Comparison
awesome-ai-apps vs awesome-llm-webapps
Verdict
Pick awesome-ai-apps if awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python; pick awesome-llm-webapps if awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights.
Markdown twin · awesome-ai-apps alternatives · awesome-llm-webapps alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-ai-apps | awesome-llm-webapps |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1mo · github_public_v1 | Dormant (403d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Organization 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
- awesome-ai-apps
- A curated list of AI applications showcasing RAG, agents, and workflows.
- awesome-llm-webapps
- A collection of open source, actively maintained web apps for LLM applications
Stars
- awesome-ai-apps
- 13k
- awesome-llm-webapps
- 720
Forks
- awesome-ai-apps
- 1.7k
- awesome-llm-webapps
- 37
Open issues
- awesome-ai-apps
- 89
- awesome-llm-webapps
- 13
Language
- awesome-ai-apps
- Python
- awesome-llm-webapps
- -
Adopt for
- awesome-ai-apps
- awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python.
- awesome-llm-webapps
- awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical
Persona
- awesome-ai-apps
- -
- awesome-llm-webapps
- -
Runtime
- awesome-ai-apps
- -
- awesome-llm-webapps
- -
License
- awesome-ai-apps
- MIT License ensures easy integration into both open source and proprietary projects without restrictions.
- awesome-llm-webapps
- MIT
Last pushed
- awesome-ai-apps
- Jul 23, 2026
- awesome-llm-webapps
- Jun 29, 2025
Categories
- awesome-ai-apps
- AI Agents, LLM Frameworks
- awesome-llm-webapps
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- awesome-ai-apps
- Very active (96%)
- awesome-llm-webapps
- Dormant (18%)
Days since push
- awesome-ai-apps
- 2d
- awesome-llm-webapps
- 403d
Open issues (now)
- awesome-ai-apps
- 89
- awesome-llm-webapps
- 13
Owner type
- awesome-ai-apps
- User
- awesome-llm-webapps
- Organization
Full report
- awesome-ai-apps
- Trust report
- awesome-llm-webapps
- Trust report
Shared compatibility
- Python · awesome-ai-apps: Python runtime · awesome-llm-webapps: Python runtime
Choose awesome-ai-apps if…
- Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts..
- Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed..
- Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm.
- Also covers AI Agents.
- Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
When NOT to use awesome-ai-apps
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python.
- Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
Choose awesome-llm-webapps if…
- Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms..
- Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems.
- Also covers Inference & Serving.
- - When you need to start an LLM project quickly with a high-quality base application.
When NOT to use awesome-llm-webapps
- - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository.
- - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods).
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Arindam200/awesome-ai-apps) · observed Jul 26, 2026
- GitHub forks (Arindam200/awesome-ai-apps) · observed Jul 26, 2026
- Last push (Arindam200/awesome-ai-apps) · observed Jul 23, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (icefort-ai/awesome-llm-webapps) · observed Aug 6, 2026
- GitHub forks (icefort-ai/awesome-llm-webapps) · observed Aug 6, 2026
- Last push (icefort-ai/awesome-llm-webapps) · observed Jun 29, 2025
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-apps 13k · awesome-llm-webapps 720 (synced Jul 26, 2026).
Common questions
- What is the difference between awesome-ai-apps and awesome-llm-webapps?
- awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. awesome-llm-webapps: A collection of open source, actively maintained web apps for LLM applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over awesome-llm-webapps?
- Choose awesome-ai-apps over awesome-llm-webapps when Pricing: As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts.; Requirements: Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed.; Tags unique to awesome-ai-apps: agents, ai, hacktoberfest, llm; Also covers AI Agents; Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.
- When should I choose awesome-llm-webapps over awesome-ai-apps?
- Choose awesome-llm-webapps over awesome-ai-apps when Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms.; Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems; Also covers Inference & Serving; - When you need to start an LLM project quickly with a high-quality base application.
- When should I avoid awesome-ai-apps?
- Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python. Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents.
- When should I avoid awesome-llm-webapps?
- - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository. - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods).
- Is awesome-ai-apps or awesome-llm-webapps more popular on GitHub?
- awesome-ai-apps has more GitHub stars (13,268 vs 720). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and awesome-llm-webapps open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, awesome-llm-webapps: MIT).
- Where can I find alternatives to awesome-ai-apps or awesome-llm-webapps?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and awesome-llm-webapps alternatives (awesome-ai-apps markdown twin, awesome-llm-webapps 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, awesome-ai-apps or awesome-llm-webapps?
- awesome-ai-apps: Very active. awesome-llm-webapps: Dormant. 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 awesome-ai-apps and awesome-llm-webapps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; awesome-llm-webapps trust report.