Comparison
ruoyi-ai vs hypersigil
Verdict
Pick ruoyi-ai if ruoyi-ai is an enterprise-focused all-in-one AI app development framework with support for model management, multi-agent collaboration, and RAG technology; pick hypersigil if hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker.
Markdown twin · ruoyi-ai alternatives · hypersigil alternatives
GraphCanon updated Sep 8, 2026
12views this month
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Trust & integrity
| Signal | ruoyi-ai | hypersigil |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 8, 2026 · github_public_v1 | Slowing (137d since push) As of Sep 2, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 2, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 26, 2026 · osv@v1 | Published findings 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
- ruoyi-ai
- 一站式AI应用开发框架
- hypersigil
- Prompt management gateway with UI for AI apps.
Stars
- ruoyi-ai
- 5.7k
- hypersigil
- 27
Forks
- ruoyi-ai
- 1.4k
- hypersigil
- 2
Open issues
- ruoyi-ai
- 4
- hypersigil
- 0
Language
- ruoyi-ai
- Java
- hypersigil
- Vue
Adopt for
- ruoyi-ai
- Ruoyi-ai is an enterprise-focused all-in-one AI app development framework with support for model management, multi-agent collaboration, and RAG technology.
- hypersigil
- Hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker.
Persona
- ruoyi-ai
- -
- hypersigil
- -
Runtime
- ruoyi-ai
- -
- hypersigil
- -
License
- ruoyi-ai
- MIT
- hypersigil
- Other
Last pushed
- ruoyi-ai
- Sep 5, 2026
- hypersigil
- Apr 17, 2026
Categories
- ruoyi-ai
- Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
- hypersigil
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- ruoyi-ai
- Very active (96%)
- hypersigil
- Slowing (36%)
Days since push
- ruoyi-ai
- 2d
- hypersigil
- 137d
Open issues (now)
- ruoyi-ai
- 4
- hypersigil
- 0
Stars delta
- ruoyi-ai
- +73 (30d)
- hypersigil
- 0 (30d)
Open issues delta
- ruoyi-ai
- +3 (30d)
- hypersigil
- 0 (30d)
Owner type
- ruoyi-ai
- User
- hypersigil
- Organization
OSV dependency advisories
- ruoyi-ai
- No lockfile (source not queried)
- hypersigil
- Published findings
Full report
- ruoyi-ai
- Trust report
- hypersigil
- Trust report
Choose ruoyi-ai if…
- ruoyi-ai is primarily Java; hypersigil is Vue.
- License: ruoyi-ai is MIT, hypersigil is Other.
- Tags unique to ruoyi-ai: agent, ai, knowledge, mcp.
- Also covers Data & Retrieval, Developer Tools, Model Training.
- When you need to integrate multiple vendor models into a single platform
When NOT to use ruoyi-ai
- Avoid if only simple AI functionalities are needed without complex model integration or management
- Not recommended for teams preferring non-Java ecosystems as the platform is Java-centric
- If immediate deployment and setup speed are critical, due to its enterprise-grade extensive features
Choose hypersigil if…
- hypersigil is primarily Vue; ruoyi-ai is Java.
- License: hypersigil is Other, ruoyi-ai is MIT.
- Tags unique to hypersigil: llm, llm-evaluation, llm-gateway, prompt-engineering.
- 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ageerle/ruoyi-ai) · observed Sep 8, 2026
- GitHub forks (ageerle/ruoyi-ai) · observed Sep 8, 2026
- Last push (ageerle/ruoyi-ai) · observed Sep 5, 2026
- License file (MIT) · observed Sep 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 26, 2026
- GitHub stars (hypersigilhq/hypersigil) · observed Sep 2, 2026
- GitHub forks (hypersigilhq/hypersigil) · observed Sep 2, 2026
- Last push (hypersigilhq/hypersigil) · observed Apr 17, 2026
- License file (Other) · observed Sep 2, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ruoyi-ai 5.7k · hypersigil 27 (synced Sep 8, 2026).
Common questions
- What is the difference between ruoyi-ai and hypersigil?
- ruoyi-ai: 一站式AI应用开发框架. hypersigil: Prompt management gateway with UI for AI apps.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ruoyi-ai over hypersigil?
- Choose ruoyi-ai over hypersigil when ruoyi-ai is primarily Java; hypersigil is Vue; License: ruoyi-ai is MIT, hypersigil is Other; Tags unique to ruoyi-ai: agent, ai, knowledge, mcp; Also covers Data & Retrieval, Developer Tools, Model Training; When you need to integrate multiple vendor models into a single platform.
- When should I choose hypersigil over ruoyi-ai?
- Choose hypersigil over ruoyi-ai when hypersigil is primarily Vue; ruoyi-ai is Java; License: hypersigil is Other, ruoyi-ai is MIT; Tags unique to hypersigil: llm, llm-evaluation, llm-gateway, prompt-engineering; 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 avoid ruoyi-ai?
- Avoid if only simple AI functionalities are needed without complex model integration or management Not recommended for teams preferring non-Java ecosystems as the platform is Java-centric If immediate deployment and setup speed are critical, due to its enterprise-grade extensive features
- 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.
- Is ruoyi-ai or hypersigil more popular on GitHub?
- ruoyi-ai has more GitHub stars (5,683 vs 27). Stars measure visibility, not whether either tool fits your constraints.
- Are ruoyi-ai and hypersigil open source?
- Yes - both are open-source projects on GitHub (ruoyi-ai: MIT, hypersigil: Other).
- Where can I find alternatives to ruoyi-ai or hypersigil?
- GraphCanon lists graph-backed alternatives at ruoyi-ai alternatives and hypersigil alternatives (ruoyi-ai markdown twin, hypersigil 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, ruoyi-ai or hypersigil?
- ruoyi-ai: Very active. hypersigil: 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 ruoyi-ai and hypersigil?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ruoyi-ai trust report; hypersigil trust report.