Home/Compare/agentdojo vs evals

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

agentdojo logo

agentdojo

ethz-spylab/agentdojo

★ 893pushed Jun 2, 2026
vs
evals logo

evals

openai/evals

★ 19kpushed Apr 14, 2026

Trust & integrity

Signalagentdojoevals
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

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 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.

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