Comparison
llms-tools vs awesome-ai-apps
Verdict
Pick llms-tools if covers tools and projects related to large language models with an emphazis on chatbots, LLM evaluation, data science, machine learning, including open-source solutions; 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 · llms-tools alternatives · awesome-ai-apps alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | llms-tools | awesome-ai-apps |
|---|---|---|
| Maintenance | Steady (57d since push) As of 3w · github_public_v1 | Slowing (182d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · 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
- llms-tools
- A list of LLMs Tools & Projects
- awesome-ai-apps
- A curated collection of AI Agents and LLM Apps with various tech stacks
Stars
- llms-tools
- 321
- awesome-ai-apps
- 817
Forks
- llms-tools
- 48
- awesome-ai-apps
- 174
Open issues
- llms-tools
- 5
- awesome-ai-apps
- 27
Language
- llms-tools
- -
- awesome-ai-apps
- HTML
Adopt for
- llms-tools
- Covers tools and projects related to large language models with an emphazis on chatbots, LLM evaluation, data science, machine learning, including open-source solutions.
- awesome-ai-apps
- awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Persona
- llms-tools
- -
- awesome-ai-apps
- -
Runtime
- llms-tools
- -
- awesome-ai-apps
- -
License
- llms-tools
- Apache-2.0
- awesome-ai-apps
- Apache-2.0
Last pushed
- llms-tools
- Jun 1, 2026
- awesome-ai-apps
- Feb 10, 2026
Categories
- llms-tools
- Evaluation & Observability, LLM Frameworks
- awesome-ai-apps
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- llms-tools
- Steady (60%)
- awesome-ai-apps
- Slowing (36%)
Days since push
- llms-tools
- 57d
- awesome-ai-apps
- 182d
Open issues (now)
- llms-tools
- 5
- awesome-ai-apps
- 27
Full report
- llms-tools
- Trust report
- awesome-ai-apps
- Trust report
Choose llms-tools if…
- Tags unique to llms-tools: chat-bot, chatbots, chatgpt, data-science.
- Also covers Evaluation & Observability.
- When you need a comprehensive list of resources specifically covering various aspects of developing or evaluating large language models involving chatbot technologies.
When NOT to use llms-tools
- Avoid if the focus is on proprietary toolsets, as llms-tools leans towards listing more of its resources under open-source classification.
- Not ideal when looking for detailed guides or tutorials to implement specific features, since it does not provide step-by-step instructions but instead a directory of relevant LLM tools.
Choose awesome-ai-apps if…
- Tags unique to awesome-ai-apps: agents, apps, automation, framework.
- 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 (PetroIvaniuk/llms-tools) · observed Jul 28, 2026
- GitHub forks (PetroIvaniuk/llms-tools) · observed Jul 28, 2026
- Last push (PetroIvaniuk/llms-tools) · observed Jun 1, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- GitHub forks (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- Last push (rohitg00/awesome-ai-apps) · observed Feb 10, 2026
- License file (Apache-2.0) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: llms-tools 321 · awesome-ai-apps 817 (synced Jul 28, 2026).
Common questions
- What is the difference between llms-tools and awesome-ai-apps?
- llms-tools: A list of LLMs Tools & Projects. 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 llms-tools over awesome-ai-apps?
- Choose llms-tools over awesome-ai-apps when Tags unique to llms-tools: chat-bot, chatbots, chatgpt, data-science; Also covers Evaluation & Observability; When you need a comprehensive list of resources specifically covering various aspects of developing or evaluating large language models involving chatbot technologies.
- When should I choose awesome-ai-apps over llms-tools?
- Choose awesome-ai-apps over llms-tools when Tags unique to awesome-ai-apps: agents, apps, automation, framework; Also covers AI Agents; For exploring real-world implementations of AI agents across different technologies.
- When should I avoid llms-tools?
- Avoid if the focus is on proprietary toolsets, as llms-tools leans towards listing more of its resources under open-source classification. Not ideal when looking for detailed guides or tutorials to implement specific features, since it does not provide step-by-step instructions but instead a directory of relevant LLM tools.
- 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 llms-tools or awesome-ai-apps more popular on GitHub?
- awesome-ai-apps has more GitHub stars (817 vs 321). Stars measure visibility, not whether either tool fits your constraints.
- Are llms-tools and awesome-ai-apps open source?
- Yes - both are open-source projects on GitHub (llms-tools: Apache-2.0, awesome-ai-apps: Apache-2.0).
- Where can I find alternatives to llms-tools or awesome-ai-apps?
- GraphCanon lists graph-backed alternatives at llms-tools alternatives and awesome-ai-apps alternatives (llms-tools 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, llms-tools or awesome-ai-apps?
- llms-tools: Steady. 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 llms-tools and awesome-ai-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llms-tools trust report; awesome-ai-apps trust report.