datazets

library1.1.3pypypi✓ verified 87d ago

Datazets is a Python package designed to easily import a collection of well-known example data sets, often used for machine learning, data analysis, and educational purposes. It provides a simple API to access these datasets without needing to manually download or preprocess them. The current version is 1.1.3, released on June 21, 2025, and it appears to have an active release cadence.

data ai-ml

pip install datazets

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · DATAZETS

datazets

datapythonv1.1.3

Install

8.1s avg

Import

1428ms

Disk

168MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.1.3 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.920 runs

installs and imports cleanly · install 0.0s · import 1.467s · 168.3MB

glibc

py 3.10–3.920 runs

installs and imports cleanly · install 8.1s · import 1.389s · 161MB

168MB installed

● package 168MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

datazets

✓ import datazets as dz

This quickstart demonstrates how to import the `datazets` library and load the 'titanic' dataset into a pandas DataFrame using the `get()` function.

import datazets as dz # Load a well-known dataset, e.g., 'titanic' df = dz.get('titanic') print(f"Dataset 'titanic' loaded with shape: {df.shape}") print(df.head())

Debug

Known issues

gotchaDatazets provides raw example datasets, which may contain missing values, inconsistent formats, or require additional preprocessing steps (e.g., handling categorical variables, scaling numerical features) before being suitable for machine learning models or advanced analysis. Users should not assume the data is 'production-ready' out-of-the-box.

fix

Always inspect the loaded dataset for quality issues using methods like `df.info()`, `df.isnull().sum()`, `df.describe()`, and apply appropriate data cleaning and preprocessing techniques (e.g., using pandas, scikit-learn).

affects: All versions

gotchaThe `dz.get()` function requires an exact string name for the desired dataset. If an incorrect or non-existent dataset name is provided, the function will raise an error. The library does not provide a built-in method to list all available dataset names directly via its API, requiring users to consult documentation or the source code for a comprehensive list.

fix

Refer to the official Datazets GitHub repository or documentation for a list of available dataset names (e.g., 'titanic', 'iris', 'boston'). Ensure the dataset name string is spelled correctly and matches one of the supported identifiers.

affects: All versions

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'datazets'

The 'datazets' package is not installed in the current Python environment.

fix

Run `pip install datazets` to install the library.

ValueError: Selected data is not found!

The dataset name provided to `dz.get()` does not correspond to an available dataset within the library.

fix

Check the spelling of the dataset name. Consult the `datazets` documentation or GitHub README for a list of valid dataset names (e.g., `dz.get('titanic')`, not `dz.get('tianic')`).

Upgrade

Version history

1.1.3latest on PyPI · released Jun 21, 2025

Audit

Dependencies

No dependency data recorded yet.

Agent activity

19 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/erdogant/datazets ↗

packagehttps://pypi.org/project/datazets/ ↗

homepagehttps://erdogant.github.io/datazets ↗