Comparison
auto-evaluator vs airllm
Verdict
Pick auto-evaluator when auto-evaluator is primarily TypeScript; airllm is Jupyter Notebook; pick airllm when airllm is primarily Jupyter Notebook; auto-evaluator is TypeScript.
Markdown twin · auto-evaluator alternatives · airllm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | auto-evaluator | airllm |
|---|---|---|
| Maintenance | Archived (380d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 4 low (4 low) As of 2d · osv@v1 |
Tagline
- auto-evaluator
- auto-evaluator
- airllm
- AirLLM 70B inference with single 4GB GPU
Stars
- auto-evaluator
- 782
- airllm
- 22k
Forks
- auto-evaluator
- 103
- airllm
- 2.6k
Open issues
- auto-evaluator
- 21
- airllm
- 106
Language
- auto-evaluator
- TypeScript
- airllm
- Jupyter Notebook
Adopt for
- auto-evaluator
- -
- airllm
- AirLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU.
Persona
- auto-evaluator
- -
- airllm
- -
Runtime
- auto-evaluator
- -
- airllm
- -
License
- auto-evaluator
- Other
- airllm
- Apache-2.0
Last pushed
- auto-evaluator
- Jun 26, 2025
- airllm
- Jul 11, 2026
Categories
- auto-evaluator
- Inference & Serving
- airllm
- Inference & Serving
Trust and health
Maintenance
- auto-evaluator
- Archived (8%)
- airllm
- Very active (96%)
Days since push
- auto-evaluator
- 380d
- airllm
- 0d
Archived on GitHub
- auto-evaluator
- Yes
- airllm
- No
Open issues (now)
- auto-evaluator
- 21
- airllm
- 106
Owner type
- auto-evaluator
- Organization
- airllm
- User
Security scan
- auto-evaluator
- No lockfile
- airllm
- 4 low (4 low)
Full report
- auto-evaluator
- Trust report
- airllm
- Trust report
Choose auto-evaluator if…
- auto-evaluator is primarily TypeScript; airllm is Jupyter Notebook.
- License: auto-evaluator is Other, airllm is Apache-2.0.
- Tags unique to auto-evaluator: typescript.
When NOT to use auto-evaluator
- auto-evaluator is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose airllm if…
- airllm is primarily Jupyter Notebook; auto-evaluator is TypeScript.
- License: airllm is Apache-2.0, auto-evaluator is Other.
- Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply..
- Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences..
- Tags unique to airllm: llama, chinese llm, llm, instruct-gpt.
- If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
When NOT to use airllm
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency.
- Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain-ai/auto-evaluator) · observed Jul 11, 2026
- GitHub forks (langchain-ai/auto-evaluator) · observed Jul 11, 2026
- Last push (langchain-ai/auto-evaluator) · observed Jun 26, 2025
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lyogavin/airllm) · observed Jul 11, 2026
- GitHub forks (lyogavin/airllm) · observed Jul 11, 2026
- Last push (lyogavin/airllm) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 9, 2026
GitHub stars on cards: auto-evaluator 782 · airllm 22k (synced Jul 11, 2026).
Common questions
- What is the difference between auto-evaluator and airllm?
- auto-evaluator: auto-evaluator. airllm: AirLLM 70B inference with single 4GB GPU. See the comparison table for live GitHub stats and shared categories.
- When should I choose auto-evaluator over airllm?
- Choose auto-evaluator over airllm when auto-evaluator is primarily TypeScript; airllm is Jupyter Notebook; License: auto-evaluator is Other, airllm is Apache-2.0; Tags unique to auto-evaluator: typescript.
- When should I choose airllm over auto-evaluator?
- Choose airllm over auto-evaluator when airllm is primarily Jupyter Notebook; auto-evaluator is TypeScript; License: airllm is Apache-2.0, auto-evaluator is Other; Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply.; Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences.; Tags unique to airllm: llama, chinese llm, llm, instruct-gpt; If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
- When should I avoid auto-evaluator?
- auto-evaluator is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid airllm?
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency. Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
- Is auto-evaluator or airllm more popular on GitHub?
- airllm has more GitHub stars (22,399 vs 782). Stars measure visibility, not whether either tool fits your constraints.
- Are auto-evaluator and airllm open source?
- Yes - both are open-source projects on GitHub (auto-evaluator: Other, airllm: Apache-2.0).
- Where can I find alternatives to auto-evaluator or airllm?
- GraphCanon lists graph-backed alternatives at auto-evaluator alternatives and airllm alternatives (auto-evaluator markdown twin, airllm 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, auto-evaluator or airllm?
- auto-evaluator: Archived. airllm: 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 auto-evaluator and airllm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: auto-evaluator trust report; airllm trust report.