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Comparison

olmo-eval vs eval-view

Verdict

Pick olmo-eval if olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks; pick eval-view if eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects.

Markdown twin · olmo-eval alternatives · eval-view alternatives

GraphCanon updated Sep 20, 2026

5views this month

olmo-eval logo

olmo-eval

allenai/olmo-eval

★ 69pushed Sep 6, 2026
vs
eval-view logo

eval-view

hidai25/eval-view

★ 134pushed Sep 5, 2026

Trust & integrity

Signalolmo-evaleval-view
Maintenance
Very active (0d since push)
As of Sep 6, 2026 · github_public_v1
Active (13d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 6, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 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 Sep 18, 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
olmo-eval trust reporteval-view trust reportTrust methodology

Tagline

olmo-eval
Olmo Evaluation Framework for LLM Tasks
eval-view
Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI

Stars

olmo-eval
69
eval-view
134

Forks

olmo-eval
19
eval-view
24

Open issues

olmo-eval
56
eval-view
2

Language

olmo-eval
Python
eval-view
Python

Adopt for

olmo-eval
Olmo-eval is an evaluation framework for large language models, using uv for reproducible builds. It focuses on modular task implementations and integrates with various datasets via defined tasks.
eval-view
Eval-view is a Python-based tool for regression testing of AI agents, supporting multiple platforms like LangGraph, CrewAI, OpenAI, and Anthropic. It snapshots AI behavior and detects regressions through diffing tool and

Persona

olmo-eval
-
eval-view
-

Runtime

olmo-eval
-
eval-view
-

License

olmo-eval
Apache-2.0
eval-view
Apache-2.0

Last pushed

olmo-eval
Sep 6, 2026
eval-view
Sep 5, 2026

Categories

olmo-eval
Evaluation & Observability
eval-view
AI Agents, Evaluation & Observability

Trust and health

Maintenance

olmo-eval
Very active (96%)
eval-view
Active (82%)

Days since push

olmo-eval
0d
eval-view
13d

Open issues (now)

olmo-eval
56
eval-view
2

Stars delta

olmo-eval
+4 (30d)
eval-view
+8 (30d)

Open issues delta

olmo-eval
+18 (30d)
eval-view
-1 (30d)

Owner type

olmo-eval
Organization
eval-view
User

Full report

olmo-eval
Trust report
eval-view
Trust report

Shared compatibility

  • Python · olmo-eval: Python runtime · eval-view: Python runtime

Choose olmo-eval if…

  • Tags unique to olmo-eval: datasets, evaluation, llm, python.
  • When you need a flexible evaluation setup that works with a variety of LLMs and datasets.
  • More recently updated (last pushed Sep 6, 2026).

When NOT to use olmo-eval

  • When you require a simpler setup that doesn't need the reproducibility constraints of uv builds.
  • If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.
GitHubDetails

Choose eval-view if…

  • Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents.
  • Also covers AI Agents.
  • When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.

When NOT to use eval-view

  • If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic.
  • When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes.
  • If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag.
  • If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this.
GitHubDetails

Explore

olmo-eval trust report →eval-view trust report →Evaluation & Observability category →AI Agents 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: olmo-eval 69 · eval-view 134 (synced Sep 20, 2026).

Common questions

What is the difference between olmo-eval and eval-view?
olmo-eval: Olmo Evaluation Framework for LLM Tasks. eval-view: Regression testing for AI agents, snapshots behavior, diffs tool calls, catches regressions in CI. See the comparison table for live GitHub stats and shared categories.
When should I choose olmo-eval over eval-view?
Choose olmo-eval over eval-view when Tags unique to olmo-eval: datasets, evaluation, llm, python; When you need a flexible evaluation setup that works with a variety of LLMs and datasets; More recently updated (last pushed Sep 6, 2026).
When should I choose eval-view over olmo-eval?
Choose eval-view over olmo-eval when Tags unique to eval-view: agent-benchmark, agent-evaluation, agentic-ai, ai-agents; Also covers AI Agents; When you need to snapshot and diff the behavior of AI agents across multiple platforms, including LangGraph, CrewAI, OpenAI, and Anthropic.
When should I avoid olmo-eval?
When you require a simpler setup that doesn't need the reproducibility constraints of uv builds. If your project already has an established evaluation toolchain and does not benefit from introducing a new framework for manageability reasons.
When should I avoid eval-view?
If you are working exclusively with AI platforms not supported by eval-view, such as those not listed among LangGraph, CrewAI, OpenAI, and Anthropic. When you do not require regression testing or behavior snapshotting for your AI agents, as eval-view is specifically designed for these purposes. If you are looking for a tool that does not involve backend API charges for executing your agent, as eval-view does not skip these charges even with the --no-judge flag. If you need a tool that automatically handles the migration from the OpenAI Assistants API to the Responses API without manual intervention, as eval-view requires following a migration guide for this.
Is olmo-eval or eval-view more popular on GitHub?
eval-view has more GitHub stars (134 vs 69). Stars measure visibility, not whether either tool fits your constraints.
Are olmo-eval and eval-view open source?
Yes - both are open-source projects on GitHub (olmo-eval: Apache-2.0, eval-view: Apache-2.0).
Where can I find alternatives to olmo-eval or eval-view?
GraphCanon lists graph-backed alternatives at olmo-eval alternatives and eval-view alternatives (olmo-eval markdown twin, eval-view 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, olmo-eval or eval-view?
olmo-eval: Very active. eval-view: 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 olmo-eval and eval-view?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: olmo-eval trust report; eval-view trust report.

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