Comparison
shellward vs awesome-llm-apps
Verdict
Pick shellward if a tool for compliance with Chinese data regulations, offering risk assessments and runtime protection specific to these laws; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · shellward alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 12, 2026
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Trust & integrity
| Signal | shellward | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 12, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 12, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- shellward
- AI application compliance gateway
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- shellward
- 133
- awesome-llm-apps
- 136k
Forks
- shellward
- 23
- awesome-llm-apps
- 20k
Open issues
- shellward
- 4
- awesome-llm-apps
- 10
Language
- shellward
- TypeScript
- awesome-llm-apps
- Python
Adopt for
- shellward
- A tool for compliance with Chinese data regulations, offering risk assessments and runtime protection specific to these laws.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- shellward
- -
- awesome-llm-apps
- -
Runtime
- shellward
- -
- awesome-llm-apps
- -
License
- shellward
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- shellward
- Sep 9, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- shellward
- AI Agents, Evaluation & Observability
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- shellward
- 2d
- awesome-llm-apps
- 4d
Open issues (now)
- shellward
- 4
- awesome-llm-apps
- 10
Stars delta
- shellward
- +4 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- shellward
- 0 (30d)
- awesome-llm-apps
- -3 (30d)
Full report
- shellward
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Node.js · shellward: Node.js runtime · awesome-llm-apps: Node.js runtime
Choose shellward if…
- shellward is primarily TypeScript; awesome-llm-apps is Python.
- Tags unique to shellward: agent-security, ai-firewall, data-exfiltration, dlp.
- Also covers Evaluation & Observability.
- shellward ships Docker support for self-hosted deployment.
- When AI projects involve personal information or cross-border data transfers under China's regulatory framework
When NOT to use shellward
- If your AI project is not subject to Chinese laws and regulations
- For projects needing only general compliance checks without specific attention to Chinese legal requirements
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; shellward is TypeScript.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers Data & Retrieval.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jnMetaCode/shellward) · observed Sep 12, 2026
- GitHub forks (jnMetaCode/shellward) · observed Sep 12, 2026
- Last push (jnMetaCode/shellward) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: shellward 133 · awesome-llm-apps 136k (synced Sep 12, 2026).
Common questions
- What is the difference between shellward and awesome-llm-apps?
- shellward: AI application compliance gateway. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose shellward over awesome-llm-apps?
- Choose shellward over awesome-llm-apps when shellward is primarily TypeScript; awesome-llm-apps is Python; Tags unique to shellward: agent-security, ai-firewall, data-exfiltration, dlp; Also covers Evaluation & Observability; shellward ships Docker support for self-hosted deployment; When AI projects involve personal information or cross-border data transfers under China's regulatory framework.
- When should I choose awesome-llm-apps over shellward?
- Choose awesome-llm-apps over shellward when awesome-llm-apps is primarily Python; shellward is TypeScript; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid shellward?
- If your AI project is not subject to Chinese laws and regulations For projects needing only general compliance checks without specific attention to Chinese legal requirements
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is shellward or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 133). Stars measure visibility, not whether either tool fits your constraints.
- Are shellward and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (shellward: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to shellward or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at shellward alternatives and awesome-llm-apps alternatives (shellward markdown twin, awesome-llm-apps 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, shellward or awesome-llm-apps?
- shellward: Very active. awesome-llm-apps: 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 shellward and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: shellward trust report; awesome-llm-apps trust report.