E2B vs sklearn-pipeline
sklearn-pipeline is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
E2B is an MCP server published by e2b-dev. Marketplaces we read that list it: 1 (Docker MCP Catalog). sklearn-pipeline is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. As of our marketplace pass on 2026-10-25. 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
| Marketplace |  E2B | |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:ff4f9608cc4c Forks (GitHub): 72 Pulls (Docker Hub): 23 520 Stars (Docker Hub): 2 Stars (GitHub): 392 Not marked · First seen |
Not listed |
| Community marketplace barnburner121/claude-plugin-marketplace | Not listed | Removed on 2026-10-18 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 3 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
| Fact | E2B | sklearn-pipelineno longer listed · |
|---|---|---|
| Marketplaces that list it (differs) | 1 | 0 |
| Stars (GitHub) (differs) | 392 | 3 |
| Pulls (Docker Hub) (differs) | 23 520 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 72 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/e2b) | On your machine (@barnburner121/plugin-hub-mcp) |
| Transport (differs) | stdio | Not stated |
| Tools it declares (differs) | 1 | Not published |
| Environment variables it asks for (differs) | 1, secrets among them: 1 | Not published |
| Parts of the bundle (differs) | Not a bundle | 2 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | github.com/e2b-dev/mcp-server | github.com/barnburner121/claude-plugin-marketplace |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-11 | 2026-10-14 |
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 sklearn-pipeline
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Skills to support Machine Learning experimentation using the Python ecosystem.
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Agent skills for CMF — instrument ML pipelines, track artifacts, sync metadata, and query lineage
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ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
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ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
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Pandas MCP - Advanced Data Analysis for LLMs with comprehensive pandas operations
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Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and…
What each says it does
E2B
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
sklearn-pipeline
Generate scikit-learn ML pipelines with preprocessing
How to run each
E2B As a local MCP server: Docker image
claude mcp add --env "E2B_API_KEY=<YOUR_E2B_API_KEY>" --transport stdio e2b -- docker run -i --rm -e E2B_API_KEY mcp/e2bRequires: E2B_API_KEY (secret)
sklearn-pipeline
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of sklearn-pipeline publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of sklearn-pipeline publish no settings it asks for, so we do not compare settings.
What it can do: E2B · What it can do: sklearn-pipeline · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.