AI & LLMs
scikit-learn · Selection Notes
analytics / visualization in AI & LLMs: Python, BSD-3-Clause, GitHub stars 68k
About this listing
- Role: analytics / visualization for analysts, operators and product managers who report numbers
- Stack: Python; difficulty medium
- License: BSD-3-Clause (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: pushed within 0 days
Problem: turns raw data into readable charts and metrics, focused on Python. Audience: analysts, operators and product managers who report numbers. Stack & setup: Python, connect data sources and define metric semantics; mind privacy and retention, difficulty medium. 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 | BSD-3-Clause |
|---|---|
| Primary language | Python |
| Platform / topics | GitHub · data-analysis · data-science · machine-learning |
| GitHub stars | 68.0k |
| Last push | 2026-11-03 |
| Source | https://github.com/scikit-learn/scikit-learn |
| Homepage | https://scikit-learn.org |
| Docs | https://github.com/scikit-learn/scikit-learn#readme |
| Demo | https://scikit-learn.org |
| 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 | data-analysis · data-science · machine-learning |
| License | BSD-3-Clause |
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 BSD-3-Clause；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：2026-11-03，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 |