AI & LLMs
iFixAi · Comparison Card
CLI tool in AI & LLMs: Python, Apache-2.0, GitHub stars 43k
About this listing
- Role: CLI tool for developers and operators who live in the terminal
- Stack: Python; difficulty low
- License: Apache-2.0 (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: pushed within 3 days
Problem: collects repetitive terminal work into reusable subcommands to cut manual mistakes, focused on AI 能力 and CLI. Audience: developers and operators who live in the terminal. Stack & setup: Python, install globally via a package manager or download a binary, then verify PATH, difficulty low. Difference: it currently appears in only one source (GitHub), so cross-checking is advisable. 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
| License | Apache-2.0 |
|---|---|
| Primary language | Python |
| Platform / topics | GitHub · agent-evaluation · ai · ai-alignment |
| GitHub stars | 43.3k |
| Last push | 2026-11-02 |
| Source | https://github.com/ifixai-ai/iFixAi |
| Homepage | https://www.ifixai.ai |
| Docs | https://github.com/ifixai-ai/iFixAi#readme |
| Demo | https://www.ifixai.ai |
| Verified at | 2026-11-04 |
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:
- 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
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Primary language | Python |
|---|---|
| Platform / topics | agent-evaluation · ai · ai-alignment |
| License | Apache-2.0 |
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 Apache-2.0;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 Python;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 | ¥2.9 | Apache-2.0 | 2026-07-29 |
| machine-learning-for-trading · 项目档案 | ¥2.9 | MIT | 2026-11-03 |
| FinGPT · 上手避坑卡 | ¥2.9 | MIT | 2026-10-25 |