Products

scikit-learn

Established Leader

Machine Learning in Python

scikit-learn.org DiscordAI Models & Agents / Model Training & Inference Infrastructure

AI Benchmark
Desktop
Mobile
Monthly visits
884.7K
Up15.7%MoMSep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
飞龙
@wizardforcel· 134 followers
Launched
8y ago
2017-12-10 · Est.

Traffic

Monthly visitsData through Sep 2026
Events3 changes

Marketing moves

Launches, search & content, referrals, promotions
  • 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 metrics
V2EX
2017-12-10Source

Open Source & Self-Hosting

GitHub · MCP / Skill
GitHub Stars
Public repo
Forks
—
License
See repository
Primary language
—

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Organic Search56%
  • Direct28%
  • Referrals10%
  • Other6%

Countries

  • United States25%
  • India13%
  • France5%
  • United Kingdom4%
  • Germany4%

Search

Domain authority 86Domain registered 2011-10-19

KeywordMonthly volume
scikit learn42K
sklearn23.6K
scikit-learn21.6K
sklearn logistic regression4,720
train_test_split3,830

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2026-07-31

Key pages

Weekly snapshots

Changes

  1. Nov 1 · 13d ago

    Removed technology: MathJaxFeatures

    MathJax→—

  2. Nov 1 · 13d ago

    Removed technology: jsDelivrFeatures

    jsDelivr→—

  3. Nov 1 · 13d ago

    Homepage title changed to “scikit-learn: machine learning in Python — scikit-learn 1.9.1 documentation”Positioning

    scikit-learn: machine learning in Python — scikit-learn 1.7.2 documentation→scikit-learn: machine learning in Python — scikit-learn 1.9.1 documentation

Design

First-screen visual analysis & :root CSS

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

Palette · click to copy

5-D design score6.1 / 10
Typography
6.0
Color & Contrast
6.0
Layout & Spacing
7.0
Craft & Polish
6.0
Distinctiveness
5.0

Structure

Fonts
Courier New / Lato
Primary visual
Illustration / Character Art
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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