---
title: "hypersigil vs hallucination-index"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/hypersigilhq-hypersigil-vs-rungalileo-hallucination-index"
tools: ["hypersigilhq-hypersigil", "rungalileo-hallucination-index"]
---

# hypersigil vs hallucination-index

*GraphCanon updated Aug 2, 2026*

## Verdict

Pick hypersigil if hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker; pick hallucination-index if hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.

[hypersigil](https://hypersigilhq.github.io/hypersigil/introduction/) reports 27 GitHub stars, 2 forks, and 0 open issues, last pushed Apr 17, 2026. [hallucination-index](https://www.rungalileo.io/hallucinationindex) has 116 stars, 8 forks, and 1 open issues, last pushed Jul 28, 2025. Figures are from public GitHub metadata via [hypersigil's repository](https://github.com/hypersigilhq/hypersigil) and [hallucination-index's repository](https://github.com/rungalileo/hallucination-index).

| | [hypersigil](/tools/hypersigilhq-hypersigil.md) | [hallucination-index](/tools/rungalileo-hallucination-index.md) |
| --- | --- | --- |
| Tagline | Prompt management gateway with UI for AI apps. | Initiative to evaluate and rank popular LLMs based on hallucination propensity |
| Stars | 27 | 116 |
| Forks | 2 | 8 |
| Open issues | 0 | 1 |
| Language | Vue | - |
| Adopt for | Hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker. | Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | - |
| Categories | Evaluation & Observability, Inference & Serving | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [hypersigil](/tools/hypersigilhq-hypersigil.md) | [hallucination-index](/tools/rungalileo-hallucination-index.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Dormant (18%) |
| Days since push | 106d | 365d |
| Open issues (now) | 0 | 1 |
| Full report | [trust report](/tools/hypersigilhq-hypersigil/trust.md) | [trust report](/tools/rungalileo-hallucination-index/trust.md) |

## Decision facts: hypersigil

- **Adopt for:** Hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker.

## Decision facts: hallucination-index

- **Adopt for:** Hallucination-Index helps users identify LLMs with the lowest propensity for factual errors across varying context lengths and source types.

## Choose when

### Choose hypersigil if…

- Tags unique to hypersigil: llm, llm-gateway, prompt-engineering, prompt-toolkit.
- Also covers Inference & Serving.
- hypersigil ships Docker support for self-hosted deployment.
- Ideal when you need a user-friendly prompt management tool and your team prefers a UI-driven approach without deep technical knowledge.

### Choose hallucination-index if…

- Tags unique to hallucination-index: hallucinations, large language models, openai, rag.
- 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.
- More GitHub stars (116 vs 27) - visibility, not fit.

## When NOT to use hypersigil

- Avoid if your setup requires commercial selling of the software as Hypersigil's license restricts it to internal use only under Apache 2.0 with Commons Clause.
- Not recommended for teams that already have a robust, customized pipeline for prompt management without UI dependency.

## 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.

## Common questions

### What is the difference between hypersigil and hallucination-index?

hypersigil: Prompt management gateway with UI for AI apps.. hallucination-index: Initiative to evaluate and rank popular LLMs based on hallucination propensity. See the comparison table for live GitHub stats and shared categories.

### When should I choose hypersigil over hallucination-index?

Choose hypersigil over hallucination-index when Tags unique to hypersigil: llm, llm-gateway, prompt-engineering, prompt-toolkit; Also covers Inference & Serving; hypersigil ships Docker support for self-hosted deployment; Ideal when you need a user-friendly prompt management tool and your team prefers a UI-driven approach without deep technical knowledge.

### When should I choose hallucination-index over hypersigil?

Choose hallucination-index over hypersigil when Tags unique to hallucination-index: hallucinations, large language models, openai, rag; 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; More GitHub stars (116 vs 27) - visibility, not fit.

### When should I avoid hypersigil?

Avoid if your setup requires commercial selling of the software as Hypersigil's license restricts it to internal use only under Apache 2.0 with Commons Clause. Not recommended for teams that already have a robust, customized pipeline for prompt management without UI dependency.

### 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.

### Is hypersigil or hallucination-index more popular on GitHub?

hallucination-index has more GitHub stars (116 vs 27). Stars measure visibility, not whether either tool fits your constraints.

### Are hypersigil and hallucination-index open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to hypersigil or hallucination-index?

GraphCanon lists graph-backed alternatives at [hypersigil alternatives](/tools/hypersigilhq-hypersigil/alternatives) and [hallucination-index alternatives](/tools/rungalileo-hallucination-index/alternatives) ([hypersigil markdown twin](/tools/hypersigilhq-hypersigil/alternatives.md), [hallucination-index markdown twin](/tools/rungalileo-hallucination-index/alternatives.md)), 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](/compare/hypersigilhq-hypersigil-vs-rungalileo-hallucination-index.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, hypersigil or hallucination-index?

hypersigil: Slowing. hallucination-index: 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 hypersigil and hallucination-index?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hypersigil trust report](/tools/hypersigilhq-hypersigil/trust); [hallucination-index trust report](/tools/rungalileo-hallucination-index/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=hypersigilhq-hypersigil`](/api/graphcanon/graph?tool=hypersigilhq-hypersigil)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
