Mage vs Tempo: How They Actually Differ
Pick Tempo if you are a small team building a React app and want a visual editor with AI-assisted component generation. Pick Mage if your work is data pipelines and you want open-source, self-hosted infrastructure in Python or SQL.
Compiled 2026-08-20 from our catalogue entries for Mage and Tempo.
The short answer
- Pick Tempo if
- You are building a React application with a small team and want a shared visual editor with AI-assisted generation of components and pages.
- Pick Mage if
- Your work is data pipelines rather than user-facing apps, and you want an open-source tool you can self-host in Python or SQL.
- Cheapest way in
- Both products use a freemium model and the starting price is not recorded for either. Mage's open-source core on GitHub is the documented no-cost path.
- What we could not compare
- Verified plan tiers, exact prices, documentation depth, and support details are not on file for either product.
Tempo and Mage both sit in the AI App Builders category on paper, but they solve different problems. Tempo is a web-based visual AI builder aimed at React teams. It focuses on generating React components and pages, integrating component libraries to scaffold UI, and giving a team a shared visual space to work in.
Mage is a data engineering platform for building, running, and monitoring data pipelines. It uses a notebook-style, chat-driven web UI, supports Python and SQL for transformations, and is open source with a public GitHub repository. It can be self-hosted via Docker, Kubernetes, or a local Python install. Choosing between them mostly comes down to whether you are shipping a React app or running a data pipeline.
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.
| Mage | Tempo | |
|---|---|---|
| Public source code | Yes — public repo | No public repo listed |
| Category | AI App Builders | AI App Builders |
| Pricing model | Freemium | Freemium |
| Runs on | web | web |
| Public docs | Not listed | Not listed |
- Public source code: From the repository link on each catalogue entry, not a licence audit.
Where Mage is the better fit
- Open-source data pipeline platform with source code publicly available on GitHub.
- Can be self-hosted using Docker, Kubernetes, or a local Python installation.
- Supports both Python and SQL for defining transformations within pipelines.
Where Tempo is the better fit
- Web-based visual editor for building React applications with AI-assisted generation of components and pages.
- Supports team collaboration workflows for shared app development in a single visual space.
- Integrates with component libraries to scaffold UI elements.
Which one should you pick?
It is built for React, offers a visual editor with AI-assisted component generation, and has collaboration workflows aimed at teams working on the same app.
It is purpose-built for data engineering, is open source on GitHub, and supports self-hosting via Docker, Kubernetes, or a local Python install.
Its public GitHub repository and self-hosting options are documented; Tempo has no public repo listed.
Frequently asked questions
Frequently asked questions
- Can either tool build a full production app on its own?
- Tempo is documented as a visual AI builder for React apps with AI-assisted component and page generation. Mage is documented as a data engineering platform for pipelines, not general-purpose application development.
- Do either of them have a desktop app or IDE plugin?
- Both are listed as web-only. Tempo has no native desktop application recorded, and Mage does not offer a native desktop or IDE plugin as part of its primary distribution.
- Is the source code available for either?
- Mage is open source with its code on GitHub at github.com/mage-ai/mage-ai. Tempo has no public repository listed on file.
- How much does each cost to get started?
- Both use a freemium model, and the starting price is not recorded for either. Mage's open-source core is the documented free entry point; Tempo's free tier details are not on file.
- Can I use them on frameworks other than React or outside Python and SQL?
- Tempo is focused specifically on the React framework, which limits use for other stacks. Mage supports Python and SQL for defining transformations; other languages are not documented on file.
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.
- /tools/mage-ai — checked 2026-06-14 · official site
- /tools/tempo-labs — checked 2026-06-15 · official site
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: Not recorded Platforms: web Public repo: https://github.com/mage-ai/mage-ai Docs: none listed Verified plans: none on file 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: Platform is limited to web-based access with no native desktop application.; Focused specifically on the React framework, limiting use for other stacks.; Freemium tier likely restricts advanced team and collaboration features. 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
- 2026-08-20 — First published, compiled from the catalogue entries for Mage and Tempo.