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Mage vs Tempo: How They Actually Differ

Mage fits data engineers who want to self-host open-source Python or SQL pipelines through a chat-driven web UI. Tempo fits React teams who want a visual editor with AI-assisted component generation and shared workflows. They are built for different jobs.

Compiled 2026-09-19 from our catalogue entries for Mage and Tempo.

The short answer

Pick Mage if
You are building data pipelines in Python or SQL, want a chat-driven web UI, and prefer open-source software you can self-host with Docker, Kubernetes, or a local Python install.
Pick Tempo if
You are a React team that wants a visual web editor with AI-assisted component generation, shared collaboration workflows, and integration with component libraries.
Cheapest way in
Mage lists a Starter plan at $29 / month plus $0.50 per CPU-hour; its open-source core is on GitHub. Tempo's pricing is not recorded on file.
What we could not compare
Tempo has no pricing, plan, repo, or docs information on file. Mage's Enterprise plan price is not published (contact sales), and the exact limits of its freemium AI chat features are not specified.

Mage is an AI-first, open-source data engineering platform that runs in the browser. It lets you build, run, and monitor data pipelines through a notebook-style, chat-driven web UI, with support for both Python and SQL when defining transformations. The source code is on GitHub, and the tool can be self-hosted via Docker, Kubernetes, or a local Python install.

Tempo is a web-based visual AI builder aimed at React applications. It combines a visual editor with AI-assisted generation of React components and pages, integrates with component libraries to scaffold UI, and adds collaboration workflows for teams building together. Its scope is React specifically.

Side by side

Every cell is a field on our catalogue entry for that tool, copied as recorded. Rows where the two differ come first; blank fields say so rather than being filled in.

 MageTempo
Starts atStarter — $29 / month + $0.50 per CPU-hourNot recorded
Public source codeYes — public repoNo public repo listed
CategoryAI App BuildersAI App Builders
Pricing modelFreemiumFreemium
Runs onwebweb
Public docsNot listedNot listed
  • Public source code: From the repository link on each catalogue entry, not a licence audit.

Where Mage is the better fit

  • Open source with a public GitHub repo and self-hosting options via Docker, Kubernetes, or local Python install.
  • Notebook-style and chat-driven web UI for building, running, and monitoring data pipelines.
  • Supports both Python and SQL for defining transformations inside pipelines.

Full Mage entry · Mage pricing, verified

Where Tempo is the better fit

  • Web-based visual editor for React apps with AI assistance.
  • Team collaboration workflows for shared app development.
  • Integrates with component libraries to scaffold UI, with AI-assisted generation of React components and pages.

Full Tempo entry

Which one should you pick?

A data engineer or backend-leaning founder building ETL or analytics pipelines in Python or SQL
Mage

It is purpose-built for data pipelines, supports Python and SQL, and is open source with self-hosting options.

A small product team building a React web app and wanting a shared visual space with AI help
Tempo

It offers a visual editor, AI-assisted React component and page generation, component-library integration, and team workflows.

A solo founder looking for a general-purpose AI app builder for any stack
Neither

Mage is purpose-built for data engineering rather than general app development, and Tempo is focused specifically on React.

Frequently asked questions

Is Mage suitable for general app development?
No. The sheet says Mage is purpose-built for data engineering workflows rather than general-purpose application development.
Can Tempo be used for non-React projects?
The sheet lists React focus as a limit, saying it is less useful for other stacks.
Does Mage offer a free tier?
Mage is freemium with an open-source core on GitHub. Its AI-driven chat features may be limited or gated beyond the free open-source core.
Does Tempo have a public repo or docs listed?
No. The fact sheet lists none for public repo and none for docs.

What we compared

This page states nothing that is not in the two catalogue entries below. The exact text used to write it is reproduced here so you can check our reading, and both tools link through to their own pages and to the vendor.

Show the source text
## Mage (/tools/mage-ai)
Tagline: AI-first data engineering platform — build, run, and monitor data pipelines with a chat-driven UI.
Category: AI App Builders
Pricing model: freemium
Starts at: Starter — $29 / month + $0.50 per CPU-hour
Platforms: web
Public repo: https://github.com/mage-ai/mage-ai
Docs: none listed
Verified plans (read 2026-09-19): Starter $29 / month + $0.50 per CPU-hour | Team $100 / month + $0.50 per CPU-hour | Enterprise Not published (contact sales)
Strengths on file: Mage is an open-source data pipeline platform with its source code publicly available on GitHub.; Mage provides a notebook-style and chat-driven web UI for building, running, and monitoring data pipelines.; Mage can be self-hosted using Docker, Kubernetes, or local Python installation.; Mage supports both Python and SQL for defining data transformations within pipelines.
Limits on file: The AI-driven chat features are part of the freemium offering and may be limited or gated behind a paid tier beyond the free open-source core.; Mage is purpose-built for data engineering workflows rather than general-purpose application development.; The product is web-based and does not offer a native desktop or IDE plugin as part of its primary distribution.
Mage is a data engineering platform for building, running, and monitoring data pipelines through a notebook-style, chat-driven web UI.
It is open-source with its code on GitHub, can be self-hosted via Docker, Kubernetes, or a local Python install, and supports both Python and SQL for defining transformations.
It suits data engineers who want to own their infrastructure and work in Python or SQL. It is not for general app-building, and the AI chat features sit in a freemium tier that may be limited or gated behind a paid plan beyond the open-source core. There is no native desktop app or IDE plugin as the primary distribution; it is web-based.
Within pipeline tooling, Mage differs from general-purpose app builders by being purpose-built for data engineering, with self-hosting and an open core as its main draw.

## Tempo (/tools/tempo-labs)
Tagline: Visual AI builder for React apps with team workflows and component libraries.
Category: AI App Builders
Pricing model: freemium
Starts at: Not recorded
Platforms: web
Public repo: none listed
Docs: none listed
Verified plans: none on file
Strengths on file: Web-based visual editor for building React applications with AI assistance.; Supports team collaboration workflows for shared app development.; Integrates with component libraries to scaffold UI elements.; Allows AI-assisted generation of React components and pages.
Limits on file: Focused specifically on the React framework, limiting use for other stacks.
Tempo is a web-based visual AI builder for React apps, with team workflows and component libraries.
It combines a visual editor with AI: AI-assisted generation of React components and pages, integration with component libraries to scaffold UI, and collaboration workflows for teams building together.
It fits React teams that want a shared visual space with AI help. Two limits: it's web-only, with no native desktop app, and it's focused specifically on React, so it's less useful for other stacks.
It's a React-focused, team-oriented visual builder next to v0 and Lovable.

Change log

  • 2026-09-19 — First published, compiled from the catalogue entries for Mage and Tempo.