metinsenturk / flat_table
An extention to json_normalize() in pandas
☆27Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for flat_table
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆111Updated 7 months ago
- ☆29Updated 11 months ago
- Lossless in-memory compression of pandas DataFrames and Series powered by the visions type system. Up to 10x less RAM needed for the same…☆28Updated 2 years ago
- This article compares open-source Python packages for pipeline/workflow development: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX.☆56Updated 4 years ago
- Build and deploy a serverless data pipeline on AWS with no effort.☆110Updated last year
- Dask integration for Snowflake☆30Updated last week
- The easiest way to integrate Kedro and Great Expectations☆53Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆73Updated 9 months ago
- Tools for making Prefect work better for typical data science workflows☆19Updated 2 years ago
- This repository is part of an article "Prefect workflow automation with Azure DevOps and AKS"☆31Updated 3 years ago
- A small Python module containing quick utility functions for standard ETL processes.☆33Updated last week
- dagster scikit-learn pipeline example.☆43Updated last year
- Swiple enables you to easily observe, understand, validate and improve the quality of your data☆79Updated this week
- A Python package to build predictive linear and logistic regression models focused on performance and interpretation☆30Updated 9 months ago
- Type System for Data Analysis in Python☆209Updated 3 months ago
- Fuzzy joins for python pandas - easily join different datasets☆59Updated 4 years ago
- Server that simplifies connecting pandas to a realtime data feed, testing hypothesis and visualizing results in a web browser☆33Updated last year
- Prefect integrations for working with OpenAI.☆36Updated 6 months ago
- Build your feature store with macros right within your dbt repository☆37Updated last year
- Comparing Polars to Pandas and a small introduction☆43Updated 3 years ago
- A template for an AWS Lambda function that triggers Prefect Flow Runs☆20Updated 3 years ago
- Repository to maintain infrastructure to automate Data Workflows☆34Updated 3 years ago
- Pandas helper functions☆29Updated last year
- Prefect integrations for working with Docker☆43Updated 6 months ago
- Fast, resilient and reproducible data analysis with cached SQL queries☆30Updated last year
- Coming soon☆58Updated last year
- The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt☆53Updated 3 weeks ago