Summary

DataKit is a browser-based platform for local, private analysis of multi-gigabyte files. It targets technical users needing robust data processing without server dependencies, offering SQL, AI assistance, and Python notebooks directly in the browser.

How It Works

Leveraging WebAssembly (WASM), DataKit embeds processing engines like DuckDB client-side for efficient, local handling of large files (CSV, XLSX, JSON, Parquet) and remote sources (S3, Google Sheets, PostgreSQL). This architecture ensures complete data privacy, eliminates server infrastructure needs, and provides a unified interface for SQL, AI insights, and Python data science.

Quick Start & Requirements

• Access: Runs in modern web browsers (Chrome 90+, Firefox 88+, Safari 14+, Edge 90+). No installation required.
• System: Desktop/laptop with >= 4GB RAM (8GB+ recommended).
• Links: Website: https://datakit.studio, Docs: https://docs.datakit.studio, GitHub: https://github.com/datakitpage/datakit, Discord: https://discord.com/invite/gZmXmhbBdP.

Highlighted Details

• Local processing of multi-gigabyte files (CSV, XLSX, JSON, Parquet) and remote sources (S3, Google Sheets, PostgreSQL, MotherDuck).
• Full-featured DuckDB SQL engine with professional query editor and schema browser.
• AI Assistant for natural language queries, SQL generation, and data insights (supports OpenAI, Claude, Ollama, etc.).
• Interactive Python notebooks with pre-loaded libraries (pandas, numpy, matplotlib) and Hugging Face Transformers.
• Data quality analysis: missing values, type distributions, outlier detection.

Maintenance & Community

• Community: Discord: https://discord.com/invite/gZmXmhbBdP.
• Development: GitHub Issues: https://github.com/datakitpage/datakit.
• Company: LinkedIn: https://www.linkedin.com/company/datakitpage.

Licensing & Compatibility

• Dual-licensed: AGPL-3.0 (open-source, non-commercial) and Commercial License (enterprise, closed-source integration).
• AGPL-3.0's copyleft requires careful review for commercial use.

Limitations & Caveats

• Mobile browser support is pending.
• AGPL-3.0 license may restrict integration into proprietary software without a commercial license.
• Performance for extremely large datasets depends on client hardware and browser capabilities.