Comparison
doris vs awesome-llm-apps
Verdict
Pick doris if apache Doris is a real-time analytics and hybrid search database focused on enhancing AI agents through detailed observability and high-performance big data querying; 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 · doris alternatives · awesome-llm-apps alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | doris | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (4d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- doris
- Real-time analytics and hybrid search database for AI agents
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- doris
- 16k
- awesome-llm-apps
- 131k
Forks
- doris
- 3.9k
- awesome-llm-apps
- 19k
Open issues
- doris
- 1.3k
- awesome-llm-apps
- 13
Language
- doris
- C++
- awesome-llm-apps
- Python
Adopt for
- doris
- Apache Doris is a real-time analytics and hybrid search database focused on enhancing AI agents through detailed observability and high-performance big data querying.
- 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
- doris
- -
- awesome-llm-apps
- -
Runtime
- doris
- -
- awesome-llm-apps
- -
License
- doris
- 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
- doris
- Aug 19, 2026
- awesome-llm-apps
- Aug 3, 2026
Categories
- doris
- AI Agents, Evaluation & Observability
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- doris
- 0d
- awesome-llm-apps
- 4d
Open issues (now)
- doris
- 1.3k
- awesome-llm-apps
- 13
Stars delta
- doris
- +164 (30d)
- awesome-llm-apps
- +14k (30d)
Open issues delta
- doris
- +150 (30d)
- awesome-llm-apps
- +6 (30d)
Owner type
- doris
- Organization
- awesome-llm-apps
- User
Full report
- doris
- Trust report
- awesome-llm-apps
- Trust report
Choose doris if…
- doris is primarily C++; awesome-llm-apps is Python.
- Tags unique to doris: agent, ai, bigquery, database.
- Also covers Evaluation & Observability.
- When you need a system that offers both real-time analytics capabilities and robust search features specifically designed for AI systems, enabling immediate responses to dynamic data changes.
When NOT to use doris
- If there are strict compliance requirements around third-party dependencies that might not align with the Apache 2.0 License, considering disabling certain features in Doris can be a workaround but is
- When an open-source database solution without real-time analytics and hybrid search capabilities meets your needs more efficiently or cost-effectively; Doris's niche focus may result in unnecessary b
- If you require immediate compliance with all third-party license requirements without the potential need for feature tweaking, as some components of Apache Doris might necessitate disabling certain of
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; doris is C++.
- 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 (apache/doris) · observed Aug 19, 2026
- GitHub forks (apache/doris) · observed Aug 19, 2026
- Last push (apache/doris) · observed Aug 19, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: doris 16k · awesome-llm-apps 131k (synced Aug 19, 2026).
Common questions
- What is the difference between doris and awesome-llm-apps?
- doris: Real-time analytics and hybrid search database for AI agents. 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 doris over awesome-llm-apps?
- Choose doris over awesome-llm-apps when doris is primarily C++; awesome-llm-apps is Python; Tags unique to doris: agent, ai, bigquery, database; Also covers Evaluation & Observability; When you need a system that offers both real-time analytics capabilities and robust search features specifically designed for AI systems, enabling immediate responses to dynamic data changes.
- When should I choose awesome-llm-apps over doris?
- Choose awesome-llm-apps over doris when awesome-llm-apps is primarily Python; doris is C++; 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 doris?
- If there are strict compliance requirements around third-party dependencies that might not align with the Apache 2.0 License, considering disabling certain features in Doris can be a workaround but is When an open-source database solution without real-time analytics and hybrid search capabilities meets your needs more efficiently or cost-effectively; Doris's niche focus may result in unnecessary b If you require immediate compliance with all third-party license requirements without the potential need for feature tweaking, as some components of Apache Doris might necessitate disabling certain of
- 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 doris or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 15,796). Stars measure visibility, not whether either tool fits your constraints.
- Are doris and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (doris: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to doris or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at doris alternatives and awesome-llm-apps alternatives (doris 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, doris or awesome-llm-apps?
- doris: 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 doris and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: doris trust report; awesome-llm-apps trust report.