Comparison
ai-getting-started vs ruoyi-ai
Verdict
Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; 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.
Markdown twin · ai-getting-started alternatives · ruoyi-ai alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | ai-getting-started | ruoyi-ai |
|---|---|---|
| Maintenance | Dormant (759d since push) As of Sep 20, 2026 · github_public_v1 | Very active (2d since push) As of Sep 8, 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 8, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 26, 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
- ai-getting-started
- A Javascript AI getting started stack for weekend projects
- ruoyi-ai
- 一站式AI应用开发框架
Stars
- ai-getting-started
- 4.1k
- ruoyi-ai
- 5.7k
Forks
- ai-getting-started
- 659
- ruoyi-ai
- 1.4k
Open issues
- ai-getting-started
- 16
- ruoyi-ai
- 4
Language
- ai-getting-started
- TypeScript
- ruoyi-ai
- Java
Adopt for
- ai-getting-started
- ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations.
- 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.
Persona
- ai-getting-started
- -
- ruoyi-ai
- -
Runtime
- ai-getting-started
- -
- ruoyi-ai
- -
License
- ai-getting-started
- MIT
- ruoyi-ai
- MIT
Last pushed
- ai-getting-started
- Aug 21, 2024
- ruoyi-ai
- Sep 5, 2026
Categories
- ai-getting-started
- Developer Tools, Model Training, Vector Databases
- ruoyi-ai
- Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- ai-getting-started
- Dormant (18%)
- ruoyi-ai
- Very active (96%)
Days since push
- ai-getting-started
- 759d
- ruoyi-ai
- 2d
Open issues (now)
- ai-getting-started
- 16
- ruoyi-ai
- 4
Stars delta
- ai-getting-started
- +1 (30d)
- ruoyi-ai
- +73 (30d)
Open issues delta
- ai-getting-started
- 0 (30d)
- ruoyi-ai
- +3 (30d)
Owner type
- ai-getting-started
- Organization
- ruoyi-ai
- User
OSV dependency advisories
- ai-getting-started
- Published findings
- ruoyi-ai
- No lockfile (source not queried)
Full report
- ai-getting-started
- Trust report
- ruoyi-ai
- Trust report
Choose ai-getting-started if…
- ai-getting-started is primarily TypeScript; ruoyi-ai is Java.
- Tags unique to ai-getting-started: deployment, image models, javascript, text models.
- Also covers Vector Databases.
- ai-getting-started ships Docker support for self-hosted deployment.
- * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.
When NOT to use ai-getting-started
- * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features.
- * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.
Choose ruoyi-ai if…
- ruoyi-ai is primarily Java; ai-getting-started is TypeScript.
- Tags unique to ruoyi-ai: agent, ai, knowledge, mcp.
- Also covers Data & Retrieval, Evaluation & Observability, Inference & Serving.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (a16z-infra/ai-getting-started) · observed Sep 20, 2026
- GitHub forks (a16z-infra/ai-getting-started) · observed Sep 20, 2026
- Last push (a16z-infra/ai-getting-started) · observed Aug 21, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ageerle/ruoyi-ai) · observed Sep 20, 2026
- GitHub forks (ageerle/ruoyi-ai) · observed Sep 20, 2026
- Last push (ageerle/ruoyi-ai) · observed Sep 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 26, 2026
GitHub stars on cards: ai-getting-started 4.1k · ruoyi-ai 5.7k (synced Sep 20, 2026).
Common questions
- What is the difference between ai-getting-started and ruoyi-ai?
- ai-getting-started: A Javascript AI getting started stack for weekend projects. ruoyi-ai: 一站式AI应用开发框架. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-getting-started over ruoyi-ai?
- Choose ai-getting-started over ruoyi-ai when ai-getting-started is primarily TypeScript; ruoyi-ai is Java; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Vector Databases; ai-getting-started ships Docker support for self-hosted deployment; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development.
- When should I choose ruoyi-ai over ai-getting-started?
- Choose ruoyi-ai over ai-getting-started when ruoyi-ai is primarily Java; ai-getting-started is TypeScript; Tags unique to ruoyi-ai: agent, ai, knowledge, mcp; Also covers Data & Retrieval, Evaluation & Observability, Inference & Serving; When you need to integrate multiple vendor models into a single platform.
- When should I avoid ai-getting-started?
- * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup.
- 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
- Is ai-getting-started or ruoyi-ai more popular on GitHub?
- ruoyi-ai has more GitHub stars (5,683 vs 4,142). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-getting-started and ruoyi-ai open source?
- Yes - both are open-source projects on GitHub (ai-getting-started: MIT, ruoyi-ai: MIT).
- Where can I find alternatives to ai-getting-started or ruoyi-ai?
- GraphCanon lists graph-backed alternatives at ai-getting-started alternatives and ruoyi-ai alternatives (ai-getting-started markdown twin, ruoyi-ai 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, ai-getting-started or ruoyi-ai?
- ai-getting-started: Dormant. ruoyi-ai: 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 ai-getting-started and ruoyi-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-getting-started trust report; ruoyi-ai trust report.