Enzyme Automatic Differentiator

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Overview

HEALTH SCORE

Excellent*

Partial score (2/3 categories)

62out of 65

Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.

LIFECYCLE

Active

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

Display your project Health score on your GitHub page.

Health breakdown

Excellent*(62/65)

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 93 organizations.

Project Achievements

Leaderboards

About

Enzyme is an automatic differentiation tool that performs reverse-mode AD by using LLVM compiler infrastructure to differentiate programs in languages like Julia, C/C++, and Fortran. It enables efficient gradient computation for machine learning and scientific computing applications.

First commit

June 2001

Software value

$1.9M