Natural AI Data Explorer — analyze datasets in plain language, locally and privately
Project description
Datialog — Natural AI Data Explorer
Analyze datasets in plain language using AI. No code required. Your data never leaves your machine.
Installation
pip install datialog
Usage
# Launch (opens browser + system tray icon)
datialog
# Custom port
datialog --port 9090
# Terminal mode (no system tray)
datialog --no-tray
Or from Python:
import datialog
datialog.launch()
Features
- Natural language — ask questions in Spanish or English
- 100% local — data never leaves your machine with Ollama
- Multi-backend — Ollama, Groq, OpenAI, Anthropic, LM Studio
- Multiple formats — CSV, Excel, Stata, SAS, Parquet, JSON
- Auto EDA — exploratory analysis with one click
- Python console — integrated code console
- Checkpoint & Undo — revert transformations
- System tray — background mode with tray icon
Supported formats
| Format | Extension |
|---|---|
| CSV | .csv |
| Excel | .xlsx, .xls |
| Stata | .dta |
| SAS | .sas7bdat |
| Parquet | .parquet |
| JSON | .json |
Requirements
- Python 3.10+
- For local models: Ollama
- For cloud models: API key from Groq, OpenAI or Anthropic
Author
Ivan Pastor Sanz — datialog.app
Citation
@software{pastor_sanz_2026_datialog,
author = {Pastor Sanz, Iván},
title = {Datialog — Natural AI Data Explorer},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.20075103},
url = {https://doi.org/10.5281/zenodo.20075103}
}
License
CC BY-NC 4.0 — free for personal, academic and research use. Commercial use requires explicit permission from the author.
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