Comparison
entaoai vs unstract
Verdict
Pick entaoai if for firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup; pick unstract if unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license.
Markdown twin · entaoai alternatives · unstract alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | entaoai | unstract |
|---|---|---|
| Maintenance | Dormant (589d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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.
- unstract
- LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows
Stars
- entaoai
- 866
- unstract
- 6.9k
Forks
- entaoai
- 245
- unstract
- 663
Open issues
- entaoai
- 12
- unstract
- 88
Language
- entaoai
- TypeScript
- unstract
- Python
Adopt for
- entaoai
- For firms seeking to quickly integrate their enterprise data with OpenAI capabilities without extensive setup.
- unstract
- Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license.
Persona
- entaoai
- -
- unstract
- -
Runtime
- entaoai
- -
- unstract
- -
License
- entaoai
- MIT
- unstract
- AGPL-3.0
Last pushed
- entaoai
- Jan 2, 2025
- unstract
- Jul 27, 2026
Categories
- entaoai
- Data & Retrieval, LLM Frameworks
- unstract
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- entaoai
- Dormant (18%)
- unstract
- Very active (96%)
Days since push
- entaoai
- 589d
- unstract
- 0d
Open issues (now)
- entaoai
- 12
- unstract
- 88
Stars delta
- entaoai
- 0 (30d)
- unstract
- Unknown
Open issues delta
- entaoai
- 0 (30d)
- unstract
- Unknown
Owner type
- entaoai
- User
- unstract
- Organization
Full report
- entaoai
- Trust report
- unstract
- Trust report
Choose entaoai if…
- entaoai is primarily TypeScript; unstract is Python.
- License: entaoai is MIT, unstract is AGPL-3.0.
- Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search.
- 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 unstract if…
- unstract is primarily Python; entaoai is TypeScript.
- License: unstract is AGPL-3.0, entaoai is MIT.
- Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai.
- You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
When NOT to use unstract
- Your workflow strictly adheres to closed-source software management policies and requires proprietary control.
- Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing.
- Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.
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 Aug 15, 2026
- GitHub forks (akshata29/entaoai) · observed Aug 15, 2026
- Last push (akshata29/entaoai) · observed Jan 2, 2025
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Zipstack/unstract) · observed Jul 28, 2026
- GitHub forks (Zipstack/unstract) · observed Jul 28, 2026
- Last push (Zipstack/unstract) · observed Jul 27, 2026
- License file (AGPL-3.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: entaoai 866 · unstract 6.9k (synced Aug 15, 2026).
Common questions
- What is the difference between entaoai and unstract?
- entaoai: Accelerator for uploading enterprise data and using OpenAI services to interact with it.. unstract: LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose entaoai over unstract?
- Choose entaoai over unstract when entaoai is primarily TypeScript; unstract is Python; License: entaoai is MIT, unstract is AGPL-3.0; Tags unique to entaoai: azure, azure-functions, azure-openai, cognitive-search; When you need an accelerator to rapidly upload and interact with your own enterprise data via chat.
- When should I choose unstract over entaoai?
- Choose unstract over entaoai when unstract is primarily Python; entaoai is TypeScript; License: unstract is AGPL-3.0, entaoai is MIT; Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai; You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
- 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 unstract?
- Your workflow strictly adheres to closed-source software management policies and requires proprietary control. Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency.
- Is entaoai or unstract more popular on GitHub?
- unstract has more GitHub stars (6,932 vs 866). Stars measure visibility, not whether either tool fits your constraints.
- Are entaoai and unstract open source?
- Yes - both are open-source projects on GitHub (entaoai: MIT, unstract: AGPL-3.0).
- Where can I find alternatives to entaoai or unstract?
- GraphCanon lists graph-backed alternatives at entaoai alternatives and unstract alternatives (entaoai markdown twin, unstract 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 unstract?
- entaoai: Dormant. unstract: 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 unstract?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: entaoai trust report; unstract trust report.