

DataKit
DataKit allows users to open multi-gigabtye locally stored files or connect to remotely hosted data sources to help them view, audit, query and visualise data with ease.
Cost / License
- Free
- Proprietary
Application type
Platforms
- Online
- Self-Hosted
- Docker
- Mac
- Homebrew
- Python
- Windows
- Linux
Features
Properties
- Privacy focused
- Lightweight
Features
- Dark Mode
- No Coding Required
- Import CSV Data
- Ad-free
Import from Google Sheets
- Data analytics
Import From Excel
Support for Amazon S3- Data visualization
Tags
- Data Analysis
- parquet
- JSON
- huggingface
- DuckDB
DataKit News & Activities
Recent activities
- DataKit added DataKit
- POX updated DataKit
- DataKit rated DataKit
- DataKit liked DataKit
DataKit added DataKit as alternative to Looker, Tableau, Microsoft Power BI and Looker Studio
DataKit information
What is DataKit?
DataKit allows users to open multi-gigabtye locally stored files or connect to remotely hosted data sources to help them view, audit, query and visualise data with ease.
It provides rapid data previews, insights through a data inspection tool, as well as a full SQL editor complimented by natural language support.
Users can generate custom charts to visualise their dataset and export as PNG, JPG, SVG or CSVs as well.
To supercharge a user’s ability to query their dataset, an AI data assistant powered by popular LLMs made by Anthropic, OpenAI and xAI is available.
Users can connect to many data sources like MotherDuck, HuggingFace, Excel, CSV, Parquet, JSON, Amazon S3 and many more.









