GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Good fit when
- Use auto-evaluator when you are working with TypeScript and need an integrated solution for evaluating AI models
- It is suitable if your development workflow already involves Vercel for front-end deployment and Railway for back-end services
Avoid when
- Avoid using auto-evaluator if you require a multi-language support environment, as it focuses solely on TypeScript
- Do not use this tool if your project's hosting requirements do not align with using Vercel or Railway
Observed Jul 15, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Archived (438d since push)
- As of Sep 8, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 8, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for LangChain. Display-only - separate from trust and ranking.
- Company
- LangChain·GitHub org profile·Jul 11, 2026
- Funding
- $25,000,000 (2024-02)·GraphCanon curated seed (public press)·Jul 11, 2026
- Commercial model
- Open core·GraphCanon curated seed·Jul 11, 2026
Install
npm install auto-evaluatorSimilar 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
A repository dedicated to auto-evaluation of AI models, using TypeScript. Front-end is on Vercel and back-end on Railway.
Capability facts
- Languages
- typescript
Source: github.language · Sep 8, 2026
Categories
Graph entities
Tags
README
Deployment The front end is deployed to Vercel. The back end is deployed to Railway.
For agents
This page has a .md twin and JSON over the API.