@hubspire/hubai

npm v0.2.85

17 weekly downloads · MIT · 34 Dependencies

Many dependencies (20+)

Source data as of:

Summary

AI-powered command-line interface (CLI) developed by HubSpire.

Install npm install @hubspire/hubai

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 17 Source: npm Registry
Releases 96 Last release: 2025-11-13 Source: npm Registry
Dependencies 34 Source: npm Registry

Description

AI-powered command-line interface (CLI) developed by HubSpire.

Registry-supplied description, cleaned to plain text. Source: npm Registry.

Package details

Package
@hubspire/hubai
Registry
npm
Version
0.2.85
Weekly downloads
17 (weekly)
License
MIT
Dependencies
34: @anthropic-ai/sdk, @babel/generator, @babel/parser, @babel/traverse, @babel/types, @google/generative-ai, @graphql-tools/graphql-file-loader, @graphql-tools/load, @langchain/core, @modelcontextprotocol/sdk, chalk, cli-table3, commander, cors, diff, express, glob, graphql, handlebars, inquirer, js-yaml, langchain, lodash, minimatch, mongodb, mongoose, nanospinner, openai, pluralize, prettier
Releases
96
Last release
2025-11-13
First published
2024-08-08
Keywords
hubai, hubai-cli

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 20.7 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 9.1 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 58.7 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources

Related packages

Other packages sharing a factual facet, for cross-reference. A descriptive neighbourhood — ordering does not imply a recommendation.

Same ecosystem

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Same license

charset-normalizer PyPI 300,755,647 six PyPI 219,803,471 PyYAML PyPI 208,226,720 pluggy PyPI 172,561,680
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