aivanzhang / panda_patrolLinks
☆23Updated last year
Alternatives and similar repositories for panda_patrol
Users that are interested in panda_patrol are comparing it to the libraries listed below
Sorting:
- Supporting materials/code examples for my course in data engineering for machine learning.☆38Updated 2 years ago
- Assessing whether data from database complies with reference information.☆43Updated this week
- Write your dbt models using Ibis☆70Updated 5 months ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆113Updated last year
- IbisML is a library for building scalable ML pipelines using Ibis.☆115Updated 3 weeks ago
- Linear regression in SQL using dbt☆72Updated 7 months ago
- A simple and easy to use Data Quality (DQ) tool built with Python.☆50Updated last year
- Palm CLI - the tool-belt for data teams☆47Updated last year
- Build your feature store with macros right within your dbt repository☆39Updated 2 years ago
- A high-performance data streaming system using DuckDB and Apache Arrow Flight.☆86Updated 6 months ago
- Parse dbt artifacts and search dbt models with Algolia☆52Updated 4 years ago
- Dask integration for Snowflake☆30Updated 2 weeks ago
- ☆90Updated last year
- dagster scikit-learn pipeline example.☆46Updated 2 years ago
- Possibly the fastest DataFrame-agnostic quality check library in town.☆202Updated last week
- Playground for using large language models into the Modern Data Stack for entity matching☆108Updated 2 years ago
- Jupyter Cell / Line Magics for DuckDB☆51Updated this week
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆80Updated last year
- Easy and flexible data contracts☆156Updated 2 weeks ago
- Pipeline definitions for managing data flows to power analytics at MIT Open Learning☆43Updated this week
- ☆27Updated 11 months ago
- DAG based BI-as-code CLI tool. Unlocks a better approach data visualization that integrates seamlessly into the modern data stack.☆59Updated this week
- A python library bakeoff for medium sized datasets☆24Updated last year
- Write python locally, execute SQL in your data warehouse☆270Updated 3 years ago
- Cloud-agnostic Python API☆60Updated last year
- A FastMCP tool to search and retrieve Polars API documentation.☆66Updated 2 months ago
- Fast approximate joins on string columns for polars dataframes.☆14Updated 9 months ago
- Fake Pandas / PySpark DataFrame creator☆48Updated last year
- A serverless duckDB deployment at GCP☆41Updated 2 years ago
- Repository to maintain infrastructure to automate Data Workflows☆35Updated 4 years ago