Comparison
entaoai vs mage-ai
Verdict
Pick entaoai if for firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup; 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.
Markdown twin · entaoai alternatives · mage-ai alternatives
GraphCanon updated Sep 20, 2026
7views this month
Trust & integrity
| Signal | entaoai | mage-ai |
|---|---|---|
| Maintenance | Dormant (625d since push) As of Sep 19, 2026 · github_public_v1 | Very active (6d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 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
- entaoai
- Accelerator for uploading enterprise data and using OpenAI services to interact with it.
- mage-ai
- Build, run and manage data pipelines for integrating and transforming data
Stars
- entaoai
- 866
- mage-ai
- 8.8k
Forks
- entaoai
- 245
- mage-ai
- 990
Open issues
- entaoai
- 12
- mage-ai
- 624
Language
- entaoai
- TypeScript
- mage-ai
- Python
Adopt for
- entaoai
- For firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup.
- mage-ai
- Mage OSS offers a self-hosted Python-centric notebook-style UI for creating production-grade data pipelines with modular code blocks.
Persona
- entaoai
- -
- mage-ai
- -
Runtime
- entaoai
- -
- mage-ai
- -
License
- entaoai
- MIT
- mage-ai
- Apache-2.0
Last pushed
- entaoai
- Jan 2, 2025
- mage-ai
- Sep 11, 2026
Categories
- entaoai
- Data & Retrieval, LLM Frameworks
- mage-ai
- Data & Retrieval
Trust and health
Maintenance
- entaoai
- Dormant (18%)
- mage-ai
- Very active (96%)
Days since push
- entaoai
- 625d
- mage-ai
- 6d
Open issues (now)
- entaoai
- 12
- mage-ai
- 624
Stars delta
- entaoai
- 0 (30d)
- mage-ai
- +33 (30d)
Open issues delta
- entaoai
- 0 (30d)
- mage-ai
- +5 (30d)
Owner type
- entaoai
- User
- mage-ai
- Organization
OSV dependency advisories
- entaoai
- No lockfile (source not queried)
- mage-ai
- Published findings
Full report
- entaoai
- Trust report
- mage-ai
- Trust report
Choose entaoai if…
- entaoai is primarily TypeScript; mage-ai is Python.
- License: entaoai is MIT, mage-ai is Apache-2.0.
- Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search.
- Also covers LLM Frameworks.
- When you need an accelerator to rapidly upload and interact with your own enterprise data via chat.
When NOT to use entaoai
- Avoid if you prefer not to incorporate OpenAI's services for interacting with your enterprise data.
- Not recommended for those looking to use a competitor like Pinecone that focuses on vector-store based queries rather than chat interaction.
Choose mage-ai if…
- mage-ai is primarily Python; entaoai is TypeScript.
- License: mage-ai is Apache-2.0, entaoai is MIT.
- Tags unique to mage-ai: artificial-intelligence, data-pipelines, machine-learning, python.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (akshata29/entaoai) · observed Sep 19, 2026
- GitHub forks (akshata29/entaoai) · observed Sep 19, 2026
- Last push (akshata29/entaoai) · observed Jan 2, 2025
- License file (MIT) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: entaoai 866 · mage-ai 8.8k (synced Sep 19, 2026).
Common questions
- What is the difference between entaoai and mage-ai?
- entaoai: Accelerator for uploading enterprise data and using OpenAI services to interact with it.. 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 entaoai over mage-ai?
- Choose entaoai over mage-ai when entaoai is primarily TypeScript; mage-ai is Python; License: entaoai is MIT, mage-ai is Apache-2.0; Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search; Also covers LLM Frameworks; When you need an accelerator to rapidly upload and interact with your own enterprise data via chat.
- When should I choose mage-ai over entaoai?
- Choose mage-ai over entaoai when mage-ai is primarily Python; entaoai is TypeScript; License: mage-ai is Apache-2.0, entaoai is MIT; Tags unique to mage-ai: artificial-intelligence, data-pipelines, machine-learning, python; 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 entaoai?
- Avoid if you prefer not to incorporate OpenAI's services for interacting with your enterprise data. Not recommended for those looking to use a competitor like Pinecone that focuses on vector-store based queries rather than chat interaction.
- 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 entaoai or mage-ai more popular on GitHub?
- mage-ai has more GitHub stars (8,823 vs 866). Stars measure visibility, not whether either tool fits your constraints.
- Are entaoai and mage-ai open source?
- Yes - both are open-source projects on GitHub (entaoai: MIT, mage-ai: Apache-2.0).
- Where can I find alternatives to entaoai or mage-ai?
- GraphCanon lists graph-backed alternatives at entaoai alternatives and mage-ai alternatives (entaoai markdown twin, mage-ai 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, entaoai or mage-ai?
- entaoai: 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 entaoai and mage-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: entaoai trust report; mage-ai trust report.