Home/Compare/awesome-llm-webapps vs awesome-ai-apps

Comparison

awesome-llm-webapps vs awesome-ai-apps

Verdict

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 critical; pick awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.

Markdown twin · awesome-llm-webapps alternatives · awesome-ai-apps alternatives

GraphCanon updated 1w

awesome-llm-webapps logo

awesome-llm-webapps

icefort-ai/awesome-llm-webapps

720pushed Jun 29, 2025
vs
awesome-ai-apps logo

awesome-ai-apps

rohitg00/awesome-ai-apps

817pushed Feb 10, 2026

Trust & integrity

Signalawesome-llm-webappsawesome-ai-apps
Maintenance
Dormant (403d since push)
As of 2w · github_public_v1
Slowing (182d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · 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

awesome-llm-webapps
A collection of open source, actively maintained web apps for LLM applications
awesome-ai-apps
A curated collection of AI Agents and LLM Apps with various tech stacks

Stars

awesome-llm-webapps
720
awesome-ai-apps
817

Forks

awesome-llm-webapps
37
awesome-ai-apps
174

Open issues

awesome-llm-webapps
13
awesome-ai-apps
27

Language

awesome-llm-webapps
-
awesome-ai-apps
HTML

Adopt for

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
awesome-ai-apps
awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.

Persona

awesome-llm-webapps
-
awesome-ai-apps
-

Runtime

awesome-llm-webapps
-
awesome-ai-apps
-

License

awesome-llm-webapps
MIT
awesome-ai-apps
Apache-2.0

Last pushed

awesome-llm-webapps
Jun 29, 2025
awesome-ai-apps
Feb 10, 2026

Categories

awesome-llm-webapps
Inference & Serving, LLM Frameworks
awesome-ai-apps
AI Agents, LLM Frameworks

Trust and health

Maintenance

awesome-llm-webapps
Dormant (18%)
awesome-ai-apps
Slowing (36%)

Days since push

awesome-llm-webapps
403d
awesome-ai-apps
182d

Open issues (now)

awesome-llm-webapps
13
awesome-ai-apps
27

Owner type

awesome-llm-webapps
Organization
awesome-ai-apps
User

Full report

awesome-llm-webapps
Trust report
awesome-ai-apps
Trust report

Choose awesome-llm-webapps if…

  • License: awesome-llm-webapps is MIT, awesome-ai-apps is Apache-2.0.
  • 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).

Choose awesome-ai-apps if…

  • License: awesome-ai-apps is Apache-2.0, awesome-llm-webapps is MIT.
  • Tags unique to awesome-ai-apps: agents, ai, apps, automation.
  • Also covers AI Agents.
  • For exploring real-world implementations of AI agents across different technologies

When NOT to use awesome-ai-apps

  • When seeking detailed implementation steps specific to one technology stack
  • In scenarios demanding a deep dive into proprietary or less publicly-known application codes

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-llm-webapps 720 · awesome-ai-apps 817 (synced Aug 6, 2026).

Common questions

What is the difference between awesome-llm-webapps and awesome-ai-apps?
awesome-llm-webapps: A collection of open source, actively maintained web apps for LLM applications. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-llm-webapps over awesome-ai-apps?
Choose awesome-llm-webapps over awesome-ai-apps when License: awesome-llm-webapps is MIT, awesome-ai-apps is Apache-2.0; 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 choose awesome-ai-apps over awesome-llm-webapps?
Choose awesome-ai-apps over awesome-llm-webapps when License: awesome-ai-apps is Apache-2.0, awesome-llm-webapps is MIT; Tags unique to awesome-ai-apps: agents, ai, apps, automation; Also covers AI Agents; For exploring real-world implementations of AI agents across different technologies.
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).
When should I avoid awesome-ai-apps?
When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes
Is awesome-llm-webapps or awesome-ai-apps more popular on GitHub?
awesome-ai-apps has more GitHub stars (817 vs 720). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-llm-webapps and awesome-ai-apps open source?
Yes - both are open-source projects on GitHub (awesome-llm-webapps: MIT, awesome-ai-apps: Apache-2.0).
Where can I find alternatives to awesome-llm-webapps or awesome-ai-apps?
GraphCanon lists graph-backed alternatives at awesome-llm-webapps alternatives and awesome-ai-apps alternatives (awesome-llm-webapps markdown twin, awesome-ai-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, awesome-llm-webapps or awesome-ai-apps?
awesome-llm-webapps: Dormant. awesome-ai-apps: Slowing. 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-llm-webapps and awesome-ai-apps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-webapps trust report; awesome-ai-apps trust report.

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