Comparison
judgeval vs awesome-llm-apps
Verdict
Pick judgeval if judgeval is a Python tool that aids in the continuous improvement of AI agents through comprehensive environment data and evaluations, supporting methodologies like reinforcement learning and prompt engineering; 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.
Markdown twin · judgeval alternatives · awesome-llm-apps alternatives
GraphCanon updated today
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Trust & integrity
| Signal | judgeval | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (3d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- judgeval
- The Continuous-Improvement Stack for Agents
- awesome-llm-apps
- 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
Stars
- judgeval
- 1.0k
- awesome-llm-apps
- 118k
Forks
- judgeval
- 93
- awesome-llm-apps
- 17k
Open issues
- judgeval
- 18
- awesome-llm-apps
- 6
Language
- judgeval
- Python
- awesome-llm-apps
- Python
Adopt for
- judgeval
- Judgeval is a Python tool that aids in the continuous improvement of AI agents through comprehensive environment data and evaluations, supporting methodologies like reinforcement learning and prompt engineering.
- 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.
Persona
- judgeval
- -
- awesome-llm-apps
- -
Runtime
- judgeval
- -
- awesome-llm-apps
- -
License
- judgeval
- Apache-2.0
- 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.
Last pushed
- judgeval
- Jul 7, 2026
- awesome-llm-apps
- Jul 11, 2026
Categories
- judgeval
- AI Agents, Evaluation & Observability
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- judgeval
- 3d
- awesome-llm-apps
- 0d
Open issues (now)
- judgeval
- 18
- awesome-llm-apps
- 6
Owner type
- judgeval
- Organization
- awesome-llm-apps
- User
Full report
- judgeval
- Trust report
- awesome-llm-apps
- Trust report
Choose judgeval if…
- Tags unique to judgeval: agent, agentic-ai, grpo, langchain.
- Also covers Evaluation & Observability.
- You are working on an AI project where continuous monitoring and enhancement of your agent's performance are critical.
When NOT to use judgeval
- If you are looking for a tool focused solely on the theoretical aspects of AI development without practical, continuous improvement methodologies.
- You require a solution that only supports evaluation metrics and does not offer integrated environment data support, diverging from Judgeval’s comprehensive approach.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (JudgmentLabs/judgeval) · observed Jul 11, 2026
- GitHub forks (JudgmentLabs/judgeval) · observed Jul 11, 2026
- Last push (JudgmentLabs/judgeval) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: judgeval 1.0k · awesome-llm-apps 118k (synced Jul 11, 2026).
Common questions
- What is the difference between judgeval and awesome-llm-apps?
- judgeval: The Continuous-Improvement Stack for Agents. awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. See the comparison table for live GitHub stats and shared categories.
- When should I choose judgeval over awesome-llm-apps?
- Choose judgeval over awesome-llm-apps when Tags unique to judgeval: agent, agentic-ai, grpo, langchain; Also covers Evaluation & Observability; You are working on an AI project where continuous monitoring and enhancement of your agent's performance are critical.
- When should I choose awesome-llm-apps over judgeval?
- Choose awesome-llm-apps over judgeval 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 avoid judgeval?
- If you are looking for a tool focused solely on the theoretical aspects of AI development without practical, continuous improvement methodologies. You require a solution that only supports evaluation metrics and does not offer integrated environment data support, diverging from Judgeval’s comprehensive approach.
- 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.
- Is judgeval or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (117,774 vs 1,040). Stars measure visibility, not whether either tool fits your constraints.
- Are judgeval and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (judgeval: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to judgeval or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at judgeval alternatives and awesome-llm-apps alternatives (judgeval markdown twin, awesome-llm-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, judgeval or awesome-llm-apps?
- judgeval: Very active. awesome-llm-apps: 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 judgeval and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: judgeval trust report; awesome-llm-apps trust report.