Comparison
hallucination-index vs awesome-LLM-resources
Verdict
Pick hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types; pick awesome-LLM-resources if awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Markdown twin · hallucination-index alternatives · awesome-LLM-resources alternatives
GraphCanon updated Sep 20, 2026
10views this month
Trust & integrity
| Signal | hallucination-index | awesome-LLM-resources |
|---|---|---|
| Maintenance | Dormant (418d since push) As of Sep 20, 2026 · github_public_v1 | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- hallucination-index
- Initiative to evaluate and rank popular LLMs based on hallucination propensity
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- hallucination-index
- 115
- awesome-LLM-resources
- 9.0k
Forks
- hallucination-index
- 8
- awesome-LLM-resources
- 993
Open issues
- hallucination-index
- 1
- awesome-LLM-resources
- 40
Language
- hallucination-index
- -
- awesome-LLM-resources
- -
Adopt for
- hallucination-index
- Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.
- awesome-LLM-resources
- awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Persona
- hallucination-index
- -
- awesome-LLM-resources
- -
Runtime
- hallucination-index
- -
- awesome-LLM-resources
- -
License
- hallucination-index
- -
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- hallucination-index
- Jul 28, 2025
- awesome-LLM-resources
- Sep 14, 2026
Categories
- hallucination-index
- Evaluation & Observability
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- hallucination-index
- Dormant (18%)
- awesome-LLM-resources
- Very active (96%)
Days since push
- hallucination-index
- 418d
- awesome-LLM-resources
- 3d
Open issues (now)
- hallucination-index
- 1
- awesome-LLM-resources
- 40
Stars delta
- hallucination-index
- -1 (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- hallucination-index
- 0 (30d)
- awesome-LLM-resources
- +17 (30d)
Owner type
- hallucination-index
- Organization
- awesome-LLM-resources
- User
Full report
- hallucination-index
- Trust report
- awesome-LLM-resources
- Trust report
Choose hallucination-index if…
- Tags unique to hallucination-index: hallucinations, llm-evaluation, rag, retrieval-augmented generation.
- Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios.
- Leaner open-issue backlog (1).
When NOT to use hallucination-index
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance.
- Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
Choose awesome-LLM-resources if…
- Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs..
- Requirements: The repository does not specify any technical requirements for accessing its content..
- Tags unique to awesome-LLM-resources: awesome-list, book, course, llama.
- Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training.
- When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
When NOT to use awesome-LLM-resources
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider.
- When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (rungalileo/hallucination-index) · observed Sep 20, 2026
- GitHub forks (rungalileo/hallucination-index) · observed Sep 20, 2026
- Last push (rungalileo/hallucination-index) · observed Jul 28, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Sep 14, 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 on cards: hallucination-index 115 · awesome-LLM-resources 9.0k (synced Sep 20, 2026).
Common questions
- What is the difference between hallucination-index and awesome-LLM-resources?
- hallucination-index: Initiative to evaluate and rank popular LLMs based on hallucination propensity. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose hallucination-index over awesome-LLM-resources?
- Choose hallucination-index over awesome-LLM-resources when Tags unique to hallucination-index: hallucinations, llm-evaluation, rag, retrieval-augmented generation; Use when you need to ensure accuracy in short-context tasks, as it tests models like Chain-of-Note prompting techniques specifically for such scenarios; Leaner open-issue backlog (1).
- When should I choose awesome-LLM-resources over hallucination-index?
- Choose awesome-LLM-resources over hallucination-index when Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.; Requirements: The repository does not specify any technical requirements for accessing its content.; Tags unique to awesome-LLM-resources: awesome-list, book, course, llama; Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Inference & Serving, LLM Frameworks, Model Training; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
- When should I avoid hallucination-index?
- Avoid using Hallucination-Index when your application requires real-time evaluation of hallucinations, as it focuses on predefined tests rather than live model performance. Do not rely solely on this index if your primary concern is the latest updates to LLM models; its data might not reflect recent improvements in models or the introduction of new ones.
- When should I avoid awesome-LLM-resources?
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
- Is hallucination-index or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,968 vs 115). Stars measure visibility, not whether either tool fits your constraints.
- Are hallucination-index and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to hallucination-index or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at hallucination-index alternatives and awesome-LLM-resources alternatives (hallucination-index markdown twin, awesome-LLM-resources 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, hallucination-index or awesome-LLM-resources?
- hallucination-index: Dormant. awesome-LLM-resources: 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 hallucination-index and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hallucination-index trust report; awesome-LLM-resources trust report.