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.

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

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.

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

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

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

Data intelligence platform for technology trends across GitHub, StackOverflow, and Reddit using Python ETL, Pandera quality gates, DuckDB trend engine, and Flutter Web.

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`.