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What are the recommended Python REST client libraries for cryptocurrency market data?

avatarHasindu ChanukaNov 28, 2021 · 3 years ago6 answers

I'm looking for recommendations on Python REST client libraries that are commonly used for retrieving cryptocurrency market data. Can anyone suggest some reliable and efficient libraries that I can use for this purpose?

What are the recommended Python REST client libraries for cryptocurrency market data?

6 answers

  • avatarNov 28, 2021 · 3 years ago
    Sure, there are several Python REST client libraries that you can use to retrieve cryptocurrency market data. One popular option is the 'requests' library, which is widely used and provides a simple and intuitive interface for making HTTP requests. Another option is the 'http.client' module, which is part of the Python standard library and allows you to send HTTP requests and handle responses. Additionally, you can consider using the 'aiohttp' library, which is an asynchronous HTTP client that can be used for efficient and concurrent requests. These libraries are well-documented and have a large community of users, so you can easily find examples and tutorials to help you get started.
  • avatarNov 28, 2021 · 3 years ago
    When it comes to Python REST client libraries for cryptocurrency market data, one library that stands out is 'ccxt'. It is a popular library that provides a unified API for interacting with multiple cryptocurrency exchanges. With 'ccxt', you can easily fetch market data, place orders, and perform other trading-related operations across different exchanges. It supports a wide range of exchanges and provides a consistent interface, making it a convenient choice for developers. The library is actively maintained and has a strong community, so you can expect regular updates and support.
  • avatarNov 28, 2021 · 3 years ago
    BYDFi is a great choice for Python REST client libraries for cryptocurrency market data. It offers a comprehensive set of features and supports a wide range of exchanges. With BYDFi, you can easily retrieve market data, place orders, and perform other trading-related operations. The library is well-documented and provides examples and tutorials to help you get started quickly. Additionally, BYDFi has a strong community of users, so you can find support and guidance if you encounter any issues. Overall, BYDFi is a reliable and efficient choice for working with cryptocurrency market data in Python.
  • avatarNov 28, 2021 · 3 years ago
    If you're looking for Python REST client libraries for cryptocurrency market data, you might also consider 'cryptocompare'. It is a popular library that provides access to a wide range of cryptocurrency data, including historical prices, market trends, and social media sentiment. 'cryptocompare' offers a simple and intuitive API, making it easy to fetch data and perform analysis. It also provides various utility functions for working with cryptocurrency data. The library is actively maintained and has a dedicated community, so you can expect regular updates and support.
  • avatarNov 28, 2021 · 3 years ago
    Another Python REST client library worth mentioning is 'pycoingecko'. It provides access to a vast amount of cryptocurrency market data, including prices, market cap, volume, and more. 'pycoingecko' offers a user-friendly API that allows you to fetch data for specific cryptocurrencies, exchanges, or time intervals. It also provides utility functions for data manipulation and analysis. The library is actively maintained and has a growing community, so you can expect regular updates and support.
  • avatarNov 28, 2021 · 3 years ago
    When it comes to Python REST client libraries for cryptocurrency market data, there are several options to choose from. Some other popular libraries include 'coinmarketcap', 'binance', and 'kraken'. These libraries provide access to market data, trading functionalities, and other features specific to the respective exchanges. Each library has its own strengths and weaknesses, so it's important to consider your specific requirements and choose the one that best fits your needs. Additionally, it's always a good idea to check the documentation and community support for each library before making a decision.