Comparison
omnigraph vs awesome-llm-apps
Verdict
Pick omnigraph if omnigraph is a graph engine designed for lakehouse environments, featuring git-style workflows for managing graph data. It supports operations on knowledge graphs and graph databases, and integrates with technologies, as; 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.
Markdown twin · omnigraph alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | omnigraph | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 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 Sep 18, 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
- omnigraph
- Lakehouse native graph engine with git-style workflows
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- omnigraph
- 1.1k
- awesome-llm-apps
- 136k
Forks
- omnigraph
- 250
- awesome-llm-apps
- 20k
Open issues
- omnigraph
- 56
- awesome-llm-apps
- 10
Language
- omnigraph
- Rust
- awesome-llm-apps
- Python
Adopt for
- omnigraph
- Omnigraph is a graph engine designed for lakehouse environments, featuring git-style workflows for managing graph data. It supports operations on knowledge graphs and graph databases, and integrates with technologies, as
- 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
- omnigraph
- -
- awesome-llm-apps
- -
Runtime
- omnigraph
- -
- awesome-llm-apps
- -
License
- omnigraph
- MIT
- 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
- omnigraph
- Sep 17, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- omnigraph
- Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- omnigraph
- 0d
- awesome-llm-apps
- 4d
Open issues (now)
- omnigraph
- 56
- awesome-llm-apps
- 10
Stars delta
- omnigraph
- +96 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- omnigraph
- +39 (30d)
- awesome-llm-apps
- -3 (30d)
Owner type
- omnigraph
- Organization
- awesome-llm-apps
- User
Full report
- omnigraph
- Trust report
- awesome-llm-apps
- Trust report
Choose omnigraph if…
- omnigraph is primarily Rust; awesome-llm-apps is Python.
- License: omnigraph is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database.
- omnigraph ships Docker support for self-hosted deployment.
- When you need a graph engine that integrates seamlessly with lakehouse environments, such as those using Apache Arrow, DataFusion, and S3.
When NOT to use omnigraph
- If your project does not require integration with lakehouse technologies like Apache Arrow, DataFusion, or S3, Omnigraph might not be the best fit.
- If your team is not familiar with Rust or prefers a different programming language, Omnigraph's Rust foundation might pose a learning curve or preference mismatch.
- For projects that do not benefit from git-style workflows for graph data management, Omnigraph's unique approach might add unnecessary complexity.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; omnigraph is Rust.
- License: awesome-llm-apps is Apache-2.0, omnigraph is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers AI Agents.
- 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 (ModernRelay/omnigraph) · observed Sep 20, 2026
- GitHub forks (ModernRelay/omnigraph) · observed Sep 20, 2026
- Last push (ModernRelay/omnigraph) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: omnigraph 1.1k · awesome-llm-apps 136k (synced Sep 20, 2026).
Common questions
- What is the difference between omnigraph and awesome-llm-apps?
- omnigraph: Lakehouse native graph engine with git-style workflows. 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 omnigraph over awesome-llm-apps?
- Choose omnigraph over awesome-llm-apps when omnigraph is primarily Rust; awesome-llm-apps is Python; License: omnigraph is MIT, awesome-llm-apps is Apache-2.0; Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database; omnigraph ships Docker support for self-hosted deployment; When you need a graph engine that integrates seamlessly with lakehouse environments, such as those using Apache Arrow, DataFusion, and S3.
- When should I choose awesome-llm-apps over omnigraph?
- Choose awesome-llm-apps over omnigraph when awesome-llm-apps is primarily Python; omnigraph is Rust; License: awesome-llm-apps is Apache-2.0, omnigraph is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid omnigraph?
- If your project does not require integration with lakehouse technologies like Apache Arrow, DataFusion, or S3, Omnigraph might not be the best fit. If your team is not familiar with Rust or prefers a different programming language, Omnigraph's Rust foundation might pose a learning curve or preference mismatch. For projects that do not benefit from git-style workflows for graph data management, Omnigraph's unique approach might add unnecessary complexity.
- 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 omnigraph or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 1,136). Stars measure visibility, not whether either tool fits your constraints.
- Are omnigraph and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (omnigraph: MIT, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to omnigraph or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at omnigraph alternatives and awesome-llm-apps alternatives (omnigraph 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, omnigraph or awesome-llm-apps?
- omnigraph: 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 omnigraph and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: omnigraph trust report; awesome-llm-apps trust report.