GraphCanon updated Sep 27, 2026 · GitHub synced Sep 27, 2026
46views this month
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
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (1,673) are secondary evidence.
- npm downloads (30d)
- 191·npm downloads API·Sep 27, 2026
Maintenance and security
Full trust report- Maintenance
- Dormant (598d since push)
- As of Sep 27, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 27, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install manifoldSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
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 · Sep 27, 2026
- Languages
- javascript
Source: github.language+package.json · Sep 27, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 27, 2026)
$ npm install @mlvis/manifold styled-components styletron-engine-atomic styletron-reactSource link
Tags
README
install all dependencies in the root directory yarn install dependencies for the demo app yarn Install Manifold License Apache 2.0 License [feature csv image]: https://d1a3f4spazzrp4.cloudfront.net/manifold/docs/x.png [prediction csv image]: https://d1a3f4spazzrp4.cloudfront.net/...
For agents
This page has a .md twin and JSON over the API.