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.
Metadata
Release files for datialog 1.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| datialog-1.3.4-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details for datialog-1.3.4-cp313-cp313-win_amd64.whl |
| datialog-1.3.4-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details for datialog-1.3.4-cp312-cp312-win_amd64.whl |
| datialog-1.3.4-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details for datialog-1.3.4-cp311-cp311-win_amd64.whl |
| datialog-1.3.4-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details for datialog-1.3.4-cp310-cp310-win_amd64.whl |
Total release size: 1.8 MB
Release files / datialog-1.3.4-cp313-cp313-win_amd64.whl
| Download URL | datialog-1.3.4-cp313-cp313-win_amd64.whl |
|---|---|
| Size | 429.2 kB |
| Tags | CPython 3.13 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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|
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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Transparency logRelease files / datialog-1.3.4-cp312-cp312-win_amd64.whl
| Download URL | datialog-1.3.4-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 426.6 kB |
| Tags | CPython 3.12 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / datialog-1.3.4-cp311-cp311-win_amd64.whl
| Download URL | datialog-1.3.4-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 464.1 kB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / datialog-1.3.4-cp310-cp310-win_amd64.whl
| Download URL | datialog-1.3.4-cp310-cp310-win_amd64.whl |
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| Size | 458.9 kB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.12
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Transparency logSecurity for datialog 1.3.4
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