--- id: nasdaq-data-link version: "1.0.4" license: MIT license_treatment: permissive maintenance: abandoned --- # Nasdaq-Data-Link — Package for Nasdaq Data Link API access License: permissive · Maintenance: abandoned · Downloads: 113.9K/mo ## What it is and what it does Nasdaq Data Link is an official Python client for Nasdaq's financial data API. It wraps REST calls to retrieve time-series datasets (like stock prices or economic indicators) and datatables (filtered query results) directly into pandas DataFrames, eliminating the need to write raw HTTP requests. The package handles API authentication via environment variables or a local key file, supports configurable retry logic for transient failures, and provides both quick-call and detailed programmatic interfaces. The package depends on pandas, numpy, requests, and several utility libraries (inflection, python-dateutil, six, more-itertools) to manage data transformation and HTTP communication. It is compatible with Python 3.7 and later. However, the package has been abandoned since late 2022—no updates, bug fixes, or security patches have been released since then, which is a material risk for production use. Use it for: - Download historical stock price or economic indicator time-series into a DataFrame for analysis or backtesting. - Query filtered financial datatables (e.g., earnings data for a specific ticker) and load results directly into pandas. - Automate periodic data ingestion from Nasdaq into a data pipeline or research notebook. - Retrieve multiple datasets in a loop with built-in retry logic to handle transient API failures. - Access Nasdaq's financial and economic data without writing custom HTTP request code. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides Python access to Nasdaq Data Link's REST API for retrieving financial and economic time-series datasets and datatables into pandas DataFrames. Yes, if you need to access Nasdaq Data Link and are comfortable with an abandoned library. The package is stable and has no known vulnerabilities, but you will not receive bug fixes, security patches, or support for API changes. Suitable for read-only data retrieval in non-critical workflows; risky for production systems that depend on ongoing maintenance. ## Install pip install nasdaq-data-link uv add nasdaq-data-link poetry add nasdaq-data-link ## Installing Nasdaq-Data-Link Before you install: Low install friction with a pure-Python wheel and common dependencies. However, the package is abandoned—last release was 2022-08-29 and last commit 2022-11-15—so no bug fixes or security updates are forthcoming. License in practice: MIT license is permissive and imposes no restrictions on use, modification, or redistribution in proprietary or open-source projects. Quickstart: pip install nasdaq-data-link import nasdaqdatalink data = nasdaqdatalink.get('NSE/OIL') # Returns pandas DataFrame with dataset Requires a Nasdaq Data Link API key (set via NASDAQ_DATA_LINK_API_KEY environment variable or ~/.nasdaq/data_link_apikey file) to access full data; unauthenticated calls return limited or sample data. Verify before relying: - Whether the Nasdaq Data Link API endpoint and authentication scheme remain stable and compatible with current Nasdaq infrastructure. - Whether the package's retry logic and SSL configuration options remain effective for production use given the abandoned maintenance status. - Current compatibility with pandas and numpy versions beyond those tested at release time. ## Package facts - License: MIT (permissive) - Python support: supports_current - Install friction: low - Maintenance: abandoned - Downloads: 113.9K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags nasdaq data api python client, financial data retrieval pandas, time-series economic data download, nasdaq rest api wrapper, stock market data access, financial dataset api, datatable query python, financial-data, api-client, abandoned [View on SkillFed](https://skillfed.io/packages/nasdaq-data-link) · [View on PyPI](https://pypi.org/project/nasdaq-data-link/)