Comparison
awesome-ai-apps vs onyx
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 onyx if onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing.
Markdown twin · awesome-ai-apps alternatives · onyx alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | awesome-ai-apps | onyx |
|---|---|---|
| Maintenance | Very active (2d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization 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.
- onyx
- Open Source AI Platform - AI Chat with advanced features that works with every LLM
Stars
- awesome-ai-apps
- 13k
- onyx
- 32k
Forks
- awesome-ai-apps
- 1.7k
- onyx
- 4.4k
Open issues
- awesome-ai-apps
- 89
- onyx
- 401
Language
- awesome-ai-apps
- Python
- onyx
- Python
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.
- onyx
- Onyx is an open-source platform tailored for developing AI chat applications that can integrate with various large language models (LLMs). It caters to developers and enterprises needing flexible, customizable solutions.
Persona
- awesome-ai-apps
- -
- onyx
- -
Runtime
- awesome-ai-apps
- -
- onyx
- -
License
- awesome-ai-apps
- MIT License ensures easy integration into both open source and proprietary projects without restrictions.
- onyx
- Other (Specific license details not provided here)
Last pushed
- awesome-ai-apps
- Jul 23, 2026
- onyx
- Aug 16, 2026
Categories
- awesome-ai-apps
- AI Agents, LLM Frameworks
- onyx
- AI Agents, Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- awesome-ai-apps
- 2d
- onyx
- 0d
Open issues (now)
- awesome-ai-apps
- 89
- onyx
- 401
Stars delta
- awesome-ai-apps
- Unknown
- onyx
- +685 (30d)
Open issues delta
- awesome-ai-apps
- Unknown
- onyx
- -94 (30d)
Owner type
- awesome-ai-apps
- User
- onyx
- Organization
Full report
- awesome-ai-apps
- Trust report
- onyx
- Trust report
Choose awesome-ai-apps if…
- License: awesome-ai-apps is MIT, onyx is Other.
- 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.
- 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 onyx if…
- License: onyx is Other, awesome-ai-apps is MIT.
- Requirements: Requires Python environment.
- Tags unique to onyx: ai-chat, enterprise-search, llm-ui, rag.
- Also covers Data & Retrieval.
- When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms.
When NOT to use onyx
- When you are already committed to a specific proprietary LLM framework with specialized needs not covered by Onyx.
- If your project does not require extensive customization or support for multiple LLMs; this could introduce unnecessary complexity.
- For scenarios where real-time collaboration and direct customer support on the platform itself are critical, as Onyx may have limitations in these areas compared to more managed solutions.
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 (onyx-dot-app/onyx) · observed Aug 16, 2026
- GitHub forks (onyx-dot-app/onyx) · observed Aug 16, 2026
- Last push (onyx-dot-app/onyx) · 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 on cards: awesome-ai-apps 13k · onyx 32k (synced Jul 26, 2026).
Common questions
- What is the difference between awesome-ai-apps and onyx?
- awesome-ai-apps: A curated list of AI applications showcasing RAG, agents, and workflows.. onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-apps over onyx?
- Choose awesome-ai-apps over onyx when License: awesome-ai-apps is MIT, onyx is Other; 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; 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 onyx over awesome-ai-apps?
- Choose onyx over awesome-ai-apps when License: onyx is Other, awesome-ai-apps is MIT; Requirements: Requires Python environment; Tags unique to onyx: ai-chat, enterprise-search, llm-ui, rag; Also covers Data & Retrieval; When you need a versatile framework that supports integration with multiple LLMs to develop customized AI chat platforms.
- 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 onyx?
- When you are already committed to a specific proprietary LLM framework with specialized needs not covered by Onyx. If your project does not require extensive customization or support for multiple LLMs; this could introduce unnecessary complexity. For scenarios where real-time collaboration and direct customer support on the platform itself are critical, as Onyx may have limitations in these areas compared to more managed solutions.
- Is awesome-ai-apps or onyx more popular on GitHub?
- onyx has more GitHub stars (31,617 vs 13,268). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-apps and onyx open source?
- Yes - both are open-source projects on GitHub (awesome-ai-apps: MIT, onyx: Other).
- Where can I find alternatives to awesome-ai-apps or onyx?
- GraphCanon lists graph-backed alternatives at awesome-ai-apps alternatives and onyx alternatives (awesome-ai-apps markdown twin, onyx 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 onyx?
- awesome-ai-apps: Very active. onyx: 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 awesome-ai-apps and onyx?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-apps trust report; onyx trust report.