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Starred repositories
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Efficient data transformation and modeling framework that is backwards compatible with dbt.
Markdown to Confluence - upload any .md files to your Confluence cloud page
Provides automated YAML management and a streamlit workbench. Designed to optimize dev workflows.
A free to use dbt package for creating and loading Data Vault 2.0 compliant Data Warehouses (powered by dbt, an open source data engineering tool, registered trademark of dbt Labs)
Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Ta…
The fastest way to create an HTML app
gr8-toolkit / dbt-athena
Forked from dbt-labs/dbt-athenaThe athena adapter plugin for dbt (https://getdbt.com)
This library can convert a pydantic class to a avro schema or generate python code from a avro schema.
This is a repo with links to everything you'd ever want to learn about data engineering
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Project with Airflow + Spark + MinIO + Postgres + Python3.8
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared …
Pulumi - Infrastructure as Code in any programming language 🚀
Flexible time series feature extraction & processing
A game theoretic approach to explain the output of any machine learning model.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Lime: Explaining the predictions of any machine learning classifier
Probabilistic time series modeling in Python
Scalable and user friendly neural 🧠 forecasting algorithms.
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
A Library for Advanced Deep Time Series Models.