AMR resistance forecasting: ECDC surveillance data → feature engineering → LightGBM + MLflow → FastAPI + Streamlit UI → Docker