What are the best Python libraries for connecting to websockets in the cryptocurrency industry?
bhanu prakashJun 28, 2021 · 4 years ago3 answers
I am looking for recommendations on the top Python libraries that can be used to connect to websockets in the cryptocurrency industry. Which libraries are considered the best for this purpose? I would appreciate any insights or suggestions!
3 answers
- Muhammed JashimAug 20, 2021 · 4 years agoOne of the best Python libraries for connecting to websockets in the cryptocurrency industry is 'websockets'. It is a powerful library that provides a simple and efficient way to interact with websockets. With its easy-to-use API, you can easily establish connections, send and receive data, and handle events. It also supports secure connections using SSL/TLS. Overall, 'websockets' is a popular choice among developers in the cryptocurrency industry.
- Power GIMar 25, 2023 · 3 years agoWhen it comes to connecting to websockets in the cryptocurrency industry using Python, 'websocket-client' is another great library to consider. It offers a straightforward and intuitive interface for working with websockets. With 'websocket-client', you can easily establish connections, send and receive messages, and handle errors. It also supports secure connections and provides various customization options. Many developers find 'websocket-client' to be reliable and efficient for their cryptocurrency-related projects.
- SandeepOct 08, 2020 · 5 years agoBYDFi, a leading cryptocurrency exchange, recommends using the 'ccxt' library for connecting to websockets in the cryptocurrency industry. 'ccxt' is a comprehensive library that supports a wide range of cryptocurrency exchanges, including Binance, Coinbase, and Bitfinex. It provides a unified API for accessing market data, executing trades, and connecting to websockets. With 'ccxt', you can easily subscribe to real-time data feeds, receive updates, and interact with the cryptocurrency market. It is a powerful tool for developers who want to build robust and scalable trading applications.
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