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manifold

uber/manifold

A model-agnostic visual debugging tool for machine learning

GitHub

GraphCanon updated 3w · GitHub synced 3w

1.7k stars116 forksLast push 1y JavaScript Apache-2.0

Decision brief

Manifold, developed by Uber, offers ML developers JavaScript-based visualization capabilities to debug and comprehend their models' data processing without the need for model-specific knowledge.

Good fit when

- When you seek a JavaScript-based tool for visual debugging of machine learning models, irrespective of the model type or framework used
- If your project requires deep understanding and debugging insights into how various types of ML models process their input and output data

Avoid when

- Avoid using Manifold if you are not comfortable working with JavaScript, as it is a primary requirement to integrate this tool into your project environment
- If your development setup strictly avoids npm dependencies or requires isolation from external libraries, Manifold may introduce unnecessary complexity given its specific installation requirements

Pricing:: freemium - Free to use and modify under the Apache-2.0 license terms, Manifold's codebase can be downloaded from its repository without any cost.

Observed Jul 16, 2026 · Source: enrich:decision_facts

manifold alternatives Trust report

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (1,673) are secondary evidence.

npm downloads (30d): 215·npm downloads API·3w

Maintenance and security

Full trust report

Maintenance: Dormant (543d since push); As of 3w
Provenance: Not a fork · Organization account; As of 3w
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install manifold

npm

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Uber's Manifold is a JavaScript-based visualization library that allows developers to debug and understand how their machine learning models process data.

Capability facts

MCP server: No MCP server detected
Source: repo_scan · Aug 3, 2026
Languages: javascript
Source: github.language+package.json · Aug 3, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Aug 3, 2026)

$ npm install @mlvis/manifold styled-components styletron-engine-atomic styletron-react

Source link

README

install all dependencies in the root directory

yarn

install dependencies for the demo app