Comparison
FastGPT vs awesome-llm-apps
Verdict
Pick FastGPT if fastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable; 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.
Markdown twin · FastGPT alternatives · awesome-llm-apps alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | FastGPT | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Very active (4d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Personal account As of 1w · 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
- FastGPT
- A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- FastGPT
- 29k
- awesome-llm-apps
- 131k
Forks
- FastGPT
- 7.3k
- awesome-llm-apps
- 19k
Open issues
- FastGPT
- 165
- awesome-llm-apps
- 13
Language
- FastGPT
- TypeScript
- awesome-llm-apps
- Python
Adopt for
- FastGPT
- FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable
- 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
- FastGPT
- -
- awesome-llm-apps
- -
Runtime
- FastGPT
- -
- awesome-llm-apps
- -
License
- FastGPT
- 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
- FastGPT
- Aug 16, 2026
- awesome-llm-apps
- Aug 3, 2026
Categories
- FastGPT
- AI Agents, Data & Retrieval, LLM Frameworks
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- FastGPT
- 0d
- awesome-llm-apps
- 4d
Open issues (now)
- FastGPT
- 165
- awesome-llm-apps
- 13
Stars delta
- FastGPT
- +360 (30d)
- awesome-llm-apps
- +14k (30d)
Open issues delta
- FastGPT
- +7 (30d)
- awesome-llm-apps
- +6 (30d)
Owner type
- FastGPT
- Organization
- awesome-llm-apps
- User
Full report
- FastGPT
- Trust report
- awesome-llm-apps
- Trust report
Typed relationship
FastGPT awesome-llm-apps
Choose FastGPT if…
- FastGPT is primarily TypeScript; awesome-llm-apps is Python.
- License: FastGPT is Other, awesome-llm-apps is Apache-2.0.
- Graph edge: FastGPT is a typed related of awesome-llm-apps - see the relationship row above.
- Tags unique to FastGPT: agent, claude, deepseek, llm.
- Also covers LLM Frameworks.
- You prioritize ease of setup and configuration for advanced AI applications.
When NOT to use FastGPT
- If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support.
- When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality.
- Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models.
Choose awesome-llm-apps if…
- awesome-llm-apps is primarily Python; FastGPT is TypeScript.
- License: awesome-llm-apps is Apache-2.0, FastGPT is Other.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Graph edge: awesome-llm-apps is a typed related of FastGPT - see the relationship row above.
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- 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 (labring/FastGPT) · observed Aug 16, 2026
- GitHub forks (labring/FastGPT) · observed Aug 16, 2026
- Last push (labring/FastGPT) · observed Aug 16, 2026
- License file (Other) · observed Aug 16, 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: FastGPT 29k · awesome-llm-apps 131k (synced Aug 16, 2026).
Common questions
- What is the difference between FastGPT and awesome-llm-apps?
- FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. 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 FastGPT over awesome-llm-apps?
- Choose FastGPT over awesome-llm-apps when FastGPT is primarily TypeScript; awesome-llm-apps is Python; License: FastGPT is Other, awesome-llm-apps is Apache-2.0; Graph edge: FastGPT is a typed related of awesome-llm-apps - see the relationship row above; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications.
- When should I choose awesome-llm-apps over FastGPT?
- Choose awesome-llm-apps over FastGPT when awesome-llm-apps is primarily Python; FastGPT is TypeScript; License: awesome-llm-apps is Apache-2.0, FastGPT is Other; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Graph edge: awesome-llm-apps is a typed related of FastGPT - see the relationship row above; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid FastGPT?
- If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models.
- 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 FastGPT or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 29,366). Stars measure visibility, not whether either tool fits your constraints.
- Are FastGPT and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (FastGPT: Other, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to FastGPT or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at FastGPT alternatives and awesome-llm-apps alternatives (FastGPT 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, FastGPT or awesome-llm-apps?
- FastGPT: 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 FastGPT and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastGPT trust report; awesome-llm-apps trust report.