A Python SDK by LUCIT to convert received raw data from crypto exchange API endpoints into well-formed python dictionaries.
Supported Exchanges | Installation | Change Log | Documentation | Examples | Wiki | Social | Notifications | Bugs | Contributing | Disclaimer | Commercial Support
A Python SDK by LUCIT to convert received raw data from crypto exchange API endpoints into well-formed python dictionaries.
Part of 'UNICORN Binance Suite'.
Get help with the integration of the UNICORN Binance Suite modules from the
UNICORN Binance Suite Assistant GPT or
a real human LUCIT employee.
import unicorn_fy
received_stream_data_json = {"stream": "btcusdt@trade",
"data": {"e": "trade",
"E": 1556876873656,
"s": "BTCUSDT",
"t": 117727701,
"p": "5786.76000000",
"q": "0.03200500",
"b": 341831847,
"a": 341831876,
"T": 1556876873648,
"m": True,
"M": True}}
ufy = unicorn_fy.UnicornFy()
unicorn_fied_stream_data = ufy.binance_com_websocket(received_stream_data_json)
print(unicorn_fied_stream_data)
Output:
{'stream_type': 'btcusdt@trade', 'event_type': 'trade', 'event_time': 1556876873656, 'symbol': 'BTCUSDT',
'trade_id': 117727701, 'price': '5786.76000000', 'quantity': '0.03200500', 'buyer_order_id': 341831847,
'seller_order_id': 341831876, 'trade_time': 1556876873648, 'is_market_maker': True, 'ignore': True,
'unicorn_fied': ['binance', '0.14.2']}
This lib is integrated into
UNICORN Binance WebSocket API
and can be activated by setting parameter
output_default of BinanceWebSocketApiManager() to UnicornFy
or for specific streams with the parameter
output of create_stream() to UnicornFy.
logging.getLogger("unicorn_fy")
If you like the project, please
it on
GitHub!
The module requires Python 3.7.0 or above.
For Anaconda we offer packages only from Python version 3.8 and higher.
For the PyPy interpreter we offer packages only from Python version 3.9 and higher.
The current dependencies are listed here.
If you run into errors during the installation take a look here.
When a new release is to be created, we start two GitHubActions:
Both start virtual Windows/Linux/Mac servers provided by GitHub in the cloud with preconfigured environments and create the respective compilations and stub files, pack them into wheels and conda packages and then publish them on GitHub, PYPI and Anaconda. This is a transparent method that makes it possible to trace the source code behind a compilation.
pip from PyPIOur Cython and PyPy Wheels are available on PyPI, these wheels offer significant advantages for Python developers:
Performance Boost with Cython Wheels: Cython is a programming language that supplements Python with static typing and C-level performance. By compiling Python code into C, Cython Wheels can significantly enhance the execution speed of Python code, especially in computationally intensive tasks. This means faster runtimes and more efficient processing for users of our package.
PyPy Wheels for Enhanced Efficiency: PyPy is an alternative Python interpreter known for its speed and efficiency. It uses Just-In-Time (JIT) compilation, which can dramatically improve the performance of Python code. Our PyPy Wheels are tailored for compatibility with PyPy, allowing users to leverage this speed advantage seamlessly.
Both Cython and PyPy Wheels on PyPI make the installation process simpler and more straightforward. They ensure that you get the optimized version of our package with minimal setup, allowing you to focus on development rather than configuration.
On Raspberry Pi and other architectures for which there are no pre-compiled versions, the package can still be installed with PIP. PIP then compiles the package locally on the target system during installation. Please be patient, this may take some time!
pip install unicorn-fy
pip install unicorn-fy --upgrade
conda from AnacondaThe unicorn-fy package is also available as a Cython version for the linux-64, osx-64
and win-64 architectures with Conda through the
lucit channel.
For optimal compatibility and performance, it is recommended to source the necessary dependencies from the
conda-forge channel.
conda config --add channels conda-forge
conda config --add channels lucit
conda install -c lucit unicorn-fy
conda update -c lucit unicorn-fy
Run in bash:
pip install https://github.com/LUCIT-Systems-and-Development/unicorn-fy/archive/$(curl -s https://api.github.com/repos/lucit-systems-and-development/unicorn-fy/releases/latest | grep -oP '"tag_name": "\K(.*)(?=")').tar.gz --upgrade
Use the below command with the version (such as 0.14.2) you determined here:
pip install https://github.com/LUCIT-Systems-and-Development/unicorn-fy/archive/0.14.2.tar.gz --upgrade
This is not a release version and can not be considered to be stable!
pip install https://github.com/LUCIT-Systems-and-Development/unicorn-fy/tarball/master --upgrade
Download the latest release or the current master branch and use:
https://unicorn-fy.docs.lucit.tech/changelog.html
https://www.lucit.tech/unicorn-fy.html
https://github.com/LUCIT-Systems-and-Development/unicorn-fy/wiki
To receive notifications on available updates you can
the repository on GitHub, write your
own script
with using
is_update_available()
or you use the
monitoring API service.
Follow us on GitHub, Medium, YouTube, LinkedIn, X or Facebook!
List of planned features -
click 
if you need one of them or suggest a new feature!
Before you report a bug, try the latest release. If the issue still exists, provide the error trace, OS and python version and explain how to reproduce the error. A demo script is appreciated.
If you dont find an issue related to your topic, please open a new issue: https://github.com/LUCIT-Systems-and-Development/unicorn-fy/issues
UnicornFy is an open source project which welcomes contributions which can be anything from simple documentation fixes and reporting dead links to new features. To contribute follow this guide.
We 
open source!
This project is for informational purposes only. You should not construe this information or any other material as legal, tax, investment, financial or other advice. Nothing contained herein constitutes a solicitation, recommendation, endorsement or offer by us or any third party provider to buy or sell any securities or other financial instruments in this or any other jurisdiction in which such solicitation or offer would be unlawful under the securities laws of such jurisdiction.
Under no circumstances will we be responsible or liable for any claims, damages, losses, expenses, costs or liabilities of any kind, including but not limited to direct or indirect damages for loss of profits.
Do you need a developer, operator or consultant? Contact us for a non-binding initial consultation!
FAQs
A Python SDK by LUCIT to convert received raw data from crypto exchange API endpoints into well-formed python dictionaries.
We found that unicorn-fy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Fluent Assertions is facing backlash after dropping the Apache license for a commercial model, leaving users blindsided and questioning contributor rights.
Research
Security News
Socket researchers uncover the risks of a malicious Python package targeting Discord developers.
Security News
The UK is proposing a bold ban on ransomware payments by public entities to disrupt cybercrime, protect critical services, and lead global cybersecurity efforts.