Skip to main content

Visual dataset explorer

Project description


Currently under initial development, do not use.

This Python 3 library is a visual dataset explorer that can be used to analyse the main properties of a dataset. It is named after Juan Sebastián Elcano, the explorer who completed the first circumnavigation of the Earth.

Some of the main features of this library are:

  • Wide format support: The formats ARFF, BSI, CSV, DAT, DATA, JSON, LIBSVM, M, NAMES, XRFF and their gzipped versions can be used.
  • Comprehensive analysis features: many analysis tools are available to study the dataset, giving access to well-known toolboxes such as scikit-learn, keras and pandas.
  • Pipeline storage and sharing: the pipelines created can be saved locally and uploaded to the pipeline cloud.
  • Simple-yet-powerful interface: when a dataset is loaded, a web platform is deployed locally to analyse the datasets visually. Every pipeline can be exported as a script to avoid losing the grip on the process.

Install and usage

Installing and using this library is as simple as:

$ pip install elcano
Successfully installed elcano-0.1
$ elcano dataset.csv

A complete reference will be added as the development of this library advances.



Released on May 24, 2020.

  • Initial package upload.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

elcano-0.1.0.tar.gz (2.1 kB view hashes)

Uploaded source

Built Distribution

elcano-0.1.0-py3-none-any.whl (3.2 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page