Comparison
onyx vs awesome-ai-apps
Verdict
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 flexible, customizable 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 · onyx alternatives · awesome-ai-apps alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | onyx | awesome-ai-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Slowing (182d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · 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
- onyx
- Open Source AI Platform - AI Chat with advanced features that works with every LLM
- awesome-ai-apps
- A curated collection of AI Agents and LLM Apps with various tech stacks
Stars
- onyx
- 32k
- awesome-ai-apps
- 817
Forks
- onyx
- 4.4k
- awesome-ai-apps
- 174
Open issues
- onyx
- 401
- awesome-ai-apps
- 27
Language
- onyx
- Python
- awesome-ai-apps
- HTML
Adopt for
- 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.
- awesome-ai-apps
- awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Persona
- onyx
- -
- awesome-ai-apps
- -
Runtime
- onyx
- -
- awesome-ai-apps
- -
License
- onyx
- Other (Specific license details not provided here)
- awesome-ai-apps
- Apache-2.0
Last pushed
- onyx
- Aug 16, 2026
- awesome-ai-apps
- Feb 10, 2026
Categories
- onyx
- AI Agents, Data & Retrieval, LLM Frameworks
- awesome-ai-apps
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- onyx
- Very active (96%)
- awesome-ai-apps
- Slowing (36%)
Days since push
- onyx
- 0d
- awesome-ai-apps
- 182d
Open issues (now)
- onyx
- 401
- awesome-ai-apps
- 27
Stars delta
- onyx
- +685 (30d)
- awesome-ai-apps
- Unknown
Open issues delta
- onyx
- -94 (30d)
- awesome-ai-apps
- Unknown
Owner type
- onyx
- Organization
- awesome-ai-apps
- User
Full report
- onyx
- Trust report
- awesome-ai-apps
- Trust report
Choose onyx if…
- onyx is primarily Python; awesome-ai-apps is HTML.
- License: onyx is Other, awesome-ai-apps is Apache-2.0.
- 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.
Choose awesome-ai-apps if…
- awesome-ai-apps is primarily HTML; onyx is Python.
- License: awesome-ai-apps is Apache-2.0, onyx is Other.
- Tags unique to awesome-ai-apps: agents, ai, apps, automation.
- 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 (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 (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: onyx 32k · awesome-ai-apps 817 (synced Aug 16, 2026).
Common questions
- What is the difference between onyx and awesome-ai-apps?
- onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. 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 onyx over awesome-ai-apps?
- Choose onyx over awesome-ai-apps when onyx is primarily Python; awesome-ai-apps is HTML; License: onyx is Other, awesome-ai-apps is Apache-2.0; 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 choose awesome-ai-apps over onyx?
- Choose awesome-ai-apps over onyx when awesome-ai-apps is primarily HTML; onyx is Python; License: awesome-ai-apps is Apache-2.0, onyx is Other; Tags unique to awesome-ai-apps: agents, ai, apps, automation; For exploring real-world implementations of AI agents across different technologies.
- 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.
- 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 onyx or awesome-ai-apps more popular on GitHub?
- onyx has more GitHub stars (31,617 vs 817). Stars measure visibility, not whether either tool fits your constraints.
- Are onyx and awesome-ai-apps open source?
- Yes - both are open-source projects on GitHub (onyx: Other, awesome-ai-apps: Apache-2.0).
- Where can I find alternatives to onyx or awesome-ai-apps?
- GraphCanon lists graph-backed alternatives at onyx alternatives and awesome-ai-apps alternatives (onyx 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, onyx or awesome-ai-apps?
- onyx: Very active. 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 onyx and awesome-ai-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: onyx trust report; awesome-ai-apps trust report.