dropthe

Python SDK for DropThe.org — access 1.9 million entities across movies, people, companies, crypto, games, universities, and more, connected by 2.18 million knowledge graph links.

Install

pip install dropthe

For pandas DataFrame support:

pip install dropthe[pandas]

Quick Start

import dropthe

# Search any entity
results = dropthe.search("Inception")
print(results[0]["name"])  # Inception

# Get a specific entity by slug
btc = dropthe.entity("bitcoin")
print(btc["type"])  # cryptocurrencies

# Top movies by popularity
top_movies = dropthe.movies(limit=10)

# Top crypto by market cap
top_crypto = dropthe.crypto(limit=10)

# Companies, games, universities
top_companies = dropthe.companies(limit=10)
top_games = dropthe.games(limit=10)
unis = dropthe.universities(limit=10)

Using the Client

For more control, use DropTheClient directly:

from dropthe import DropTheClient

with DropTheClient() as client:
    # Search with type filter
    movies = client.search("dark knight", type="movies")

    # Get entity count
    total = client.count()
    print(f"Total entities: {total:,}")  # Total entities: 1,933,637

    # Get knowledge graph links
    entity = client.search("Christopher Nolan", type="people")[0]
    links = client.links(entity["id"])

    # Geographic data (countries, cities)
    countries = client.geo("country")

Pandas DataFrames

import dropthe

# Get top movies as DataFrame
df = dropthe.movies(limit=100, as_dataframe=True)
print(df[["name", "slug"]].head())

Entity Types

Data Sources

All data comes from authoritative APIs (TMDb, CoinGecko, Wikidata, IGDB) and is enriched by DropThe's entity resolution pipeline. See the methodology for details.

Links

• DropThe.org -- Main site
• Data Hub -- Statistics and insights
• Knowledge Graph -- Entity connections
• Open Datasets -- CSV datasets on GitHub

License

MIT