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Comparison

evalml vs agent-learning-kit

Verdict

Pick evalml if evalML serves Python users seeking automated machine learning services with streamlined feature engineering, selection, and hyperparameter tuning, underpinned by the BSD-3-Clause license; 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.

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

GraphCanon updated 2w

evalml logo

evalml

alteryx/evalml

★ 852pushed Jan 14, 2026
vs
agent-learning-kit logo

agent-learning-kit

future-agi/agent-learning-kit

★ 118pushed Aug 1, 2026

Trust & integrity

Signalevalmlagent-learning-kit
Maintenance
Slowing (201d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 3w · 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
evalml trust reportagent-learning-kit trust reportTrust methodology

Tagline

evalml
An AutoML library written in Python
agent-learning-kit
Evaluation Framework for all your AI related Workflows

Stars

evalml
852
agent-learning-kit
118

Forks

evalml
93
agent-learning-kit
43

Open issues

evalml
324
agent-learning-kit
6

Language

evalml
Python
agent-learning-kit
Python

Adopt for

evalml
EvalML serves Python users seeking automated machine learning services with streamlined feature engineering, selection, and hyperparameter tuning, underpinned by the BSD-3-Clause license.
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.

Persona

evalml
-
agent-learning-kit
-

Runtime

evalml
-
agent-learning-kit
-

License

evalml
EvalML uses the BSD-3-Clause license which allows free use, modification, and distribution but requires preservation of copyright notices.
agent-learning-kit
Apache-2.0

Last pushed

evalml
Jan 14, 2026
agent-learning-kit
Aug 1, 2026

Categories

evalml
Evaluation & Observability, Model Training
agent-learning-kit
Evaluation & Observability

Trust and health

Maintenance

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

Days since push

evalml
201d
agent-learning-kit
0d

Open issues (now)

evalml
324
agent-learning-kit
6

Full report

evalml
Trust report
agent-learning-kit
Trust report

Shared compatibility

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

Choose evalml if…

  • License: evalml is BSD-3-Clause, agent-learning-kit is Apache-2.0.
  • Pricing: Access to features comes at no cost due to its open-source nature; however, premium support can be purchased..
  • Requirements: Min 2 GB RAM.
  • Tags unique to evalml: automl, data-science, feature-engineering, feature-selection.
  • Also covers Model Training.
  • You value an intuitive API for automating model training processes in Python contexts where feature engineering and selection are critical.

When NOT to use evalml

  • You require deep customization of feature engineering processes that go beyond what EvalML automates out-of-the-box.
  • Your team prefers tools that offer more advanced explainability features for model decisions and behavior analysis, as this is a focus area lacking specific mention in EvalML's capabilities.
GitHubDetails

Choose agent-learning-kit if…

  • License: agent-learning-kit is Apache-2.0, evalml is BSD-3-Clause.
  • Tags unique to agent-learning-kit: ai-agents, ci-cd, evaluation, ml.
  • When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.

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

Explore

evalml trust report →agent-learning-kit trust report →Evaluation & Observability category →Model Training 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: evalml 852 · agent-learning-kit 118 (synced Aug 4, 2026).

Common questions

What is the difference between evalml and agent-learning-kit?
evalml: An AutoML library written in Python. agent-learning-kit: Evaluation Framework for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose evalml over agent-learning-kit?
Choose evalml over agent-learning-kit when License: evalml is BSD-3-Clause, agent-learning-kit is Apache-2.0; Pricing: Access to features comes at no cost due to its open-source nature; however, premium support can be purchased.; Requirements: Min 2 GB RAM; Tags unique to evalml: automl, data-science, feature-engineering, feature-selection; Also covers Model Training; You value an intuitive API for automating model training processes in Python contexts where feature engineering and selection are critical.
When should I choose agent-learning-kit over evalml?
Choose agent-learning-kit over evalml when License: agent-learning-kit is Apache-2.0, evalml is BSD-3-Clause; Tags unique to agent-learning-kit: ai-agents, ci-cd, evaluation, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed.
When should I avoid evalml?
You require deep customization of feature engineering processes that go beyond what EvalML automates out-of-the-box. Your team prefers tools that offer more advanced explainability features for model decisions and behavior analysis, as this is a focus area lacking specific mention in EvalML's capabilities.
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.
Is evalml or agent-learning-kit more popular on GitHub?
evalml has more GitHub stars (852 vs 118). Stars measure visibility, not whether either tool fits your constraints.
Are evalml and agent-learning-kit open source?
Yes - both are open-source projects on GitHub (evalml: BSD-3-Clause, agent-learning-kit: Apache-2.0).
Where can I find alternatives to evalml or agent-learning-kit?
GraphCanon lists graph-backed alternatives at evalml alternatives and agent-learning-kit alternatives (evalml markdown twin, agent-learning-kit 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, evalml or agent-learning-kit?
evalml: Slowing. agent-learning-kit: Very active. 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 evalml and agent-learning-kit?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalml trust report; agent-learning-kit trust report.

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