Comparison
awesome-llm-apps vs valuecell
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 valuecell if valueCell is a Python-based community-driven platform designed for developing and deploying AI agents in financial domains such as equity, crypto, and stock-market investments.
Markdown twin · awesome-llm-apps alternatives · valuecell alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-llm-apps | valuecell |
|---|---|---|
| Maintenance | Very active (4d since push) As of 2w · github_public_v1 | Slowing (139d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
- valuecell
- Community-driven multi-agent platform for financial applications
Stars
- awesome-llm-apps
- 131k
- valuecell
- 11k
Forks
- awesome-llm-apps
- 19k
- valuecell
- 1.8k
Open issues
- awesome-llm-apps
- 13
- valuecell
- 65
Language
- awesome-llm-apps
- Python
- valuecell
- 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.
- valuecell
- ValueCell is a Python-based community-driven platform designed for developing and deploying AI agents in financial domains such as equity, crypto, and stock-market investments.
Persona
- awesome-llm-apps
- -
- valuecell
- -
Runtime
- awesome-llm-apps
- -
- valuecell
- -
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.
- valuecell
- The Apache-2.0 license allows for commercial and private use but requires preservation of the copyright notices and disclaimers.
Last pushed
- awesome-llm-apps
- Aug 3, 2026
- valuecell
- Mar 9, 2026
Categories
- awesome-llm-apps
- AI Agents, Data & Retrieval
- valuecell
- AI Agents
Trust and health
Maintenance
- awesome-llm-apps
- Very active (96%)
- valuecell
- Slowing (36%)
Days since push
- awesome-llm-apps
- 4d
- valuecell
- 139d
Open issues (now)
- awesome-llm-apps
- 13
- valuecell
- 65
Stars delta
- awesome-llm-apps
- +14k (30d)
- valuecell
- Unknown
Open issues delta
- awesome-llm-apps
- +6 (30d)
- valuecell
- Unknown
Owner type
- awesome-llm-apps
- User
- valuecell
- Organization
Full report
- awesome-llm-apps
- Trust report
- valuecell
- Trust report
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: applications, customizable, deployable, llms.
- 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 valuecell if…
- Pricing: Free to start with potential paid tiers for advanced features or support, typical in open-source products complemented by business models..
- Tags unique to valuecell: agentic-ai, financial-applications.
- When you require a tool specifically tuned towards the development of multi-agent systems within financial applications like stock markets or equity trades.
When NOT to use valuecell
- For projects that need broad, non-financial domain-specific functionalities as ValueCell focuses on specialized finance-related operations.
- If you seek a tool with a wider scope beyond the financial sector, such as healthcare or environmental monitoring, where other platforms might be more appropriate.
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 Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ValueCell-ai/valuecell) · observed Jul 26, 2026
- GitHub forks (ValueCell-ai/valuecell) · observed Jul 26, 2026
- Last push (ValueCell-ai/valuecell) · observed Mar 9, 2026
- License file (Apache-2.0) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-apps 131k · valuecell 11k (synced Aug 7, 2026).
Common questions
- What is the difference between awesome-llm-apps and valuecell?
- awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. valuecell: Community-driven multi-agent platform for financial applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-apps over valuecell?
- Choose awesome-llm-apps over valuecell when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: applications, customizable, deployable, llms; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I choose valuecell over awesome-llm-apps?
- Choose valuecell over awesome-llm-apps when Pricing: Free to start with potential paid tiers for advanced features or support, typical in open-source products complemented by business models.; Tags unique to valuecell: agentic-ai, financial-applications; When you require a tool specifically tuned towards the development of multi-agent systems within financial applications like stock markets or equity trades.
- 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 valuecell?
- For projects that need broad, non-financial domain-specific functionalities as ValueCell focuses on specialized finance-related operations. If you seek a tool with a wider scope beyond the financial sector, such as healthcare or environmental monitoring, where other platforms might be more appropriate.
- Is awesome-llm-apps or valuecell more popular on GitHub?
- awesome-llm-apps has more GitHub stars (131,230 vs 10,949). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-apps and valuecell open source?
- Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, valuecell: Apache-2.0).
- Where can I find alternatives to awesome-llm-apps or valuecell?
- GraphCanon lists graph-backed alternatives at awesome-llm-apps alternatives and valuecell alternatives (awesome-llm-apps markdown twin, valuecell 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 valuecell?
- awesome-llm-apps: Very active. valuecell: 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 awesome-llm-apps and valuecell?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-apps trust report; valuecell trust report.