scikit-learn
Established LeaderMachine Learning in Python
scikit-learn.org DiscordAI Models & Agents / Model Training & Inference Infrastructure
- Monthly visits
- 884.7K
- Up15.7%MoMSep 2026
- Public revenue
- Undisclosed
- No public revenue evidence yet
- Entry price
- Free
- No monthly subscription pricing
- Launched
- 8y ago
- 2017-12-10 · Est.
Traffic
Marketing moves
Launches, search & content, referrals, promotions- 我一般开16线程,一千万token一个小时也能跑完 引用帖 @tangjinzhou: 太搞笑了
@wizardforcel · 2026-09-16 · 0 likes · 0 reposts · 44 views
- 科研不就是这样吗,你以为呢? 引用帖 @zesenhuang: 后验地看,OpenAI可能创造了一种全新的创造知识的方式——贝叶斯穷举法,即用无限的陶哲轩级别的智慧,并行10000个,工作100年,去探索某一个有一定先验的参数空间。这是真正的工业化生产的智慧啊!
@wizardforcel · 2026-09-14 · 0 likes · 0 reposts · 39 views
- 它是test的别名 引用帖 @__soragoto__: 面试官:既然来面运维岗了,什么 k8s 啥的八股先放一放,让我看看你基础,你 Bash 熟吗? 我:天天用,应该还算熟? 面试官:从最基础的问起吧,讲一下 [] 的语法吧。 我:咦,为什么给这个叫语法? 面试官:不然叫啥? 我:非要说语法好像也没问题,不过 [ 是个命令, ] 是这个命令要求的最后一个参数。 面试官:?????
@wizardforcel · 2026-09-14 · 0 likes · 0 reposts · 53 views
scikit-learn launched on V2EX (3 thanks · 3 comments)Launch
Scikit-Learn (Sklearn) 中文文档 0.19 scikit-learn 是基于 Python 语言的机器学习工具。 简单高效的数据挖掘和数据分析工具 可供大家在各种环境中重复使用 建立在 NumPy,SciPy 和 matplotlib 上 开源,可商业使…
Dec 10, 2017 · 8y agoSource
Third-party reviews & case dossiers
Acquisition breakdowns, engineer reviews & open-source metricsOpen Source & Self-Hosting
- GitHub Stars
- Public repo
- Forks
- —
- License
- See repository
- Primary language
- —
Traffic sources
Traffic breakdown
Channels
- Organic Search56%
- Direct28%
- Referrals10%
- Other6%
Countries
- United States25%
- India13%
- France5%
- United Kingdom4%
- Germany4%
Search
Domain authority 86Domain registered 2011-10-19
| Keyword | Monthly volume |
|---|---|
| scikit learn | 42K |
| sklearn | 23.6K |
| scikit-learn | 21.6K |
| sklearn logistic regression | 4,720 |
| train_test_split | 3,830 |
Traffic data: Vaneform
Pricing
Pricing page not identified yet, or no public pricing listed.
Pages & changes
Key pages
Weekly snapshotsChanges
Design
Enterprise Clean (Light canvas, dense density) featuring split copy & visual layout and illustration / character art visuals.
First-screen preview · click to zoom
First-screen pitch & conversion flow
“scikit-learn”
Split Copy & Visual hero structure paired with download app / install extension CTA and live generated output showcase.
Conversion path: Split Copy & Visual + Illustration / Character Art → Download App / Install Extension · Trust bar: Live Generated Output Showcase
- Brand Manifesto & Curiosity
- Custom Illustration
Palette · click to copy
- Typography
- 6.0
- Color & Contrast
- 6.0
- Layout & Spacing
- 7.0
- Craft & Polish
- 6.0
- Distinctiveness
- 5.0
Structure
- Fonts
- Courier New / Lato
- Hero layout
- Split Copy & Visual
- Primary visual
- Illustration / Character Art
- Conversion CTA
- Download App / Install Extension
- Social proof
- Live Generated Output Showcase
- Navigation
- Full-Width Top Bar
- Theme & density
- Light · Dense
- Corners & depth
- Small Radius · With shadow
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: Enterprise Clean
Trustworthy blue-anchored palette, structured grids, and prominent customer logo walls.
## Design Tokens
```css
:root {
--background: #ffffff;
--surface: #f8f9fa;
--foreground: #25292d;
--muted-foreground: #59616a;
--accent: #2083a5;
--radius: 4px;
--font-heading: "Courier New", ui-sans-serif, system-ui, sans-serif;
--font-body: "Lato", ui-sans-serif, system-ui, sans-serif;
--font-mono: "Courier New", ui-sans-serif, system-ui, sans-serif;
}
```
Color area ratio: Background #FFFFFF (~55%) · Surface #F8F9FA (~15%) · Text #25292D (~6%) · Muted Text #59616A (~4%) · Accent #2083A5 (~20%). Background and surface dominate the canvas; reserve the accent color for primary buttons and active states.
## Layout & Conversion Structure
- Hero layout: Split Copy & Visual
- Navigation: Full-Width Top Bar
- Theme & density: Light · Dense
- Border radius & elevation: Small Radius; use elevation shadows to separate layers
- Primary visual medium: Illustration / Character Art
- Conversion CTA: Download App / Install Extension · Trust bar uses Live Generated Output Showcase
- Headline hook: Brand Manifesto & Curiosity
- Hero components: Custom Illustration
- Spatial layout notes: Split Copy & Visual hero structure paired with download app / install extension CTA and live generated output showcase.
- Visual summary: Enterprise Clean (Light canvas, dense density) featuring split copy & visual layout and illustration / character art visuals.
## Avoid
- Experimental navigation patterns
- Low-legibility decorative fonts
- Visual novelty that obscures the value proposition
Implement the UI following the design tokens and layout specifications above: use only these color variables, and reserve the accent color strictly for primary actions and active states. Adopt only this visual style—never copy any reference product’s brand name, logo, copy, or imagery.
Questions & evidence
- How much website traffic does scikit-learn get?
- Vaneform estimates 884.7K website visits in 2026-09. Visits can include repeat visits; this estimate does not measure paying customers or revenue.Source
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