Datasette
Uses AIFind stories in data
datasette.io Source★ 11.6KApache-2.0 DiscordData & Analytics / Spreadsheets & Data Analysis AI
- Monthly visits
- 62.9K
- Down6.6%MoMSep 2026
- Public revenue
- Undisclosed
- No public revenue evidence yet
- Entry price
- Free
- No monthly subscription pricing
- Launched
- 5y ago
- 2021-05-10 · Est.
Traffic
Marketing moves
Launches, search & content, referrals, promotionsLaunched on Show HN (35 pts · 14 comments)Launch
Light like the Terminal – Meet GTK LLM Chat Front End — Author here. I wanted to keep my conversation with #Gemini about code handy while discussing something creative with #ChatGPT and using #D…
Apr 21, 2025 · 19mo agoLaunch page
Launched on Show HN (8 pts)Launch
Simple CLI to aggregate repos, papers and docs for LLM ingestion — I created a tool that consolidates information from the following inputs: GitHub repository URL (e.g., ) arXiv abstract URL (e.g., ) Local…
Feb 13, 2024 · 2y agoLaunch page
Launched on 阮一峰周刊投稿 (1 comments)Launch
【开源推荐】Datasette - 开源的数据探索和发布工具 — 特性: - 基于 SQLite,可以借助相关开源库(sqlite-utils)从各种数据源导入数据 - 可以在界面上直接完成筛选、搜索、Join 等基础操作,也支持自定义查询(支持完整的 SQL 语法),并以各种形式导出查询结果(JSON/CSV/HTML表格等) - 有完善的工具和插件体系,可以以地图、图表等形式展示数据、构建仪表盘,甚至是通过自定义界面构建网站(官网就是用 Datasette 自己搭建的) - 一键发布到各种云运行平台(通过构建 Docker 镜像并内嵌 SQLite DB 文件实现,无需配置数据库服务) Launch
Datasette Desktop, macOS App for SQLite and CSVs
Sep 14, 2021 · 5y agoLaunch page
Launched on Show HN (204 pts · 27 comments)Launch
Django SQL Dashboard
May 10, 2021 · 5y agoLaunch page
Third-party reviews & case dossiers
Acquisition breakdowns, engineer reviews & open-source metricsMulti-tool for exploring and publishing data
- Post excerpt:
- I created a tool that consolidates information from the following inputs: GitHub repository URL (e.g., https://github.com/jimmc414/onefilellm ) arXiv abstract URL (e.g., https://arxiv.org/abs/2401.14295 ) Local folder path (e.g., C:\python\PipMyRide) Youtube video URL (e.g., https://www.youtube.com/watch?v=KZ_NlnmPQYk ) Webpage URL (e.g., https://llm.dataset
- Post excerpt:
- Author here. I wanted to keep my conversation with #Gemini about code handy while discussing something creative with #ChatGPT and using #DeepSeek in another window. I think it's a waste to have Electron apps and so wanted to chat with LLMs on my own terms. When I discovered the llm CLI tool I really wanted to have convenient and pretty looking access to my c
Open Source & Self-Hosting
- GitHub Stars
- ★ 11.6K
- Forks
- 961
- License
- Apache-2.0
- Primary language
- Python
Traffic sources
Traffic breakdown
Channels
- Direct31%
- Referrals29%
- Organic Search25%
- Social10%
- Other4%
Countries
- United States18%
- India6%
- Germany6%
- France5%
- Russia4%
Search
Domain authority —Domain registered 2018-04-19
| Keyword | Monthly volume |
|---|---|
| datasette | 1,410 |
| gpt models api | 290 |
| llm model_name | 250 |
| llm plugins repository | 170 |
| llm en python | 130 |
Traffic data: Vaneform
Pricing
Public pricing: Open Source (Apache-2.0)Raw source text; structured plans are extracted after website capture.
Pages & changes
Key pages
Weekly snapshots- Homedatasette.io/
- Featuresdatasette.io/for Snapshot 2026-11-03
Changes
No pricing, plan, or positioning changes detected since tracking started.
Design
Minimal Monochrome (Light canvas, balanced density) featuring split copy & visual layout and product ui screenshot / component visuals.
First-screen preview · click to zoom
First-screen pitch & conversion flow
“Find stories in data”
Split Copy & Visual hero structure paired with start free / sign up CTA and no explicit trust bar.
Conversion path: Split Copy & Visual + Product UI Screenshot / Component → Start Free / Sign Up
- Brand Manifesto & Curiosity
- Video Demo
- Large Hero Product Shot
Palette · click to copy
- Typography
- 7.0
- Color & Contrast
- 6.0
- Layout & Spacing
- 7.0
- Craft & Polish
- 6.0
- Distinctiveness
- 5.0
Structure
- Fonts
- Inter
- Hero layout
- Split Copy & Visual
- Primary visual
- Product UI Screenshot / Component
- Conversion CTA
- Start Free / Sign Up
- Social proof
- No Explicit Trust Bar
- Navigation
- Full-Width Top Bar
- Theme & density
- Light · Balanced
- Corners & depth
- Small Radius · Hairline borders
Preview full AI design brief (includes :root CSS variables & layout rules)Style tokens only; never copy brand names, logos, copy, or images
# Design Brief: Minimal Monochrome (with Enterprise Clean)
Monochrome palette with a single accent color, hairline dividers, and generous whitespace.
## Design Tokens
```css
:root {
--background: #ffffff;
--surface: #f7f7f8;
--foreground: #1a1a1a;
--muted-foreground: #6b7280;
--accent: #3d4db7;
--radius: 4px;
--font-heading: "Inter", ui-sans-serif, system-ui, sans-serif;
--font-body: "Inter", ui-sans-serif, system-ui, sans-serif;
}
```
Color area ratio: Background #FFFFFF (~62%) · Surface #F7F7F8 (~12%) · Text #1A1A1A (~12%) · Muted Text #6B7280 (~8%) · Accent #3D4DB7 (~6%). 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 · Balanced
- Border radius & elevation: Small Radius; no drop shadows—separate layers with hairline borders and whitespace
- Primary visual medium: Product UI Screenshot / Component
- Conversion CTA: Start Free / Sign Up
- Headline hook: Brand Manifesto & Curiosity
- Hero components: Video Demo, Large Hero Product Shot
- Spatial layout notes: Split Copy & Visual hero structure paired with start free / sign up CTA and no explicit trust bar.
- Visual summary: Minimal Monochrome (Light canvas, balanced density) featuring split copy & visual layout and product ui screenshot / component visuals.
## Avoid
- Multi-stop neon gradients
- Heavy drop shadows
- More than one competing accent color
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 Datasette get?
- Vaneform estimates 62.9K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
- What is Datasette and what platforms does it support?
- Datasette is catalogued under Spreadsheets & Data Analysis AI: Find stories in data. Supported platforms: API.
- Is Datasette open source?
- Datasette has a public repository (https://github.com/simonw/datasette) under the Apache-2.0 license, recording 11.6K GitHub stars, and supporting self-hosted deployment.Source
Related products in this category
These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.