--- id: quandl version: "3.7.0" license: MIT license_treatment: permissive maintenance: abandoned --- # Quandl — Package for quandl API access License: permissive · Maintenance: abandoned · Downloads: 238.9K/mo ## What it is and what it does Quandl is a Python client for fetching financial and economic datasets from the Quandl API (now part of Nasdaq Data Link). It simplifies data retrieval by wrapping HTTP requests and returning results directly as pandas DataFrames, supporting both time-series datasets and non-time-series datatables. The package handles API authentication, retry logic, and SSL configuration. The package depends on pandas, numpy, requests, and several utility libraries. It was last updated in November 2021 and is now archived; Nasdaq has released a newer Nasdaq Data Link Python client as the official successor. The original package remains functional for legacy integrations but receives no new features or maintenance. Use it for: - Retrieve historical stock prices or economic indicators into a pandas DataFrame for analysis. - Automate periodic downloads of financial datasets with built-in retry and backoff logic. - Query specific rows from Nasdaq datatables using filter parameters like ticker symbols. - Integrate legacy financial data pipelines that depend on the original Quandl API client. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Quandl provides a Python client for accessing financial and economic data through the Quandl API, returning datasets and datatables as pandas DataFrames. No, unless you are maintaining legacy code already using this package. The package is abandoned (last commit 2022-04-29) and Nasdaq explicitly recommends migrating to the newer Nasdaq Data Link Python client. For new projects, use the successor package instead. For existing code, evaluate migration feasibility before adding new dependencies on this unmaintained version. ## Install pip install quandl uv add quandl poetry add quandl ## Installing Quandl Before you install: Low install friction with common dependencies (pandas, numpy, requests). However, the package is abandoned as of 2022-04-29 with no recent maintenance; Nasdaq has moved users to a newer Nasdaq Data Link version. Use only if locked to legacy code. License in practice: MIT license permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention. Quickstart: pip install quandl import quandl quandl.ApiConfig.api_key = 'your_api_key' data = quandl.get('NSE/OIL') Requires a valid Quandl API key; the package is no longer maintained and Nasdaq recommends migrating to the newer Nasdaq Data Link Python client. Verify before relying: - Current status of Quandl API endpoints and whether they remain operational post-Nasdaq transition. - Compatibility with modern pandas/numpy versions beyond those tested in 2021. - Whether the newer Nasdaq Data Link client is a drop-in replacement or requires code changes. ## Package facts - License: MIT (permissive) - Python support: supports_current - Install friction: low - Maintenance: abandoned - Downloads: 238.9K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags financial data api client, quandl api python, economic data retrieval, nasdaq data link python, time series data download, financial dataset access, api wrapper pandas, financial-data, deprecated, api-client [View on SkillFed](https://skillfed.io/packages/quandl) · [View on PyPI](https://pypi.org/project/quandl/)