Comparison
awesome-ai-apps vs open-llms
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 open-llms if critical Facts for 'open-llms' Tool Usage.
Markdown twin · awesome-ai-apps alternatives · open-llms alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | awesome-ai-apps | open-llms |
|---|---|---|
| Maintenance | Very active (2d since push) As of 3w · github_public_v1 | Dormant (549d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 4d · 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.
- open-llms
- A list of open LLMs available for commercial use.
Stars
- awesome-ai-apps
- 13k
- open-llms
- 13k
Forks
- awesome-ai-apps
- 1.7k
- open-llms
- 985
Open issues
- awesome-ai-apps
- 89
- open-llms
- 11
Language
- awesome-ai-apps
- Python
- open-llms
- -
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.
- open-llms
- Critical Facts for 'open-llms' Tool Usage
Persona
- awesome-ai-apps
- -
- open-llms
- -
Runtime
- awesome-ai-apps
- -
- open-llms
- -
License
- awesome-ai-apps
- MIT License ensures easy integration into both open source and proprietary projects without restrictions.
- open-llms
- The repository itself is licensed under the permissive Apache-2.0 license; however, it aggregates data about various LLMs that may have differing licensing conditions including but not limited to the
Last pushed
- awesome-ai-apps
- Jul 23, 2026
- open-llms
- Feb 13, 2025
Categories
- awesome-ai-apps
- AI Agents, LLM Frameworks
- open-llms
- LLM Frameworks
Trust and health
Maintenance
- awesome-ai-apps
- Very active (96%)
- open-llms
- Dormant (18%)
Days since push
- awesome-ai-apps
- 2d
- open-llms
- 549d
Open issues (now)
- awesome-ai-apps
- 89
- open-llms
- 11
Stars delta
- awesome-ai-apps
- Unknown
- open-llms
- +18 (30d)
Open issues delta
- awesome-ai-apps
- Unknown
- open-llms
- -2 (30d)
Full report
- awesome-ai-apps
- Trust report
- open-llms
- Trust report
Choose awesome-ai-apps if…
- License: awesome-ai-apps is MIT, open-llms is Apache-2.0.
- 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, mcp.
- 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 open-llms if…
- License: open-llms is Apache-2.0, awesome-ai-apps is MIT.
- Pricing: Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements..
- Tags unique to open-llms: commercial, large language models, llms.
- When you need a curated list of open-source large language models (LLMs) that are specifically licensed for commercial use.
When NOT to use open-llms
- If you require proprietary or closed-source LLMs as this repository exclusively lists open-source models that are available for commercial use under permissive licenses such as Apache 2.0.
- For projects needing a detailed technical implementation guide of each listed LLM, since 'open-llms' acts primarily as an index rather than providing in-depth tutorials on implementing and training L4
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 (eugeneyan/open-llms) · observed Aug 17, 2026
- GitHub forks (eugeneyan/open-llms) · observed Aug 17, 2026
- Last push (eugeneyan/open-llms) · observed Feb 13, 2025
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-apps 13k · open-llms 13k (synced Jul 26, 2026).
Common questions
- What is the difference between awesome-ai-apps and open-llms?
- awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. open-llms: A list of open LLMs available for commercial use.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over open-llms?
- Choose awesome-ai-apps over open-llms when License: awesome-ai-apps is MIT, open-llms is Apache-2.0; 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, mcp; 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 open-llms over awesome-ai-apps?
- Choose open-llms over awesome-ai-apps when License: open-llms is Apache-2.0, awesome-ai-apps is MIT; Pricing: Free and open-source models for commercial use are listed here. Usage of the models themselves varies by license, with some possibly requiring contributions or acknowledgements.; Tags unique to open-llms: commercial, large language models, llms; When you need a curated list of open-source large language models (LLMs) that are specifically licensed for commercial use.
- 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 open-llms?
- If you require proprietary or closed-source LLMs as this repository exclusively lists open-source models that are available for commercial use under permissive licenses such as Apache 2.0. For projects needing a detailed technical implementation guide of each listed LLM, since 'open-llms' acts primarily as an index rather than providing in-depth tutorials on implementing and training L4
- Is awesome-ai-apps or open-llms more popular on GitHub?
- awesome-ai-apps has more GitHub stars (13,268 vs 12,849). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and open-llms open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, open-llms: Apache-2.0).
- Where can I find alternatives to awesome-ai-apps or open-llms?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and open-llms alternatives (awesome-ai-apps markdown twin, open-llms 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 open-llms?
- awesome-ai-apps: Very active. open-llms: 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 open-llms?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; open-llms trust report.