opendatasets is a Python library for downloading datasets from online sources like Kaggle and Google Drive using a simple Python command.
Install the library using pip:
pip install opendatasets --upgrade
Datasets can be downloaded within a Jupyter notebook or Python script using the opendatasets.download helper function. Here's some sample code for downloading the US Elections Dataset:
import opendatasets as od
dataset_url = 'https://www.kaggle.com/tunguz/us-elections-dataset'
od.download('https://www.kaggle.com/tunguz/us-elections-dataset')
dataset_url can also point to a public Google Drive link or a raw file URL.
opendatasets uses the Kaggle Official API for donwloading dataset from Kaggle. Follow these steps to find your API credentials:
-
Go to https://kaggle.com/me/account (sign in if required).
-
Scroll down to the "API" section and click "Create New API Token". This will download a file
kaggle.jsonwith the following contents:
{"username":"YOUR_KAGGLE_USERNAME","key":"YOUR_KAGGLE_KEY"}
- When you run
opendatsets.download, you will be asked to enter your username & Kaggle API, which you can get from the file downloaded in step 2.
Note that you need to download the kaggle.json file only once. You can also place the kaggle.json file in the same directory as the Jupyter notebook, and the credentials will be read automatically.
IMPORTANT NOTE: If you're downloading a competition dataset, make sure to first accept the rules of the competition.
You can find interesting datasets on Kaggle: https://www.kaggle.com/datasets
You can also create a new dataset on Kaggle by uploading a CSV file here: https://www.kaggle.com/datasets?new=true (make sure to keep your dataset public, otherwise it will not be downloadable)
- Video Games sales: https://www.kaggle.com/gregorut/videogamesales
- World University Rankings: https://www.kaggle.com/mylesoneill/world-university-rankings
- Netflix Tv shows and Movies: https://www.kaggle.com/shivamb/netflix-shows/notebooks
- StackOverflow Developer Survey: https://www.kaggle.com/stackoverflow/stack-overflow-2018-developer-survey
- Google Play Store Android Apps Data: https://www.kaggle.com/lava18/google-play-store-apps
- Indian Stock Market Data: https://www.kaggle.com/rohanrao/nifty50-stock-market-data
- Indian Air Quality: https://www.kaggle.com/rohanrao/air-quality-data-in-india
- Worldwide Covid-19 Cases: https://www.kaggle.com/imdevskp/corona-virus-report
- USA Covid-19 Cases: https://www.kaggle.com/sudalairajkumar/covid19-in-usa
- US Election Results (2012): https://www.kaggle.com/tunguz/us-elections-dataset
- US Stock Market: https://www.kaggle.com/borismarjanovic/price-volume-data-for-all-us-stocks-etfs/
- Crop production in India: https://www.kaggle.com/srinivas1/agricuture-crops-production-in-india
- Agricultural raw material prices: https://www.kaggle.com/kianwee/agricultural-raw-material-prices-19902020
- Agricultural land values: https://www.kaggle.com/jmullan/agricultural-land-values-19972017
- Digital payments in India: https://www.kaggle.com/lazycipher/upi-usage-statistics-aug16-to-feb20
- US Unemployment Rate Data: https://www.kaggle.com/jayrav13/unemployment-by-county-us
- India Road accident Data: https://community.data.gov.in/statistics-of-road-accidents-in-india/
- Data Science Jobs Data:
- Youtube Trending Videos: https://www.kaggle.com/datasnaek/youtube-new
- Asteroid Dataset: https://www.kaggle.com/sakhawat18/asteroid-dataset
- Solar flares Data: https://www.kaggle.com/khsamaha/solar-flares-rhessi
- F-1 Race Data: https://www.kaggle.com/cjgdev/formula-1-race-data-19502017
- Automobile Insurance: https://www.kaggle.com/aashishjhamtani/automobile-insurance
- PUBG video game matches: https://www.kaggle.com/skihikingkevin/pubg-match-deaths
- CounterStrike GO (video game)
- Dota 2 (video game): https://www.kaggle.com/devinanzelmo/dota-2-matches
- Cricket One-Day Internationals Data: https://www.kaggle.com/jaykay12/odi-cricket-matches-19712017
- Cricket Indian Premier League Data: https://www.kaggle.com/nowke9/ipldata
- Basketball (NCAA): https://www.kaggle.com/ncaa/ncaa-basketball
- Basketball NBA Players Stats: https://www.kaggle.com/ncaa/ncaa-basketball
- Football datasets:
- Hotel Booking Demand: https://www.kaggle.com/jessemostipak/hotel-booking-demand
- New York Airbnb listings: https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data
Other sources to look for datasets:
If you use an external source other than Kaggle, you'll create a new dataset on Kaggle by uploading a CSV file here: https://www.kaggle.com/datasets?new=true (make sure to keep your dataset public, otherwise it will not be downloadable using opendatasets)
opendatasets also provides some curated datsets that you can download by passing the Dataset ID to opendatasets.download. Here's an example:
import opendatasets
opendatasets.download('stackoverflow-developer-survey-2020')
The following datasets are available for download.
| Dataset ID | Description | Source |
|---|---|---|
stackoverflow-developer-survey-2020 |
Stack Overflow Developer Survey 2020 | Stack Overflow |
owid-covid-19-latest |
Covid-19 Stats by Our World in Data | Our World in Data |
state-of-javascript-2016 |
State of Javascript Annual Survey 2016 | StateOfJS |
state-of-javascript-2017 |
State of Javascript Annual Survey 2017 | StateOfJS |
state-of-javascript-2018 |
State of Javascript Annual Survey 2018 | StateOfJS |
state-of-javascript-2019 |
State of Javascript Annual Survey 2019 | StateOfJS |
countries-languages-spoken |
Languages Spoken in Different Countries | Infoplease |
More datasets will be added soon..
This is an open source project and we welcome contributions.
- Clone the repository:
git clone https://github.com/JovianML/opendatasets.git
- Setup the Python environment for development
conda create -n opendatasets python=3.5
conda activate opendatasets
pip install -r requirements.txt
- Open up the project in VS code and make your changes. Make sure to install the Python Extension for VS Code and select the
opendatasetsconda environment.
This package is developed and maintained by the Jovian team.
