Mage (@mage-ai)
  • Stars
    star
    7,538
  • Global Org. Rank 3,067 (Top 1.0 %)
  • Registered almost 4 years ago
  • Most used languages
    Python
    68.8 %
    Dockerfile
    18.8 %
    HCL
    6.3 %
    Smarty
    6.3 %
  • Location πŸ‡ΊπŸ‡Έ United States
  • Country Total Rank 1,798
  • Country Ranking
    Smarty
    156
    Python
    200
    HCL
    259

Top repositories

1

mage-ai

πŸ§™ Build, run, and manage data pipelines for integrating and transforming data.
Python
7,379
star
2

mage-zoomcamp

This repository will contain all of the resources for the Mage component of the Data Engineering Zoomcamp: https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main
Dockerfile
81
star
3

mage-ai-terraform-templates

Terraform templates for deploying mage-ai to AWS, GCP and Azure
HCL
37
star
4

compose-quickstart

A quickstart repo for Mage using Docker compose.
Dockerfile
11
star
5

mlops

Python
11
star
6

magic-devcontainer

A demo instance of mage for pulling sample data from a public Google pub/sub topic and transforming with dbt.
Python
10
star
7

helm-charts

Smarty
9
star
8

machine_learning

The definitive end-to-end machine learning (ML lifecycle) guide and tutorial for data engineers.
Python
8
star
9

dbt-quickstart

Python
7
star
10

docker

Dockerfile and Docker compose templates
Dockerfile
7
star
11

assets

Media assets used in repository documentation.
5
star
12

demo_etl_pipeline

Demo pipeline for loading, transforming, and exporting restaurant data.
Python
2
star
13

datasets

Datasets to play with.
2
star
14

platform_template

Mage project platform template for using multiple projects and other non-Mage projects in 1 Mage ultra project.
Python
2
star
15

llm_orchestration

Python
2
star
16

.github

1
star
17

mage-libpostal-docker

Sample Mage docker compose for building a docker image with libpostal
Python
1
star
18

etl-demo

Mage ELT demo for pulling data from an API, performing transformations, and writing to a local DuckDB database.
Python
1
star
19

mage_demo_project

Demo project containing data integration pipelines and batch transformation pipelines.
Python
1
star