Comparison
agentdojo vs evals
Verdict
Pick agentdojo if agentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents; pick evals if evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations.
Markdown twin · agentdojo alternatives · evals alternatives
GraphCanon updated Oct 6, 2026
8views this month
Trust & integrity
| Signal | agentdojo | evals |
|---|---|---|
| Maintenance | Slowing (125d since push) As of Oct 6, 2026 · github_public_v1 | Slowing (145d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 6, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 7, 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
- agentdojo
- A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- evals
- Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.
Stars
- agentdojo
- 893
- evals
- 19k
Forks
- agentdojo
- 235
- evals
- 3.1k
Open issues
- agentdojo
- 72
- evals
- 333
Language
- agentdojo
- Python
- evals
- Python
Adopt for
- agentdojo
- AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
- evals
- Evals is an evaluation framework from OpenAI for assessing large language models and systems built with them. It includes an open-source registry of benchmarks and tools to create custom evaluations.
Persona
- agentdojo
- -
- evals
- -
Runtime
- agentdojo
- -
- evals
- -
License
- agentdojo
- MIT
- evals
- Other
Last pushed
- agentdojo
- Jun 2, 2026
- evals
- Apr 14, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- evals
- Evaluation & Observability
Trust and health
Days since push
- agentdojo
- 125d
- evals
- 145d
Open issues (now)
- agentdojo
- 72
- evals
- 333
Stars delta
- agentdojo
- +91 (30d)
- evals
- +271 (30d)
Open issues delta
- agentdojo
- +21 (30d)
- evals
- +120 (30d)
Full report
- agentdojo
- Trust report
- evals
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · evals: Python runtime
Choose agentdojo if…
- License: agentdojo is MIT, evals is Other.
- Pricing: Open-source under the MIT License. Some advanced features might require additional libraries or APIs..
- Requirements: Min 8 GB RAM.
- Tags unique to agentdojo: benchmark, prompt-injection, security.
- Also covers AI Agents.
- AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
When NOT to use agentdojo
- Last GitHub push was Jun 2, 2026 (slowing maintenance). Validate activity before betting a new project on agentdojo.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose evals if…
- License: evals is Other, agentdojo is MIT.
- Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, llm systems.
- * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem.
When NOT to use evals
- * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key.
- * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ethz-spylab/agentdojo) · observed Oct 6, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Oct 6, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Oct 6, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (openai/evals) · observed Sep 20, 2026
- GitHub forks (openai/evals) · observed Sep 20, 2026
- Last push (openai/evals) · observed Apr 14, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentdojo 893 · evals 19k (synced Oct 6, 2026).
Common questions
- What is the difference between agentdojo and evals?
- agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. evals: Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentdojo over evals?
- Choose agentdojo over evals when License: agentdojo is MIT, evals is Other; Pricing: Open-source under the MIT License. Some advanced features might require additional libraries or APIs.; Requirements: Min 8 GB RAM; Tags unique to agentdojo: benchmark, prompt-injection, security; Also covers AI Agents; AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
- When should I choose evals over agentdojo?
- Choose evals over agentdojo when License: evals is Other, agentdojo is MIT; Tags unique to evals: benchmarking, custom eval creation, evaluation-framework, llm systems; * When you need a comprehensive set of pre-existing evals and the ability to create your own tailored tests using specific use cases, especially within the OpenAI model ecosystem.
- When should I avoid agentdojo?
- Last GitHub push was Jun 2, 2026 (slowing maintenance). Validate activity before betting a new project on agentdojo. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid evals?
- * When evaluating models or systems that do not benefit from being integrated with the OpenAI API, as some features like direct evals configuration in the OpenAI Dashboard require an OpenAI key. * If you are looking for an evaluation framework that doesn’t involve external dependencies such as Git Large File Storage (LFS) and specific Python version requirements (Python 3.9 minimum), or if a
- Is agentdojo or evals more popular on GitHub?
- evals has more GitHub stars (19,398 vs 893). Stars measure visibility, not whether either tool fits your constraints.
- Are agentdojo and evals open source?
- Yes - both are open-source projects on GitHub (agentdojo: MIT, evals: Other).
- Where can I find alternatives to agentdojo or evals?
- GraphCanon lists graph-backed alternatives at agentdojo alternatives and evals alternatives (agentdojo markdown twin, evals 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, agentdojo or evals?
- agentdojo: Slowing. evals: 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 agentdojo and evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; evals trust report.