Comparison
awesome-llm-apps vs Upsonic
Verdict
Pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python; pick Upsonic if upsonic focuses on creating autonomous AI agents with Python and integrates with several key frameworks and libraries.
Markdown twin · awesome-llm-apps alternatives · Upsonic alternatives
GraphCanon updated Sep 20, 2026
17views this month
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Trust & integrity
| Signal | awesome-llm-apps | Upsonic |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 | Steady (60d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
- Upsonic
- Build autonomous AI agents in Python.
Stars
- awesome-llm-apps
- 136k
- Upsonic
- 7.9k
Forks
- awesome-llm-apps
- 20k
- Upsonic
- 744
Open issues
- awesome-llm-apps
- 10
- Upsonic
- 30
Language
- awesome-llm-apps
- Python
- Upsonic
- Python
Adopt for
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
- Upsonic
- Upsonic focuses on creating autonomous AI agents with Python and integrates with several key frameworks and libraries.
Persona
- awesome-llm-apps
- -
- Upsonic
- -
Runtime
- awesome-llm-apps
- -
- Upsonic
- -
License
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
- Upsonic
- MIT
Last pushed
- awesome-llm-apps
- Sep 2, 2026
- Upsonic
- Jun 18, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- Upsonic
- AI Agents
Trust and health
Maintenance
- awesome-llm-apps
- Very active (96%)
- Upsonic
- Steady (60%)
Days since push
- awesome-llm-apps
- 4d
- Upsonic
- 60d
Open issues (now)
- awesome-llm-apps
- 10
- Upsonic
- 30
Stars delta
- awesome-llm-apps
- +5.2k (30d)
- Upsonic
- +27 (30d)
Open issues delta
- awesome-llm-apps
- -3 (30d)
- Upsonic
- 0 (30d)
Owner type
- awesome-llm-apps
- User
- Upsonic
- Organization
Full report
- awesome-llm-apps
- Trust report
- Upsonic
- Trust report
Shared compatibility
- Python · awesome-llm-apps: Python runtime · Upsonic: Python runtime
Choose awesome-llm-apps if…
- License: awesome-llm-apps is Apache-2.0, Upsonic is MIT.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers Data & Retrieval.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Choose Upsonic if…
- License: Upsonic is MIT, awesome-llm-apps is Apache-2.0.
- Tags unique to Upsonic: agent, autonomous-agent, claude, mcp.
- - When you need to build autonomous AI agents that integrate seamlessly with frameworks such as Claude, MCP, or UCP. - For projects that require reliable AI systems and support for the Universal Cornm
When NOT to use Upsonic
- - When you prefer not to use Python or are focused on a different programming language.
- - If your requirements do not align with the specific frameworks (Claude, MCP, UCP) that Upsonic is built around and you seek more general-purpose tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Upsonic/Upsonic) · observed Sep 20, 2026
- GitHub forks (Upsonic/Upsonic) · observed Sep 20, 2026
- Last push (Upsonic/Upsonic) · observed Jun 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-apps 136k · Upsonic 7.9k (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-llm-apps and Upsonic?
- awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. Upsonic: Build autonomous AI agents in Python.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-apps over Upsonic?
- Choose awesome-llm-apps over Upsonic when License: awesome-llm-apps is Apache-2.0, Upsonic is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I choose Upsonic over awesome-llm-apps?
- Choose Upsonic over awesome-llm-apps when License: Upsonic is MIT, awesome-llm-apps is Apache-2.0; Tags unique to Upsonic: agent, autonomous-agent, claude, mcp; - When you need to build autonomous AI agents that integrate seamlessly with frameworks such as Claude, MCP, or UCP. - For projects that require reliable AI systems and support for the Universal Cornm.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- When should I avoid Upsonic?
- - When you prefer not to use Python or are focused on a different programming language. - If your requirements do not align with the specific frameworks (Claude, MCP, UCP) that Upsonic is built around and you seek more general-purpose tools.
- Is awesome-llm-apps or Upsonic more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 7,942). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-apps and Upsonic open source?
- Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, Upsonic: MIT).
- Where can I find alternatives to awesome-llm-apps or Upsonic?
- GraphCanon lists graph-backed alternatives at awesome-llm-apps alternatives and Upsonic alternatives (awesome-llm-apps markdown twin, Upsonic 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-apps or Upsonic?
- awesome-llm-apps: Very active. Upsonic: Steady. 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-apps and Upsonic?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-apps trust report; Upsonic trust report.