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Comparison

agent-learning-kit vs uptrain

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 uptrain if upTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.

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

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agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 118pushed Aug 1, 2026
vs
uptrain logo

uptrain

uptrain-ai/uptrain

★ 2.4kpushed Aug 18, 2024

Trust & integrity

Signalagent-learning-kituptrain
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Dormant (731d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of today · 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 reportuptrain trust reportTrust methodology

Tagline

agent-learning-kit
Evaluation Framework for all your AI related Workflows
uptrain
Unified platform for evaluating and improving Generative AI applications

Stars

agent-learning-kit
118
uptrain
2.4k

Forks

agent-learning-kit
43
uptrain
204

Open issues

agent-learning-kit
6
uptrain
58

Language

agent-learning-kit
Python
uptrain
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.
uptrain
UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.

Persona

agent-learning-kit
-
uptrain
-

Runtime

agent-learning-kit
-
uptrain
-

License

agent-learning-kit
Apache-2.0
uptrain
The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution.

Last pushed

agent-learning-kit
Aug 1, 2026
uptrain
Aug 18, 2024

Categories

agent-learning-kit
Evaluation & Observability
uptrain
Evaluation & Observability

Trust and health

Maintenance

agent-learning-kit
Very active (96%)
uptrain
Dormant (18%)

Days since push

agent-learning-kit
0d
uptrain
731d

Open issues (now)

agent-learning-kit
6
uptrain
58

Stars delta

agent-learning-kit
Unknown
uptrain
+4 (30d)

Open issues delta

agent-learning-kit
Unknown
uptrain
+3 (30d)

Full report

agent-learning-kit
Trust report
uptrain
Trust report

Shared compatibility

  • Python · agent-learning-kit: Python runtime · uptrain: 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 uptrain if…

  • UpTrain can be installed on-premises using pip or accessed through a managed version.
  • Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection.
  • uptrain ships Docker support for self-hosted deployment.
  • - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.

When NOT to use uptrain

  • - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis.
  • - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.
GitHubDetails

Explore

agent-learning-kit trust report →uptrain 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 · uptrain 2.4k (synced Aug 1, 2026).

Common questions

What is the difference between agent-learning-kit and uptrain?
agent-learning-kit: Evaluation Framework for all your AI related Workflows. uptrain: Unified platform for evaluating and improving Generative AI applications. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-learning-kit over uptrain?
Choose agent-learning-kit over uptrain 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 uptrain over agent-learning-kit?
Choose uptrain over agent-learning-kit when UpTrain can be installed on-premises using pip or accessed through a managed version; Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection; uptrain ships Docker support for self-hosted deployment; - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.
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 uptrain?
- When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis. - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.
Is agent-learning-kit or uptrain more popular on GitHub?
uptrain has more GitHub stars (2,359 vs 118). Stars measure visibility, not whether either tool fits your constraints.
Are agent-learning-kit and uptrain open source?
Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, uptrain: Apache-2.0).
Where can I find alternatives to agent-learning-kit or uptrain?
GraphCanon lists graph-backed alternatives at agent-learning-kit alternatives and uptrain alternatives (agent-learning-kit markdown twin, uptrain 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 uptrain?
agent-learning-kit: Very active. uptrain: 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 agent-learning-kit and uptrain?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-learning-kit trust report; uptrain trust report.

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