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Comparison

agent-learning-kit vs ragas

Verdict

Pick agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB; pick ragas if ragas is a Python-based tool designed to enhance the evaluation process of Large Language Model (LLM) applications through specialized workflows and performance insights.

Markdown twin · agent-learning-kit alternatives · ragas alternatives

GraphCanon updated 1d

agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 118pushed Aug 1, 2026
vs
ragas logo

ragas

vibrantlabsai/ragas

★ 15kpushed Feb 24, 2026

Trust & integrity

Signalagent-learning-kitragas
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Slowing (176d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 1d · 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
agent-learning-kit trust reportragas trust reportTrust methodology

Tagline

agent-learning-kit
Evaluation Framework for all your AI related Workflows
ragas
Supercharge Your LLM Application Evaluations 🚀

Stars

agent-learning-kit
118
ragas
15k

Forks

agent-learning-kit
43
ragas
1.6k

Open issues

agent-learning-kit
6
ragas
562

Language

agent-learning-kit
Python
ragas
Python

Adopt for

agent-learning-kit
Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB.
ragas
Ragas is a Python-based tool designed to enhance the evaluation process of Large Language Model (LLM) applications through specialized workflows and performance insights.

Persona

agent-learning-kit
-
ragas
developer harness

Runtime

agent-learning-kit
-
ragas
-

License

agent-learning-kit
Apache-2.0
ragas
Apache-2.0

Last pushed

agent-learning-kit
Aug 1, 2026
ragas
Feb 24, 2026

Categories

agent-learning-kit
Evaluation & Observability
ragas
Evaluation & Observability

Trust and health

Maintenance

agent-learning-kit
Very active (96%)
ragas
Slowing (36%)

Days since push

agent-learning-kit
0d
ragas
176d

Open issues (now)

agent-learning-kit
6
ragas
562

Stars delta

agent-learning-kit
Unknown
ragas
+470 (30d)

Open issues delta

agent-learning-kit
Unknown
ragas
+45 (30d)

Full report

agent-learning-kit
Trust report
ragas
Trust report

Shared compatibility

  • Python · agent-learning-kit: Python runtime · ragas: Python runtime

Choose agent-learning-kit if…

  • Tags unique to agent-learning-kit: ai-agents, ci-cd, ml.
  • When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
  • More recently updated (last pushed Aug 1, 2026).

When NOT to use agent-learning-kit

  • If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit.
  • When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
GitHubDetails

Choose ragas if…

  • Requirements: Min 4 GB RAM.
  • Tags unique to ragas: llm, llmops.
  • When you need advanced tools tailored for evaluating LLM applications, as RAGAS offers specific optimizations not found in generic testing frameworks.

When NOT to use ragas

  • If your application does not involve Large Language Models or if the evaluation needs are basic; RAGAS is optimized for LLM-specific evaluations which may be overkill for simpler systems.
  • For projects that require real-time monitoring or continuous testing of live models where more dynamic observability tools might offer better support.
GitHubDetails

Explore

agent-learning-kit trust report →ragas trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: agent-learning-kit 118 · ragas 15k (synced Aug 1, 2026).

Common questions

What is the difference between agent-learning-kit and ragas?
agent-learning-kit: Evaluation Framework for all your AI related Workflows. ragas: Supercharge Your LLM Application Evaluations 🚀. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-learning-kit over ragas?
Choose agent-learning-kit over ragas when Tags unique to agent-learning-kit: ai-agents, ci-cd, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed; More recently updated (last pushed Aug 1, 2026).
When should I choose ragas over agent-learning-kit?
Choose ragas over agent-learning-kit when Requirements: Min 4 GB RAM; Tags unique to ragas: llm, llmops; When you need advanced tools tailored for evaluating LLM applications, as RAGAS offers specific optimizations not found in generic testing frameworks.
When should I avoid agent-learning-kit?
If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB.
When should I avoid ragas?
If your application does not involve Large Language Models or if the evaluation needs are basic; RAGAS is optimized for LLM-specific evaluations which may be overkill for simpler systems. For projects that require real-time monitoring or continuous testing of live models where more dynamic observability tools might offer better support.
Is agent-learning-kit or ragas more popular on GitHub?
ragas has more GitHub stars (15,388 vs 118). Stars measure visibility, not whether either tool fits your constraints.
Are agent-learning-kit and ragas open source?
Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, ragas: Apache-2.0).
Where can I find alternatives to agent-learning-kit or ragas?
GraphCanon lists graph-backed alternatives at agent-learning-kit alternatives and ragas alternatives (agent-learning-kit markdown twin, ragas 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, agent-learning-kit or ragas?
agent-learning-kit: Very active. ragas: 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 agent-learning-kit and ragas?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-learning-kit trust report; ragas trust report.

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