Is the scomp_link MCP server actively maintained?

The scomp_link MCP server was last committed 1mo ago and has 6 contributors. Issue health: 60% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

scomp_link MCP Server

Name: GiacomoSaccaggi/scomp_link
Rating: 3.7 (1 reviews)
Author: GiacomoSaccaggi

GiacomoSaccaggi/scomp_link

Score: 67.9 Rank #4508 Agent Framework

[![AgentRank](https://agentrank-ai.com/api/v1/badge/GiacomoSaccaggi--scomp_link)](https://agentrank-ai.com/tool/GiacomoSaccaggi--scomp_link/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of GiacomoSaccaggi/scomp_link? Claim this listing →

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

Add AgentRank to Claude Code Discover and compare tools like GiacomoSaccaggi/scomp_link — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

GiacomoSaccaggi/scomp_link is a Python tool licensed under MIT. End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

Ranked #4508 out of 24846 indexed tools.

Ecosystem

Python MIT 61 pypi/wk

Score Breakdown

Stars 15% 14

14 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 60%

9/15 issues closed → decent issue management

Contributors 10% 6

6 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 61/wk

61 weekly installs → early adoption

Forks 1

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 40 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/GiacomoSaccaggi--scomp_link)](https://agentrank-ai.com/tool/GiacomoSaccaggi--scomp_link/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/GiacomoSaccaggi--scomp_link/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/GiacomoSaccaggi--scomp_link" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="GiacomoSaccaggi/scomp_link"></script>

Details

Stars: 14
Forks: 1
Open Issues: 6
Closed Issues: 9
Contributors: 6
Dependents: —
Language: Python
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcptopic:mcp-server

See alternatives to GiacomoSaccaggi/scomp_link → Browse agent-framework category → Best Agent Framework MCP servers → Compare GiacomoSaccaggi/scomp_link → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →