Comparison
stepshield vs awesome-llm-apps
Verdict
Pick stepshield when license: stepshield is Other, awesome-llm-apps is Apache-2.0; pick awesome-llm-apps when license: awesome-llm-apps is Apache-2.0, stepshield is Other.
Markdown twin · stepshield alternatives · awesome-llm-apps alternatives
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Trust & integrity
| Signal | stepshield | awesome-llm-apps |
|---|---|---|
| Maintenance | Active (8d since push) As of today · github_public_v1 | Very active (3d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | Published findings As of today · osv@v1 | No lockfile (source not queried) As of 4d · 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
- stepshield
- StepShield: When, Not Whether to Intervene on Rogue Agents, NeurIPS 2026 benchmark for temporal evaluation of AI agent guardrails (9,429 trajectories, step-level annotations)
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- stepshield
- 82
- awesome-llm-apps
- 120k
Forks
- stepshield
- 18
- awesome-llm-apps
- 18k
Open issues
- stepshield
- 16
- awesome-llm-apps
- 17
Language
- stepshield
- Python
- awesome-llm-apps
- Python
Adopt for
- stepshield
- -
- 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
- stepshield
- -
- awesome-llm-apps
- -
Runtime
- stepshield
- -
- awesome-llm-apps
- -
License
- stepshield
- Other
- 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
- stepshield
- Jul 7, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- stepshield
- AI Agents, Computer Vision, Vector Databases
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- stepshield
- Active (82%)
- awesome-llm-apps
- Very active (96%)
Days since push
- stepshield
- 8d
- awesome-llm-apps
- 3d
Open issues (now)
- stepshield
- 16
- awesome-llm-apps
- 17
OSV dependency advisories
- stepshield
- Published findings
- awesome-llm-apps
- No lockfile (source not queried)
Full report
- stepshield
- Trust report
- awesome-llm-apps
- Trust report
Shared compatibility
- Python · stepshield: Python runtime · awesome-llm-apps: Python runtime
Choose stepshield if…
- License: stepshield is Other, awesome-llm-apps is Apache-2.0.
- Tags unique to stepshield: agent-security, ai-safety, benchmark, dataset.
- Also covers Computer Vision, Vector Databases.
When NOT to use stepshield
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose awesome-llm-apps if…
- License: awesome-llm-apps is Apache-2.0, stepshield is Other.
- 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 (glo26/stepshield) · observed Jul 15, 2026
- GitHub forks (glo26/stepshield) · observed Jul 15, 2026
- Last push (glo26/stepshield) · observed Jul 7, 2026
- License file (Other) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 14, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: stepshield 82 · awesome-llm-apps 120k (synced Jul 15, 2026).
Common questions
- What is the difference between stepshield and awesome-llm-apps?
- stepshield: StepShield: When, Not Whether to Intervene on Rogue Agents, NeurIPS 2026 benchmark for temporal evaluation of AI agent guardrails (9,429 trajectories, step-level annotations). 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 stepshield over awesome-llm-apps?
- Choose stepshield over awesome-llm-apps when License: stepshield is Other, awesome-llm-apps is Apache-2.0; Tags unique to stepshield: agent-security, ai-safety, benchmark, dataset; Also covers Computer Vision, Vector Databases.
- When should I choose awesome-llm-apps over stepshield?
- Choose awesome-llm-apps over stepshield when License: awesome-llm-apps is Apache-2.0, stepshield is Other; 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 stepshield?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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 stepshield or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (119,936 vs 82). Stars measure visibility, not whether either tool fits your constraints.
- Are stepshield and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (stepshield: Other, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to stepshield or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at stepshield alternatives and awesome-llm-apps alternatives (stepshield 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, stepshield or awesome-llm-apps?
- stepshield: 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 stepshield and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stepshield trust report; awesome-llm-apps trust report.