Comparison
langextract vs unstract
Verdict
Pick langextract if langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization; 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 · langextract alternatives · unstract alternatives
GraphCanon updated Oct 4, 2026
7views this month
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Trust & integrity
| Signal | langextract | unstract |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Oct 4, 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
- langextract
- Python library for extracting structured information from unstructured text using LLMs
- unstract
- LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows
Stars
- langextract
- 39k
- unstract
- 7.2k
Forks
- langextract
- 2.7k
- unstract
- 718
Open issues
- langextract
- 125
- unstract
- 95
Language
- langextract
- Python
- unstract
- Python
Adopt for
- langextract
- Langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization.
- 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
- langextract
- -
- unstract
- -
Runtime
- langextract
- -
- unstract
- -
License
- langextract
- Langextract is available under the Apache-2.0 license, allowing for broad use in both commercial and non-commercial projects with the requirement to include the license text and copyright notice.
- unstract
- AGPL-3.0
Last pushed
- langextract
- Sep 13, 2026
- unstract
- Sep 18, 2026
Categories
- langextract
- Data & Retrieval, LLM Frameworks
- unstract
- Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- langextract
- 4d
- unstract
- 1d
Open issues (now)
- langextract
- 125
- unstract
- 95
Stars delta
- langextract
- +214 (30d)
- unstract
- +313 (30d)
Open issues delta
- langextract
- +3 (30d)
- unstract
- +7 (30d)
Full report
- langextract
- Trust report
- unstract
- Trust report
Choose langextract if…
- License: langextract is Apache-2.0, unstract is AGPL-3.0.
- Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model..
- Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation..
- Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash.
- langextract ships Docker support for self-hosted deployment.
- When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities.
When NOT to use langextract
- If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality.
- When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services.
- If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases.
Choose unstract if…
- License: unstract is AGPL-3.0, langextract is Apache-2.0.
- 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 (google/langextract) · observed Sep 20, 2026
- GitHub forks (google/langextract) · observed Sep 20, 2026
- Last push (google/langextract) · observed Sep 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Zipstack/unstract) · observed Sep 20, 2026
- GitHub forks (Zipstack/unstract) · observed Sep 20, 2026
- Last push (Zipstack/unstract) · observed Sep 18, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: langextract 39k · unstract 7.2k (synced Sep 20, 2026).
Common questions
- What is the difference between langextract and unstract?
- langextract: Python library for extracting structured information from unstructured text using LLMs. 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 langextract over unstract?
- Choose langextract over unstract when License: langextract is Apache-2.0, unstract is AGPL-3.0; Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model.; Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation.; Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash; langextract ships Docker support for self-hosted deployment; When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities.
- When should I choose unstract over langextract?
- Choose unstract over langextract when License: unstract is AGPL-3.0, langextract is Apache-2.0; 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 langextract?
- If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality. When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services. If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases.
- 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 langextract or unstract more popular on GitHub?
- langextract has more GitHub stars (38,614 vs 7,245). Stars measure visibility, not whether either tool fits your constraints.
- Are langextract and unstract open source?
- Yes - both are open-source projects on GitHub (langextract: Apache-2.0, unstract: AGPL-3.0).
- Where can I find alternatives to langextract or unstract?
- GraphCanon lists graph-backed alternatives at langextract alternatives and unstract alternatives (langextract 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, langextract or unstract?
- langextract: Very active. 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 langextract and unstract?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langextract trust report; unstract trust report.