Home/Compare/awesome-evals vs examor

Comparison

awesome-evals vs examor

Verdict

Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick examor if examor uses LLMs such as Claude2 and GPT-4 within an app framework inspired by Ebbinghaus memory theories.

Markdown twin · awesome-evals alternatives · examor alternatives

GraphCanon updated 2d

awesome-evals logo

awesome-evals

benchflow-ai/awesome-evals

761pushed Jul 1, 2026
vs
examor logo

examor

codeacme17/examor

1.1kpushed Jun 18, 2025

Trust & integrity

Signalawesome-evalsexamor
Maintenance
Active (26d since push)
As of 2w · github_public_v1
Dormant (422d since push)
As of 2d · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2d · 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-evals
A curated library of resources for building and evaluating AI agents
examor
LLMs assist in learning for students, scholars, interviewees

Stars

awesome-evals
761
examor
1.1k

Forks

awesome-evals
71
examor
64

Open issues

awesome-evals
21
examor
2

Language

awesome-evals
-
examor
TypeScript

Adopt for

awesome-evals
Curated resources for AI agent evaluation with BenchFlow backing its maintenance
examor
Examor uses LLMs such as Claude2 and GPT-4 within an app framework inspired by Ebbinghaus memory theories.

Persona

awesome-evals
-
examor
-

Runtime

awesome-evals
-
examor
-

License

awesome-evals
Other
examor
AGPL-3.0

Last pushed

awesome-evals
Jul 1, 2026
examor
Jun 18, 2025

Categories

awesome-evals
AI Agents, Evaluation & Observability
examor
Developer Tools, Evaluation & Observability

Trust and health

Maintenance

awesome-evals
Active (82%)
examor
Dormant (18%)

Days since push

awesome-evals
26d
examor
422d

Open issues (now)

awesome-evals
21
examor
2

Stars delta

awesome-evals
Unknown
examor
+2 (30d)

Open issues delta

awesome-evals
Unknown
examor
0 (30d)

Owner type

awesome-evals
Organization
examor
User

Full report

awesome-evals
Trust report

Choose awesome-evals if…

  • License: awesome-evals is Other, examor is AGPL-3.0.
  • Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
  • Also covers AI Agents.
  • Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation

When NOT to use awesome-evals

  • Require real-time interactive support or direct tool integrations not covered by a static resource list
  • Seeking proprietary tools from specific vendors rather than open resources and community content

Choose examor if…

  • License: examor is AGPL-3.0, awesome-evals is Other.
  • Tags unique to examor: azure, claude2, ebbinghaus-memory, gpt-4.
  • Also covers Developer Tools.
  • When aiming to optimize learning with artificial memory retention strategies for students, scholars, or interview preparation.

When NOT to use examor

  • If you require direct integration with non-supported platforms like AWS Bedrock or Anthropic models not including Claude2.
  • When looking for a more generalized tool without specific learning and memory application features, such as pure code debugging assistance.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-evals 761 · examor 1.1k (synced Jul 28, 2026).

Common questions

What is the difference between awesome-evals and examor?
awesome-evals: A curated library of resources for building and evaluating AI agents. examor: LLMs assist in learning for students, scholars, interviewees. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-evals over examor?
Choose awesome-evals over examor when License: awesome-evals is Other, examor is AGPL-3.0; Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
When should I choose examor over awesome-evals?
Choose examor over awesome-evals when License: examor is AGPL-3.0, awesome-evals is Other; Tags unique to examor: azure, claude2, ebbinghaus-memory, gpt-4; Also covers Developer Tools; When aiming to optimize learning with artificial memory retention strategies for students, scholars, or interview preparation.
When should I avoid awesome-evals?
Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
When should I avoid examor?
If you require direct integration with non-supported platforms like AWS Bedrock or Anthropic models not including Claude2. When looking for a more generalized tool without specific learning and memory application features, such as pure code debugging assistance.
Is awesome-evals or examor more popular on GitHub?
examor has more GitHub stars (1,070 vs 761). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-evals and examor open source?
Yes - both are open-source projects on GitHub (awesome-evals: Other, examor: AGPL-3.0).
Where can I find alternatives to awesome-evals or examor?
GraphCanon lists graph-backed alternatives at awesome-evals alternatives and examor alternatives (awesome-evals markdown twin, examor 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-evals or examor?
awesome-evals: Active. examor: Dormant. 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-evals and examor?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; examor trust report.

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