FastMCP

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Overview

HEALTH SCORE

Excellent

100out of 100

Consistent maintainer coverage, security posture, and development cadence across the board. No single category stands out as a gap.

LIFECYCLE

Active

Consistent commits, responsive maintainers, regular releases, and healthy issue triage.

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Health breakdown

Excellent(100/100)

Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.

Maintainer responsiveness

Median response time is 0 days.

Bus factor

15 active maintainers currently have merge rights.

Organization Diversity

Contributors span 1044 organizations.

Project Achievements

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About

FastMCP is a Python library that implements the Monte Carlo Permutation test for statistical analysis, providing a fast and efficient way to perform permutation testing

First commit

November 2024

Software value

$7.6M