GraphCanon updated Sep 29, 2026 · GitHub synced Sep 29, 2026
95views this month
Decision brief
pai is an open-source solution focused on resource scheduling and cluster management that supports deep learning frameworks including TensorFlow, PyTorch, and Chainer.
Good fit when
- When you are working with JavaScript-based projects and need to integrate model training or serving operations within your tech stack seamlessly
- If your AI project requires extensive GPU computing capabilities and efficient GPU scheduling across clusters
Avoid when
- For organizations that prefer a more comprehensive suite tailored for specific languages other than JavaScript, as the tool's focus is clearly on this language environment
- When looking for solutions strictly hosted in cloud environments, as pai also supports deployment in on-premise settings which could complicate decisions if cloud dependency is critical
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Adoption
Package downloads where a registry match exists. GitHub stars (2,694) are secondary evidence.
- npm downloads (30d)
- 33·npm downloads API·Sep 29, 2026
Maintenance and security
Full trust report- Maintenance
- Active (11d since push)
- As of Sep 29, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 29, 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 Microsoft. Display-only - separate from trust and ranking.
- Company
- Microsoft·GitHub org profile·Jul 11, 2026
- Employees
- 221,000·Wikidata (P1128 employees)·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
Install
npm install paiSimilar 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
Provides tools and infrastructure for managing resources, clusters, and training models in AI projects, integrating well with various deep learning frameworks like TensorFlow, PyTorch, and Chainer.
Capability facts
- Languages
- javascript
Source: github.language · Sep 29, 2026
Categories
Graph entities
Tags
README
Contributor License Agreement This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, vi...
For agents
This page has a .md twin and JSON over the API.