Comparison
mage-ai vs awesome-llm-apps
Verdict
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; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · mage-ai alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | mage-ai | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 18, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- mage-ai
- Build, run and manage data pipelines for integrating and transforming data
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- mage-ai
- 8.8k
- awesome-llm-apps
- 136k
Forks
- mage-ai
- 990
- awesome-llm-apps
- 20k
Open issues
- mage-ai
- 624
- awesome-llm-apps
- 10
Language
- mage-ai
- Python
- awesome-llm-apps
- Python
Adopt for
- mage-ai
- Mage OSS offers a self-hosted Python-centric notebook-style UI for creating production-grade data pipelines with modular code blocks.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- mage-ai
- -
- awesome-llm-apps
- -
Runtime
- mage-ai
- -
- awesome-llm-apps
- -
License
- mage-ai
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- mage-ai
- Sep 11, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- mage-ai
- Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- mage-ai
- 6d
- awesome-llm-apps
- 4d
Open issues (now)
- mage-ai
- 624
- awesome-llm-apps
- 10
Stars delta
- mage-ai
- +33 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- mage-ai
- +5 (30d)
- awesome-llm-apps
- -3 (30d)
Owner type
- mage-ai
- Organization
- awesome-llm-apps
- User
OSV dependency advisories
- mage-ai
- Published findings
- awesome-llm-apps
- No lockfile (source not queried)
Full report
- mage-ai
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · mage-ai: Python runtime · awesome-llm-apps: Python runtime
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 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.
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers AI Agents.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mage-ai/mage-ai) · observed Sep 20, 2026
- GitHub forks (mage-ai/mage-ai) · observed Sep 20, 2026
- Last push (mage-ai/mage-ai) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mage-ai 8.8k · awesome-llm-apps 136k (synced Sep 20, 2026).
Common questions
- What is the difference between mage-ai and awesome-llm-apps?
- mage-ai: Build, run and manage data pipelines for integrating and transforming data. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mage-ai over awesome-llm-apps?
- Choose mage-ai over awesome-llm-apps 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 choose awesome-llm-apps over mage-ai?
- Choose awesome-llm-apps over mage-ai when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- 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.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is mage-ai or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 8,823). Stars measure visibility, not whether either tool fits your constraints.
- Are mage-ai and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (mage-ai: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to mage-ai or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at mage-ai alternatives and awesome-llm-apps alternatives (mage-ai markdown twin, awesome-llm-apps markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, mage-ai or awesome-llm-apps?
- mage-ai: Very active. awesome-llm-apps: 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 mage-ai and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mage-ai trust report; awesome-llm-apps trust report.