Comparison
judgeval vs anything-llm
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 anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments.
Markdown twin · judgeval alternatives · anything-llm alternatives
GraphCanon updated today
Trust & integrity
| Signal | judgeval | anything-llm |
|---|---|---|
| Maintenance | Very active (3d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of 1d · none |
Tagline
- judgeval
- The Continuous-Improvement Stack for Agents
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
Stars
- judgeval
- 1.0k
- anything-llm
- 63k
Forks
- judgeval
- 93
- anything-llm
- 6.9k
Open issues
- judgeval
- 18
- anything-llm
- 320
Language
- judgeval
- Python
- anything-llm
- JavaScript
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.
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
Persona
- judgeval
- -
- anything-llm
- -
Runtime
- judgeval
- -
- anything-llm
- -
License
- judgeval
- Apache-2.0
- anything-llm
- MIT
Last pushed
- judgeval
- Jul 7, 2026
- anything-llm
- Jul 11, 2026
Categories
- judgeval
- AI Agents, Evaluation & Observability
- anything-llm
- AI Agents, Inference & Serving
Trust and health
Days since push
- judgeval
- 3d
- anything-llm
- 0d
Open issues (now)
- judgeval
- 18
- anything-llm
- 320
Full report
- judgeval
- Trust report
- anything-llm
- Trust report
Choose judgeval if…
- judgeval is primarily Python; anything-llm is JavaScript.
- License: judgeval is Apache-2.0, anything-llm is MIT.
- Tags unique to judgeval: agent, agents, 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 anything-llm if…
- anything-llm is primarily JavaScript; judgeval is Python.
- License: anything-llm is MIT, judgeval is Apache-2.0.
- Tags unique to anything-llm: agent-computer, agent-harness, llm, local-ai.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
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 (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- License file (MIT) · 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 · anything-llm 63k (synced Jul 11, 2026).
Common questions
- What is the difference between judgeval and anything-llm?
- judgeval: The Continuous-Improvement Stack for Agents. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories.
- When should I choose judgeval over anything-llm?
- Choose judgeval over anything-llm when judgeval is primarily Python; anything-llm is JavaScript; License: judgeval is Apache-2.0, anything-llm is MIT; Tags unique to judgeval: agent, agents, 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 anything-llm over judgeval?
- Choose anything-llm over judgeval when anything-llm is primarily JavaScript; judgeval is Python; License: anything-llm is MIT, judgeval is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, llm, local-ai; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- 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 anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- Is judgeval or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 1,040). Stars measure visibility, not whether either tool fits your constraints.
- Are judgeval and anything-llm open source?
- Yes - both are open-source projects on GitHub (judgeval: Apache-2.0, anything-llm: MIT).
- Where can I find alternatives to judgeval or anything-llm?
- GraphCanon lists graph-backed alternatives at judgeval alternatives and anything-llm alternatives (judgeval markdown twin, anything-llm 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 anything-llm?
- judgeval: Very active. anything-llm: 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 anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: judgeval trust report; anything-llm trust report.