Text data browser for visualization and analysis
Project description
A lightweight app that makes browsing and analyzing text data a breeze.
Key Features
🔍 Intuitive Navigation: Effortlessly browse local (or remote) data in HuggingFace, JSONL, etc., formats.
⚡ Efficient Browsing: Stream large local (or remote) datasets without loading (or downloading) in memory.
🚀 Powerful Analysis: Easily filter and sort data for better insights.
💻 Pretty-Print Code: Human-friendly visualization of code embedded in your data.
Experience seamless data browsing and analysis with Datahawk 🦅!
Alternatives include: Lilac, HuggingFace Dataset Viewer.
Instructions
Install
Installation requires python>=3.8.
pip install datahawk
Run
Launch the app from anywhere as:
datahawk
This will start the application at localhost:5009.
Specify a custom port number as:
datahawk -p PORT
This will start the application at localhost:PORT.
Usage
Usage is quite intuitive! You can find on-screen instructions by hovering over the information icons ℹ️.
License
Datahawk has an MIT license, as found in the LICENSE file.
Acknowledgements
- Hawk icon made by IconBaandar from Flaticon.
Project details
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