Quandl
Package for quandl API access
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Quandl API key; the package is no longer maintained and Nasdaq recommends migrating to the newer Nasdaq Data Link Python client.
- 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.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
last release 2021-11-11 (1737 days) · last repo commit 2022-04-29 · 1,431 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 238,900 downloads/mo, #8,928 on PyPI
Alternatives
Verify before relying
pip install quandl
import quandl
quandl.ApiConfig.api_key = 'your_api_key'
data = quandl.get('NSE/OIL')- 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.
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 on this page. Verify before relying on it.
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
quandl on PyPI
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.
Requires a valid Quandl API key; the package is no longer maintained and Nasdaq recommends migrating to the newer Nasdaq Data Link Python client.
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')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 the current Python release >= 3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagespandasnumpyrequestsinflectionpython-dateutilsixmore-itertools |
| Maintenance | Abandoned 1,737 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 238,900 / month, #8,928 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 :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8 |
Evidence: Quandl-3.7.0-py2.py3-none-any.whl
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See also Nasdaq-Data-Link · yahooquery · openbb · wbdata · fredapi · tradingeconomics · alpha-vantage · finance-datareader · pandas-td · td-client