Comparison
langextract vs annotateai
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 annotateai if annotateai uses LLMs to automate the annotation of scientific and medical papers. It's open-source under Apache-2.0, categorized as an LLM Framework and Data & Retrieval tool.
Markdown twin · langextract alternatives · annotateai alternatives
GraphCanon updated Sep 20, 2026
8views this month
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Trust & integrity
| Signal | langextract | annotateai |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (137d 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 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
- langextract
- Python library for extracting structured information from unstructured text using LLMs
- annotateai
- Automatically annotate papers using LLMs
Stars
- langextract
- 39k
- annotateai
- 426
Forks
- langextract
- 2.7k
- annotateai
- 43
Open issues
- langextract
- 125
- annotateai
- 0
Language
- langextract
- Python
- annotateai
- 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.
- annotateai
- annotateai uses LLMs to automate the annotation of scientific and medical papers. It's open-source under Apache-2.0, categorized as an LLM Framework and Data & Retrieval tool.
Persona
- langextract
- -
- annotateai
- -
Runtime
- langextract
- -
- annotateai
- -
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.
- annotateai
- Apache-2.0
Last pushed
- langextract
- Sep 13, 2026
- annotateai
- May 5, 2026
Categories
- langextract
- Data & Retrieval, LLM Frameworks
- annotateai
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- langextract
- Very active (96%)
- annotateai
- Slowing (36%)
Days since push
- langextract
- 4d
- annotateai
- 137d
Open issues (now)
- langextract
- 125
- annotateai
- 0
Stars delta
- langextract
- +214 (30d)
- annotateai
- +4 (30d)
Open issues delta
- langextract
- +3 (30d)
- annotateai
- 0 (30d)
Full report
- langextract
- Trust report
- annotateai
- Trust report
Shared compatibility
- Python · langextract: Python runtime · annotateai: Python runtime
Choose langextract if…
- 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 annotateai if…
- Tags unique to annotateai: ai, artificial-intelligence, machine-learning, medical.
- Need automated annotations for large volumes of scientific or medical papers
- Leaner open-issue backlog (0).
When NOT to use annotateai
- Require detailed, custom annotations that go beyond general LLML capabilities
- Situations where regulatory approval necessitates human review over machine-generated annotations
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 (neuml/annotateai) · observed Sep 20, 2026
- GitHub forks (neuml/annotateai) · observed Sep 20, 2026
- Last push (neuml/annotateai) · observed May 5, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langextract 39k · annotateai 426 (synced Sep 20, 2026).
Common questions
- What is the difference between langextract and annotateai?
- langextract: Python library for extracting structured information from unstructured text using LLMs. annotateai: Automatically annotate papers using LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose langextract over annotateai?
- Choose langextract over annotateai when 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 annotateai over langextract?
- Choose annotateai over langextract when Tags unique to annotateai: ai, artificial-intelligence, machine-learning, medical; Need automated annotations for large volumes of scientific or medical papers; Leaner open-issue backlog (0).
- 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 annotateai?
- Require detailed, custom annotations that go beyond general LLML capabilities Situations where regulatory approval necessitates human review over machine-generated annotations
- Is langextract or annotateai more popular on GitHub?
- langextract has more GitHub stars (38,614 vs 426). Stars measure visibility, not whether either tool fits your constraints.
- Are langextract and annotateai open source?
- Yes - both are open-source projects on GitHub (langextract: Apache-2.0, annotateai: Apache-2.0).
- Where can I find alternatives to langextract or annotateai?
- GraphCanon lists graph-backed alternatives at langextract alternatives and annotateai alternatives (langextract markdown twin, annotateai 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 annotateai?
- langextract: Very active. annotateai: Slowing. 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 annotateai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langextract trust report; annotateai trust report.