ecommercetools

EcommerceTools offers Python data science utilities for e-commerce, marketing science, and technical SEO analysis and modeling.

github.com/practical-data-science/ecommercetools
ecommercetools homepage screenshot

About ecommercetools

EcommerceTools is a Python toolkit for ecommerce, marketing science, and technical SEO analysis and modelling. It is designed to be used with Pandas in Jupyter notebooks or standalone Python projects.

It includes modules for Transactions, Products, Customers, Advertising, Operations, Marketing, NLP, SEO, and Reports. Its utilities can load a sample Online Retail transaction dataset, reformat transaction files with custom column mappings, and aggregate item rows into transaction-level data.

Key features

  • Reformat transaction item files using custom column mappings
  • Load sample Online Retail dataset with load_sample_data()
  • Aggregate item rows into transaction-level Pandas dataframe
  • Works with Pandas in Jupyter notebooks and standalone projects
  • Provides modules for products, customers, advertising and operations
  • Provides modules for marketing, NLP, SEO and reports
Best for: People working in technical ecommerce, marketing science, and technical SEO who use Python and Pandas for analysis.
Good for
  • Open-source Python package installable via PyPI
  • Designed to work with Pandas in Jupyter notebooks or standalone projects
  • Includes sample real-world data for getting started with transactions analysis

ecommercetools at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

ecommercetools alternatives

Tools and sites you could use instead, ranked by how closely they match.

All 24 alternatives

Popular in SEO & Web Analytics

Well-known listings from the same topic.

All 211

ecommercetools FAQ

How do I install EcommerceTools?
Enter pip3 install ecommercetools in a terminal, or !pip3 install ecommercetools in a Jupyter notebook cell.
How can I try it with sample data?
Use utilities.load_sample_data() to load transaction items from the Online Retail dataset, reformatted for use with EcommerceTools.
What environment does it work in?
It is written in Python, designed for use with Pandas, and works in Jupyter notebooks or standalone Python projects.
Is something wrong or out of date?

Tell us and an editor will check it.

Own this website?

Claim the listing and suggest updates yourself. An editor checks every claim first.

Claim this listing