timeseriesdatasets 0.1.0

A curated collection of time series datasets for data analysis, forecasting, statistical analysis, and machine learning in Python. It includes stock market prices, climate and weather data, energy consumption, air passengers, cryptocurrency, sensor readings, sales records, and more — sourced from Kaggle.

timeseriesdatasets

The timeseriesdatasets package provides a curated collection of time series datasets for data analysis, forecasting, statistical analysis, and machine learning in Python. It includes stock market prices, climate and weather data, energy consumption, air passengers, cryptocurrency, sensor readings, sales records, and more — sourced from Kaggle.

Installation

You can install the timeseriesdatasets package from PyPI:

pip install timeseriesdatasets

Usage

import timeseriesdatasets as ts

# List all available datasets

datasets = ts.list_datasets()
print(datasets)

# Load a specific dataset

df = ts.load_dataset('microsoft_stock')
print(df.head())

# Describe dataset

df_01 = ts.describe('nvidia_stock')
print(df_01)

📊 Some Available Datasets

Dataset	Description
microsoft_stock	Microsoft stock price time series from 2015 to 2021.
yahoo_stock	Yahoo stock price time series data for forecasting.
tesla_stock	Tesla stock price time series data for daily trading and forecasting.
nvidia_stock	NVIDIA stock price time series from 1999 to 2025.

Run timeseriesdatasets.list_datasets() or ts.list_datasets() (using ts as alias) to see the full list of available datasets.

License

The timeseriesdatasets library is released under the MIT License, allowing free use for both commercial and non-commercial purposes. See the LICENSE file for details.