Top 10 Useful Python Packages to Pull Cryptocurrency Data Seamlessly
The top useful Python packages to pull cryptocurrency data seamlessly are enlisted
With the response from the general public, the cryptocurrency market has recently attracted a good amount of developers from all over the world in addition to investors and businesses. So, we have created a list of useful Python packages to pull cryptocurrency data seamlessly.
The trend is still in place today without any interruptions, but using bitcoin market data to produce crypto-based businesses has started a brand-new chapter. There are several sources for obtaining cryptocurrency data, but dependability is the most crucial aspect to take into account so it’s best to opt for Python packages. In this article, we’re going to look at the top useful Python packages to pull cryptocurrency data seamlessly.
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Alpha Vantage
A new player by the name of Alpha Vantage gained traction when the Yahoo Finance API ceased working. It was one of the first data suppliers and served as an excellent substitute for Yahoo Finance API in the beginning. Up to this point, Alpha Vantage usage has not decreased. The best aspect is that most of the data is free to use up to a certain level, and they offer hundreds of API endpoints for all sorts of data. They offer excellent documentation with a tonne of examples, even though it is not as sophisticated as IEX Clouds.
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Pandas DataReader
A sub-package of Python’s Pandas is called Pandas DataReader. This package pulls historical data for the specified stock or cryptocurrency symbol from the Yahoo Finance API. As no API key is required to extract data, analyze data, or manipulate data, this resource is suitable for novices. The data that was extracted and the original market data are practically identical.
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YFinance
YFinance is a Python library used to extract various types of market data, much like Pandas DataReader. With the help of YFinance, one may extract not only historical data but also information on relevant topics, such as the profile of a specific symbol.
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CrytpoCompare
With the help of its highly customizable APIs, CryptoCompare enables customers to extract numerous types of cryptocurrency data. Many API endpoints, including those containing various kinds of blockchain data, are available to users. Due to CryptoCompare’s user-friendly website and documentation, where the appropriate API URL may be built and adjusted, the majority of users fall in love with it.
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IEX Cloud
The vast array of API endpoints offered by IEX Cloud includes market data for stocks, commodities, FX, options, and cryptocurrencies. The API is simple to use in any programming language, and the data is trustworthy. The API has several highly customizable parameters that may be used to obtain the necessary data. I genuinely appreciate how much effort and time IEX Cloud put into producing excellent documentation.
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Twelve Data
With a huge number of API endpoints for all kinds of market data, Twelve Data is now one of the top producers of market data. The Twelve Data APIs have some of the greatest documentation ever and are extremely simple to use. If you want to learn how to extract crypto data via APIs, this is a fantastic starting point.
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Polygon.io
The regular updating of market data on Polygon.io is one of its finest features. The data is updated in real-time and offers some of the most precise market information. This platform provides an infinite number of APIs with excellent documentation, just like Twelve Data.
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Messari
Each endpoint is well explained with several examples in the Messari API documentation. They even offer the Python, JavaScript, and shell scripts needed to submit an API request. The API documentation’s division of outdated functioning APIs from deprecated APIs is the second issue.
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Fastquant
The get_crypto_data() function of the potent Python package Fastquant, which mostly focuses on backtesting trading techniques, offers trustworthy cryptocurrency data. The historical market data for the provided cryptocurrency for the defined period will be returned by this method.
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Coinlayer
Another helpful tool that offers a sizable number of API endpoints with highly configurable capabilities is Coinlayer. The data has excellent documentation and is quite trustworthy. With any programming language, interacting with the APIs is simple.
The post Top 10 Useful Python Packages to Pull Cryptocurrency Data Seamlessly appeared first on Analytics Insight.
The top useful Python packages to pull cryptocurrency data seamlessly are enlisted
With the response from the general public, the cryptocurrency market has recently attracted a good amount of developers from all over the world in addition to investors and businesses. So, we have created a list of useful Python packages to pull cryptocurrency data seamlessly.
The trend is still in place today without any interruptions, but using bitcoin market data to produce crypto-based businesses has started a brand-new chapter. There are several sources for obtaining cryptocurrency data, but dependability is the most crucial aspect to take into account so it’s best to opt for Python packages. In this article, we’re going to look at the top useful Python packages to pull cryptocurrency data seamlessly.
-
Alpha Vantage
A new player by the name of Alpha Vantage gained traction when the Yahoo Finance API ceased working. It was one of the first data suppliers and served as an excellent substitute for Yahoo Finance API in the beginning. Up to this point, Alpha Vantage usage has not decreased. The best aspect is that most of the data is free to use up to a certain level, and they offer hundreds of API endpoints for all sorts of data. They offer excellent documentation with a tonne of examples, even though it is not as sophisticated as IEX Clouds.
-
Pandas DataReader
A sub-package of Python’s Pandas is called Pandas DataReader. This package pulls historical data for the specified stock or cryptocurrency symbol from the Yahoo Finance API. As no API key is required to extract data, analyze data, or manipulate data, this resource is suitable for novices. The data that was extracted and the original market data are practically identical.
-
YFinance
YFinance is a Python library used to extract various types of market data, much like Pandas DataReader. With the help of YFinance, one may extract not only historical data but also information on relevant topics, such as the profile of a specific symbol.
-
CrytpoCompare
With the help of its highly customizable APIs, CryptoCompare enables customers to extract numerous types of cryptocurrency data. Many API endpoints, including those containing various kinds of blockchain data, are available to users. Due to CryptoCompare’s user-friendly website and documentation, where the appropriate API URL may be built and adjusted, the majority of users fall in love with it.
-
IEX Cloud
The vast array of API endpoints offered by IEX Cloud includes market data for stocks, commodities, FX, options, and cryptocurrencies. The API is simple to use in any programming language, and the data is trustworthy. The API has several highly customizable parameters that may be used to obtain the necessary data. I genuinely appreciate how much effort and time IEX Cloud put into producing excellent documentation.
-
Twelve Data
With a huge number of API endpoints for all kinds of market data, Twelve Data is now one of the top producers of market data. The Twelve Data APIs have some of the greatest documentation ever and are extremely simple to use. If you want to learn how to extract crypto data via APIs, this is a fantastic starting point.
-
Polygon.io
The regular updating of market data on Polygon.io is one of its finest features. The data is updated in real-time and offers some of the most precise market information. This platform provides an infinite number of APIs with excellent documentation, just like Twelve Data.
-
Messari
Each endpoint is well explained with several examples in the Messari API documentation. They even offer the Python, JavaScript, and shell scripts needed to submit an API request. The API documentation’s division of outdated functioning APIs from deprecated APIs is the second issue.
-
Fastquant
The get_crypto_data() function of the potent Python package Fastquant, which mostly focuses on backtesting trading techniques, offers trustworthy cryptocurrency data. The historical market data for the provided cryptocurrency for the defined period will be returned by this method.
-
Coinlayer
Another helpful tool that offers a sizable number of API endpoints with highly configurable capabilities is Coinlayer. The data has excellent documentation and is quite trustworthy. With any programming language, interacting with the APIs is simple.
The post Top 10 Useful Python Packages to Pull Cryptocurrency Data Seamlessly appeared first on Analytics Insight.
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