Nasdaq-Data-Link
Package for Nasdaq Data Link API access
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- 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.
- 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 · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes no restrictions on use, modification, or redistribution in proprietary or open-source projects.
last release 2022-08-29 (1446 days) · last repo commit 2022-11-15 · 623 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 113,937 downloads/mo, #12,321 on PyPI
Alternatives
Verify before relying
pip install nasdaq-data-link
import nasdaqdatalink
data = nasdaqdatalink.get('NSE/OIL')
# Returns pandas DataFrame with dataset- 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.
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 on this page. Verify before relying on it.
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
nasdaq-data-link on PyPI
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.
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.
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 datasetVerify 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 the current Python release >= 3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagespandasnumpyrequestsinflectionpython-dateutilsixmore-itertools |
| Maintenance | Abandoned 1,446 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 113,937 / month, #12,321 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: Nasdaq_Data_Link-1.0.4-py2.py3-none-any.whl
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