---
title: "lux vs mage-ai"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lux-org-lux-vs-mage-ai-mage-ai"
tools: ["lux-org-lux", "mage-ai-mage-ai"]
---

# lux vs mage-ai

*GraphCanon updated Aug 11, 2026*

## Verdict

Pick lux if automatically visualize pandas dataframes to reveal trends; pick mage-ai if mage OSS offers a self-hosted Python-centric notebook-style UI for creating production-grade data pipelines with modular code blocks.

[lux](https://github.com/lux-org/lux) reports 5.4k GitHub stars, 379 forks, and 90 open issues, last pushed Mar 20, 2024. [mage-ai](https://www.mage.ai) has 8.8k stars, 982 forks, and 619 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [lux's repository](https://github.com/lux-org/lux) and [mage-ai's repository](https://github.com/mage-ai/mage-ai).

| | [lux](/tools/lux-org-lux.md) | [mage-ai](/tools/mage-ai-mage-ai.md) |
| --- | --- | --- |
| Tagline | Automatically visualize pandas dataframes. | Build, run and manage data pipelines for integrating and transforming data |
| Stars | 5,375 | 8,790 |
| Forks | 379 | 982 |
| Open issues | 90 | 619 |
| Language | Python | Python |
| Adopt for | Automatically visualize pandas dataframes to reveal trends. | Mage OSS offers a self-hosted Python-centric notebook-style UI for creating production-grade data pipelines with modular code blocks. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Data & Retrieval, Developer Tools | Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [lux](/tools/lux-org-lux.md) | [mage-ai](/tools/mage-ai-mage-ai.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 865d | 0d |
| Open issues (now) | 90 | 619 |
| Full report | [trust report](/tools/lux-org-lux/trust.md) | [trust report](/tools/mage-ai-mage-ai/trust.md) |

## Shared compatibility

- **Python**: [lux](/tools/lux-org-lux.md) - Python runtime; [mage-ai](/tools/mage-ai-mage-ai.md) - Python runtime

## Decision facts: lux

- **Adopt for:** Automatically visualize pandas dataframes to reveal trends.

## Decision facts: mage-ai

- **Adopt for:** Mage OSS offers a self-hosted Python-centric notebook-style UI for creating production-grade data pipelines with modular code blocks.

## Choose when

### Choose lux if…

- Tags unique to lux: data-science, exploratory-data-analysis, jupyter, pandas.
- Also covers Developer Tools.
- When you need quick insights from pandas dataframes without manual visualization setup.

### Choose mage-ai if…

- Tags unique to mage-ai: artificial-intelligence, data-pipelines, machine-learning.
- mage-ai ships Docker support for self-hosted deployment.
- You need a local, self-hosted solution for building ETL tasks or orchestrating transformations.

## When NOT to use lux

- Avoid if your workflow strictly avoids third-party extensions for Pandas.
- Not suitable when detailed customization of visualizations is required, as Lux focuses on automated recommendations.

## When NOT to use mage-ai

- You need a cloud-hosted service with pre-provisioned storage and compute resources.
- Looking for real-time collaboration features beyond the notebook-style interface.
- Need support for non-Python, SQL, R languages in pipeline creation.

## Common questions

### What is the difference between lux and mage-ai?

lux: Automatically visualize pandas dataframes.. mage-ai: Build, run and manage data pipelines for integrating and transforming data. See the comparison table for live GitHub stats and shared categories.

### When should I choose lux over mage-ai?

Choose lux over mage-ai when Tags unique to lux: data-science, exploratory-data-analysis, jupyter, pandas; Also covers Developer Tools; When you need quick insights from pandas dataframes without manual visualization setup.

### When should I choose mage-ai over lux?

Choose mage-ai over lux when Tags unique to mage-ai: artificial-intelligence, data-pipelines, machine-learning; mage-ai ships Docker support for self-hosted deployment; You need a local, self-hosted solution for building ETL tasks or orchestrating transformations.

### When should I avoid lux?

Avoid if your workflow strictly avoids third-party extensions for Pandas. Not suitable when detailed customization of visualizations is required, as Lux focuses on automated recommendations.

### When should I avoid mage-ai?

You need a cloud-hosted service with pre-provisioned storage and compute resources. Looking for real-time collaboration features beyond the notebook-style interface. Need support for non-Python, SQL, R languages in pipeline creation.

### Is lux or mage-ai more popular on GitHub?

mage-ai has more GitHub stars (8,790 vs 5,375). Stars measure visibility, not whether either tool fits your constraints.

### Are lux and mage-ai open source?

Yes - both are open-source projects on GitHub (lux: Apache-2.0, mage-ai: Apache-2.0).

### Where can I find alternatives to lux or mage-ai?

GraphCanon lists graph-backed alternatives at [lux alternatives](/tools/lux-org-lux/alternatives) and [mage-ai alternatives](/tools/mage-ai-mage-ai/alternatives) ([lux markdown twin](/tools/lux-org-lux/alternatives.md), [mage-ai markdown twin](/tools/mage-ai-mage-ai/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/lux-org-lux-vs-mage-ai-mage-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, lux or mage-ai?

lux: Dormant. mage-ai: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for lux and mage-ai?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lux trust report](/tools/lux-org-lux/trust); [mage-ai trust report](/tools/mage-ai-mage-ai/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=lux-org-lux`](/api/graphcanon/graph?tool=lux-org-lux)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
