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llm-eval vs Opik

llm-eval is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.

llm-eval is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. Opik is an MCP server published by comet-ml. Marketplaces we read that list it: 3 (Official MCP Registry, Docker MCP Catalog, PyPI (MCP servers)). As of our marketplace pass on 2026-11-07. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplacellm-evalOpik
Community marketplace barnburner121/claude-plugin-marketplace Removed on 2026-10-18
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 3
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 3.0.9
Downloads/month (PyPI): 3 591
Downloads/week (PyPI): 778
Forks (GitHub): 37
Stars (GitHub): 225
Not marked · First seen
Docker MCP Catalog Not listed Listed
Version: sha256:0e0d7d33d5eb
Forks (GitHub): 37
Pulls (Docker Hub): 17 337
Stars (Docker Hub): 1
Stars (GitHub): 225
Not marked · First seen
PyPI (MCP servers) Not listed Listed
Version: 3.0.9
Downloads/month (PyPI): 3 591
Downloads/week (PyPI): 778
Forks (GitHub): 37
Stars (GitHub): 225
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

llm-eval vs Opik
Factllm-evalno longer listed · Opik
Marketplaces that list it (differs)03
Stars (GitHub) (differs)3225
Pulls (Docker Hub) (differs)No figure on Docker Hub17 337
Forks (GitHub) (differs)037
Last release (differs)Not published2026-11-07
Where it runs (differs)On your machine (@barnburner121/plugin-hub-mcp)Remote server or your machine
Transport (differs)Not statedStreamable HTTP, stdio
Tools it declares (differs)Not published13
Environment variables it asks for (differs)Not published4, secrets among them: 1
Parts of the bundle (differs)2Not a bundle
Licence (differs)MITApache-2.0
Repository (differs)github.com/barnburner121/claude-plugin-marketplacegithub.com/comet-ml/opik-mcp
Changes in the last 7 days (differs)02
First seen (differs)2026-10-142026-10-11
Endpoint at the last check (differs)no remote endpoint we checkStatus out of date: last check 46 h ago returned HTTP 401

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of llm-eval

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • evaluation

    LLM benchmarking and evaluation including lm-evaluation-harness, BigCode Evaluation Harness, and NeMo Evaluator. Use when benchmarking models or measuring performance.

    by orchestra-research · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • promptfoo-evaluation

    Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom…

    by daymade · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • evals

    Create fine-tuned LLM-as-a-judge evaluators on the Plurai platform

    by Plurai · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • EvalForge Lite

    Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.

    by thejaredchapman · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • DeepEval

    Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.

    by confident-ai · Plugin bundle

    Listed on: Claude Code: claude-plugins-official, Community GitHub marketplaces · Describes nearly the same job

  • skill-optimizer

    Benchmark, evaluate, and optimize skills to ensure reliable performance across all LLMs

    by Fast · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

llm-eval

In its own words, on Community GitHub marketplaces:

Generate LLM evaluation and benchmarking

Opik

In its own words, on Official MCP Registry:

Read and score Opik traces, experiments, datasets and prompts from your AI assistant.

How to run each

llm-eval

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

Opik As a remote MCP server

Claude Code
claude mcp add --transport http opik-mcp https://www.comet.com/opik/api/v1/mcp

Requires: OPIK_API_KEY (secret)

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only Opik has a remote endpoint we check. How we check endpoints

Tools each declares

The marketplaces of llm-eval publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of llm-eval publish no settings it asks for, so we do not compare settings.

What it can do: llm-eval · What it can do: Opik · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Package data comes from the Python Package Index (pypi.org). Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built