danaleo 3.0.2

Explore, clean, transform, and visualize tabular data in your browser

Danaleo

Danaleo is a local, browser-based workspace for exploring, cleaning, transforming, and visualizing tabular data.

Your data stays on your machine. Install Danaleo with pip, launch it, and work from the browser without writing setup code.

Install

Danaleo requires Python 3.10 or newer.

python -m pip install danaleo

Launch

danaleo

Danaleo opens automatically at:

http://127.0.0.1:8765

You can also launch it with:

python -m danaleo

What You Can Do

• Upload CSV, JSON, Excel, OpenDocument, Parquet, Feather, ORC, Stata, SAS, HDF, and compressed tabular files
• Explore column statistics, missing values, duplicates, correlations, and data previews
• Filter rows, replace values, impute missing data, and drop columns or duplicates
• Apply one-hot encoding, ordinal encoding, min-max scaling, and standardization
• Create branching analysis sessions without losing earlier work
• Merge dataset snapshots with common join types
• Build and save numeric, categorical, grouped, and relationship plots
• Save and restore complete Danaleo workspaces
• Export the analysis workflow as a readable Jupyter notebook

Common Options

Run without opening a browser:

danaleo --no-browser

Use another port:

danaleo --port 8766

Allow access from another device on your network:

danaleo --host 0.0.0.0 --port 8765

View every available option:

danaleo --help

Update

python -m pip install --upgrade danaleo

Uninstall

python -m pip uninstall danaleo

Install From Source

git clone https://github.com/RP28/Danaleo-3.0.git
cd Danaleo-3.0
python -m pip install -e .
danaleo

Development

Install development dependencies and run the tests:

python -m pip install -e ".[dev]"
python -m pytest

Build the wheel and source distribution:

./scripts/build_package.sh

The release artifacts are written to dist/.

License

Danaleo is available under the MIT License.