{"repo":"DataSetIQ/datasetiq-python","free":true,"listed":false,"github":"https://github.com/DataSetIQ/datasetiq-python","clone":"git clone https://github.com/DataSetIQ/datasetiq-python.git","description":"Official Python client for DataSetIQ — The Modern Economic Data Platform. Access millions of datasets with pandas-ready DataFrames.","language":"Python","stars":43,"topics":["data-science","datasets","economics","finance","macro","macroeconomics","macros","quant","research-and-development","fintech"],"license":"MIT","category":"trading","readme_excerpt":"DataSetIQ Python Client Official Python SDK for DataSetIQ — The Modern Economic Data Platform --- 🚀 Features - Millions of Macro Datasets : Access FRED, BLS, Census, World Bank, IMF, OECD, and more - Pandas-Ready : Returns clean DataFrames with date index - Intelligent Caching : Disk-based caching with TTL (24h default) - Automatic Retries : Exponential backoff with Retry-After support - Free Tier : 25 requests/minute + 25 AI insights/month - Type-Safe Errors : Helpful exception messages with upgrade paths --- 📦 Installation Requirements : Python 3.9+ --- 🔑 Quick Start 1. Get Your Free API Key Visit datasetiq.com/dashboard/api-keys to create a free account and generate your API key. 2. Fetch Economic Data Output: 3. Plot It --- 📖 API Reference Core Functions get(series id, start=None, end=None, dropna=False) Fetch time series data as a Pandas DataFrame. Parameters: - series id (str): Series identifier (e.g., \"fred-cpi\" , \"bls-unemployment\" ) - start (str, optional): Start date in YYYY-MM-DD format - end (str, optional): End date in YYYY-MM-DD format - dropna (bool): Drop rows with NaN values (default: False ) Returns: pd.DataFrame with date index and value column Example: --- search(query, limit=10, offset=0) Search for datasets by keyword. Parameters: - query (str): Search term (searches titles, descriptions, IDs) - limit (int): Max results to return (default: 10 , max: 10 ) - offset (int): Pagination offset (default: 0 ) - mode (str): \"keyword\" (default) or \"semantic\" (","default_branch":null,"files":null,"tree":[],"storefront":"/r/DataSetIQ","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DataSetIQ/datasetiq-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}