An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs.
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Key parameters and specifications
Key parameters and specifications
Parameter
Value
Language
Python
Category
Infrastructure
Subcategory
Orchestration
Keywords
Data processing
Stars
8,830
Forks
991
Contributors
100
Created date
2022-05-16
Updated date
2026-10-16
Stars in 1 day
1
Stars in 7 days
1
Rank
4,452
Previous rank
4,638
Rank change
186
7-day stars rank
8,977
Previous 7-day stars rank
11,722
7-day stars rank change
2,745
Total stars rank
1,637
Previous total stars rank
1,634
Total stars rank change
-3
Country
USA
README summary
Mage OSS is a self-hosted development environment designed to help teams create production-grade data pipelines with confidence. Use Mage OSS to build and run pipelines on your machine. When you're ready for advanced tooling, performance, and AI-assisted productivity, Mage Pro is just one click away. **Try Mage Pro free →** Quickstart Install using Docker (recommended): Or with pip: Or with conda: Full setup guide and docs: docs. ai Core Features | Feature | Description | | :- | :- | | Modular pipelines | Build pipelines block-by
-block using Python, SQL, or R | | Notebook UI | Interactive editor for writing and documenting logic | | Data integrations | Prebuilt connectors to databases, APIs, and cloud storage | | Scheduling | Trigger pipelines manually or on a schedule | | Visual debugging | Step-by-step logs, data previews, and error handling | | dbt support | Build and run dbt models directly inside Mage | Example Use Cases Move data from Google Sheets to Snowflake with a Python transform Schedule a daily SQL pipeline to clean and aggregate product data Develop
dbt models in a visual notebook-style interface Run simple ETL/ELT jobs locally with full transparency Documentation Looking for how-to guides, examples, or advanced configuration? Start with our contributing guide, check out open issues, or suggest improvements. Mage Pro is a powered-up platform built for teams. It adds everything you need for production pipelines, at scale. Magical AI-assisted development and debugging Multi-environment orchestration Role-based access control Real-time monitoring & alerts Powerful CI/CD & version
control Powerful enterprise features Available fully managed, hybrid, or on-premises **Try Mage Pro free →**
Frequently asked questions
How many stars and forks are recorded?
mage-ai/mage-ai has 8,830 stars and 991 forks.
What is the repository rank?
mage-ai/mage-ai is ranked 4,452.
What language and category are recorded?
mage-ai/mage-ai has 8,830 stars, uses Python and belongs to Infrastructure.
Which repository is closest in rank?
mage-ai/mage-ai is compared with intel/ipex-llm, ranked 4,451 with 8,846 stars.
README
Mage OSS
Build modern data pipelines locally — fast, visual, and production-ready.
Mage OSS is a self-hosted development environment designed to help teams create production-grade data pipelines with confidence.
Ideal for automating ETL tasks, architecting data flow, or orchestrating transformations — all in a fast, notebook-style interface powered by modular code.
When it’s time to scale, Mage Pro — our core platform — unlocks enterprise orchestration, collaboration, and AI-powered workflows.
What you can do with Mage OSS
Build pipelines locally with Python, SQL, or R in a modular notebook-style UI
Run jobs manually or on a schedule (cron supported)
Connect to databases, APIs, and cloud storage with prebuilt connectors
Debug visually with logs, live previews, and step-by-step execution
Set up quickly with Docker, pip, or conda — no cloud account required
Your go-to workspace for local pipeline development — fully in your control.
Start local. Scale when you're ready.
Use Mage OSS to build and run pipelines on your machine. When you're ready for advanced tooling, performance, and AI-assisted productivity, Mage Pro is just one click away.
