Comparison
langextract vs rellm
Verdict
Pick langextract if langextract is a Python library that leverages LLM capabilities to extract and structure data from unstructured text, providing features such as precise source grounding and interactive visualizations for improved data洞察; pick rellm if rellm is a Python tool that guarantees structured outputs from language model completions by leveraging the Hugging Face Transformers library.
Markdown twin · langextract alternatives · rellm alternatives
GraphCanon updated 4d
Trust & integrity
| Signal | langextract | rellm |
|---|---|---|
| Maintenance | Very active (4d since push) As of 4d · github_public_v1 | Dormant (1100d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal account As of 5d · 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
- langextract
- A Python library for extracting structured information from unstructured text using LLMs.
- rellm
- Exact structure out of any language model completion
Stars
- langextract
- 38k
- rellm
- 511
Forks
- langextract
- 2.7k
- rellm
- 24
Open issues
- langextract
- 122
- rellm
- 5
Language
- langextract
- Python
- rellm
- Python
Adopt for
- langextract
- langextract is a Python library that leverages LLM capabilities to extract and structure data from unstructured text, providing features such as precise source grounding and interactive visualizations for improved data洞察
- rellm
- rellm is a Python tool that guarantees structured outputs from language model completions by leveraging the Hugging Face Transformers library.
Persona
- langextract
- -
- rellm
- -
Runtime
- langextract
- -
- rellm
- -
License
- langextract
- Apache-2.0
- rellm
- MIT
Last pushed
- langextract
- Aug 11, 2026
- rellm
- Aug 10, 2023
Categories
- langextract
- LLM Frameworks, Model Training
- rellm
- LLM Frameworks, Model Training
Trust and health
Maintenance
- langextract
- Very active (96%)
- rellm
- Dormant (18%)
Days since push
- langextract
- 4d
- rellm
- 1100d
Open issues (now)
- langextract
- 122
- rellm
- 5
Stars delta
- langextract
- +1.2k (30d)
- rellm
- -2 (30d)
Open issues delta
- langextract
- +15 (30d)
- rellm
- 0 (30d)
Owner type
- langextract
- Organization
- rellm
- User
Full report
- langextract
- Trust report
- rellm
- Trust report
Shared compatibility
- Python · langextract: Python runtime · rellm: Python runtime
Choose langextract if…
- License: langextract is Apache-2.0, rellm is MIT.
- Tags unique to langextract: gemini, gemini-ai, information-extraction, large language models.
- langextract ships Docker support for self-hosted deployment.
- - When you require extraction of structured information with precise source references in your Python projects
When NOT to use langextract
- - For tasks where real-time performance is critical, as langextract relies heavily on LLMs which may introduce latency
- - When the project stack does not include Python or there's an existing strong preference for another programming language
Choose rellm if…
- License: rellm is MIT, langextract is Apache-2.0.
- Tags unique to rellm: huggingface-transformers, transformers.
- - When you require precise and exact structure in output data generated from any language model, utilizing rellm can ensure consistency.
When NOT to use rellm
- - Avoid using rellm if you are not working with the Hugging Face Transformers library or do not need structured output formats.
- - If your project can tolerate some level of unstructured or less rigidly formatted outputs from language models, other solutions might be more appropriate.
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 Aug 16, 2026
- GitHub forks (google/langextract) · observed Aug 16, 2026
- Last push (google/langextract) · observed Aug 11, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (r2d4/rellm) · observed Aug 15, 2026
- GitHub forks (r2d4/rellm) · observed Aug 15, 2026
- Last push (r2d4/rellm) · observed Aug 10, 2023
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langextract 38k · rellm 511 (synced Aug 16, 2026).
Common questions
- What is the difference between langextract and rellm?
- langextract: A Python library for extracting structured information from unstructured text using LLMs.. rellm: Exact structure out of any language model completion. See the comparison table for live GitHub stats and shared categories.
- When should I choose langextract over rellm?
- Choose langextract over rellm when License: langextract is Apache-2.0, rellm is MIT; Tags unique to langextract: gemini, gemini-ai, information-extraction, large language models; langextract ships Docker support for self-hosted deployment; - When you require extraction of structured information with precise source references in your Python projects.
- When should I choose rellm over langextract?
- Choose rellm over langextract when License: rellm is MIT, langextract is Apache-2.0; Tags unique to rellm: huggingface-transformers, transformers; - When you require precise and exact structure in output data generated from any language model, utilizing rellm can ensure consistency.
- When should I avoid langextract?
- - For tasks where real-time performance is critical, as langextract relies heavily on LLMs which may introduce latency - When the project stack does not include Python or there's an existing strong preference for another programming language
- When should I avoid rellm?
- - Avoid using rellm if you are not working with the Hugging Face Transformers library or do not need structured output formats. - If your project can tolerate some level of unstructured or less rigidly formatted outputs from language models, other solutions might be more appropriate.
- Is langextract or rellm more popular on GitHub?
- langextract has more GitHub stars (38,400 vs 511). Stars measure visibility, not whether either tool fits your constraints.
- Are langextract and rellm open source?
- Yes - both are open-source projects on GitHub (langextract: Apache-2.0, rellm: MIT).
- Where can I find alternatives to langextract or rellm?
- GraphCanon lists graph-backed alternatives at langextract alternatives and rellm alternatives (langextract markdown twin, rellm 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 rellm?
- langextract: Very active. rellm: Dormant. 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 rellm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langextract trust report; rellm trust report.