Yfinance vs Quandl: Which is Better?

Comparing yfinance and Quandl involves evaluating two platforms that provide financial data, each with its own set of features, strengths, and weaknesses. Let’s dive into a detailed comparison to understand the nuances of each platform and determine which might be better suited for your specific needs.

Overview of yfinance:

yfinance is a Python library that allows users to access financial data from Yahoo Finance. It provides a straightforward interface for fetching historical market data, current market data, and fundamental data such as company information and financial statements. yfinance is popular among analysts, traders, and researchers due to its ease of use, comprehensive data coverage, and active community support.

Overview of Quandl:

Quandl is a financial data platform that offers access to a vast array of datasets from various sources. It provides historical and real-time data covering a wide range of asset classes, including stocks, commodities, currencies, and economic indicators. Quandl stands out for its extensive data coverage, premium-quality datasets, and powerful API that allows users to perform complex data analysis and integrate with other platforms seamlessly.


1. Data Coverage and Quality:


  • yfinance primarily relies on data sourced from Yahoo Finance, which offers coverage of stocks, ETFs, indices, currencies, and cryptocurrencies.
  • While the data quality is generally good for most publicly traded assets, there might be occasional discrepancies or missing data points.
  • It offers historical data going back several years, making it suitable for backtesting and historical analysis.


  • Quandl boasts an extensive library of premium-quality datasets sourced from reputable providers such as exchanges, financial institutions, and government agencies.
  • Its datasets cover a wide range of asset classes and markets, including equities, futures, options, fixed income, and economic indicators.
  • Quandl is known for its high-quality data, thorough validation processes, and consistent updates, making it a preferred choice for professionals and institutions requiring reliable financial data.

Winner: Quandl excels in terms of data coverage, quality, and diversity, offering premium datasets from reputable sources across various asset classes.

2. Ease of Use and Integration:


  • yfinance provides a simple and intuitive Python interface, making it easy to fetch financial data with minimal effort.
  • Its integration with Python allows for seamless integration with popular data analysis libraries such as Pandas and NumPy, enabling users to perform complex data analysis and visualization.


  • Quandl offers multiple ways to access data, including its web platform, API, and various programming language libraries.
  • Its API provides comprehensive documentation and supports multiple programming languages, making it easy to integrate with existing workflows and applications.
  • Quandl also offers plugins for popular data analysis tools like Excel, R, and Python, further simplifying data retrieval and analysis for users.

Winner: Both yfinance and Quandl offer user-friendly interfaces and integration options. The choice depends on individual preferences and specific requirements.

3. Pricing and Access:


  • yfinance is open-source and free to use, making it accessible to anyone with Python programming skills.
  • Since yfinance relies on data from Yahoo Finance, there are no additional costs associated with accessing the data.


  • Quandl offers a range of pricing plans depending on the level of access and data requirements. This includes free tier options with limited access, as well as paid plans for users requiring higher data throughput or premium datasets.
  • While Quandl’s free tier provides access to basic datasets, more advanced features and premium datasets may require a paid subscription.

Winner: yfinance wins in terms of cost-effectiveness, as it is entirely free to use. However, Quandl offers more advanced features and premium datasets for users willing to pay for access.

4. Community and Support:


  • yfinance benefits from a large and active community of users and developers, providing valuable support and resources.
  • Users can easily find help through online forums, discussion groups, and GitHub repositories dedicated to yfinance.


  • Quandl also has a supportive community of users and developers, although it might be smaller compared to yfinance.
  • Quandl provides customer support through various channels, including email, documentation, and community forums.

Winner: yfinance has a more established and vibrant community, offering extensive support resources and active participation from users and developers.

Final Conclusion on Yfinance vs Quandl: Which is Better?

In conclusion, both yfinance and Quandl offer valuable tools and resources for financial analysis and data access. The choice between the two depends on your specific requirements, preferences, and budget:

  • yfinance is an excellent choice for users seeking free, user-friendly access to financial data from Yahoo Finance.
  • Quandl stands out for its extensive data coverage, premium-quality datasets, and powerful API, making it a preferred choice for professionals and institutions requiring reliable financial data across various asset classes.

Ultimately, whether you choose yfinance or Quandl, both platforms empower users with the data and insights necessary to make informed financial decisions and conduct sophisticated analysis in today’s dynamic markets.


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