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AI & LLMs

Handy · Selection Notes

database / storage in AI & LLMs: Rust, MIT, GitHub stars 37k

¥2.9 一次性

About this listing

Problem: provides a storage layer or database tooling to cut selection and ops trial-and-error, focused on 无障碍. Audience: backend developers choosing storage or migrating data. Stack & setup: Rust, provision an instance and connection string, then test migration and rollback on a small dataset, difficulty medium. Difference: it ships under MIT (permissive), which makes the licensing position relatively clear. Risk: permissive terms still require preserving copyright and license notices, and trademark/patent clauses may apply.

A licensed delivery file is generated after payment and downloadable from the delivery page.

Public fact metadata

LicenseMIT
Primary languageRust
Platform / topicsGitHub · accessibility · cross-platform · speech-to-text
GitHub stars37.4k
Last push2026-11-02
Sourcehttps://github.com/cjpais/Handy
Homepagehttps://handy.computer
Docshttps://github.com/cjpais/Handy#readme
Demohttps://handy.computer
Verified at2026-11-04

Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.

What you get

1 份 Markdown 交付文件,共 9 个章节:

  1. 一句话定位
  2. 公开事实元数据(抓取时快照)
  3. 1. 解决什么问题
  4. 2. 适用人群
  5. 3. 技术栈与部署门槛
  6. 4. 与同类项目的差异
  7. 5. 已知短板与风险
  8. 上手路径建议
  9. 合规与使用边界

Compatibility

Primary languageRust
Platform / topicsaccessibility · cross-platform · speech-to-text
LicenseMIT

FAQ

买到的是什么形式?

一份 Markdown 交付文件,含 9 个章节(一句话定位 / 公开事实元数据(抓取时快照) / 1. 解决什么问题 / 2. 适用人群 等),付款后生成带授权码的下载文件。

许可证是否允许商用?

元数据记录为 MIT;具体商用范围以原仓库 LICENSE 原文为准,本店不额外授予权利。

项目还在维护吗?

最近一次上游提交:2026-11-02,数据抓取时间 2026-11-04。

需要什么运行环境?

主要语言 Rust;其余依赖以包内依赖清单为准。

Comparison

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coze-studio · 生态位观察¥2.9Apache-2.02026-07-29
machine-learning-for-trading · 项目档案¥2.9MIT2026-11-03
FinGPT · 上手避坑卡¥2.9MIT2026-10-25

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