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A simplified and standardized interface for Bitcoin ASICs.




A simplified and standardized interface for Bitcoin ASICs.

PyPI - Version PyPI - Downloads

Python - Supported Versions CodeFactor - Grade Commit Activity - master

Code Style - Black Read The Docs - Docs License - Apache 2.0


Welcome to pyasic! pyasic uses an asynchronous method of communicating with ASIC miners on your network, which makes it super fast.

Click here to view supported miner types


It is recommended to install pyasic in a virtual environment to isolate it from the rest of your system. Options include:

  • pypoetry: the reccommended way, since pyasic already uses it by default
    poetry install
  • venv: included in Python standard library but has fewer features than other options
  • pyenv-virtualenv: pyenv plugin for managing virtualenvs
    pyenv install <python version number>
    pyenv virtualenv <python version number> <env name>
    pyenv activate <env name>
Installing pyasic

python -m pip install pyasic or poetry install

Additional Developer Setup
poetry install --with dev
pre-commit install

Getting started

Getting started with pyasic is easy. First, find your miner (or miners) on the network by scanning for them or getting the correct class automatically for them if you know the IP.

Scanning for miners

To scan for miners in pyasic, we use the class MinerNetwork, which abstracts the search, communication, identification, setup, and return of a miner to 1 command. The command MinerNetwork.scan() returns a list that contains any miners found.

import asyncio  # asyncio for handling the async part
from import MinerNetwork  # miner network handles the scanning

async def scan_miners():  # define async scan function to allow awaiting
    # create a miner network
    # you can pass in any IP and it will use that in a subnet with a /24 mask (255 IPs).
    network = MinerNetwork.from_subnet("")  # this uses the network

    # scan for miners asynchronously
    # this will return the correct type of miners if they are supported with all functionality.
    miners = await network.scan()

if __name__ == "__main__":  # run the scan asynchronously with

Creating miners based on IP

If you already know the IP address of your miner or miners, you can use the MinerFactory to communicate and identify the miners, or an abstraction of its functionality, get_miner(). The function get_miner() will return any miner it found at the IP address specified, or an UnknownMiner if it cannot identify the miner.

import asyncio  # asyncio for handling the async part
from pyasic import get_miner # handles miner creation

async def get_miners():  # define async scan function to allow awaiting
    # get the miner with the miner factory
    # the miner factory is a singleton, and will always use the same object and cache
    # this means you can always call it as MinerFactory().get_miner(), or just get_miner()
    miner_1 = await get_miner("")
    miner_2 = await get_miner("")
    print(miner_1, miner_2)

    # can also gather these, since they are async
    # gathering them will get them both at the same time
    # this makes it much faster to get a lot of miners at a time
    tasks = [get_miner(""), get_miner("")]
    miners = await asyncio.gather(*tasks)

if __name__ == "__main__":  # get the miners asynchronously with

Data gathering

Once you have your miner(s) identified, you will likely want to get data from the miner(s). You can do this using a built-in function in each miner called get_data(). This function will return an instance of the dataclass MinerData with all data it can gather from the miner. Each piece of data in a MinerData instance can be referenced by getting it as an attribute, such as MinerData().hashrate.

One miner
import asyncio
from pyasic import get_miner

async def gather_miner_data():
    miner = await get_miner("")
    if miner is not None:
        miner_data = await miner.get_data()
        print(miner_data)  # all data from the dataclass
        print(miner_data.hashrate)  # hashrate of the miner in TH/s

if __name__ == "__main__":

Multiple miners

You can do something similar with multiple miners, with only needing to make a small change to get all the data at once.

import asyncio  # asyncio for handling the async part
from import MinerNetwork  # miner network handles the scanning

async def gather_miner_data():  # define async scan function to allow awaiting
    network = MinerNetwork.from_subnet("")
    miners = await network.scan()

    # we need to asyncio.gather() all the miners get_data() functions to make them run together
    all_miner_data = await asyncio.gather(*[miner.get_data() for miner in miners])

    for miner_data in all_miner_data:
        print(miner_data)    # print out all the data one by one

if __name__ == "__main__":

Miner control

pyasic exposes a standard interface for each miner using control functions. Every miner class in pyasic must implement all the control functions defined in BaseMiner.

These functions are check_light, fault_light_off, fault_light_on, get_config, get_data, get_errors, get_hostname, get_model, reboot, restart_backend, stop_mining, resume_mining, is_mining, send_config, and set_power_limit.

import asyncio
from pyasic import get_miner

async def set_fault_light():
    miner = await get_miner("")

    # call control function
    await miner.fault_light_on()

if __name__ == "__main__":

Helper dataclasses

MinerConfig and MinerData

pyasic implements a few dataclasses as helpers to make data return types consistent across different miners and miner APIs. The different fields of these dataclasses can all be viewed with the classmethod cls.fields().


MinerData is a return from the get_data() function, and is used to have a consistent dataset across all returns.

You can call MinerData.as_dict() to get the dataclass as a dictionary, and there are many other helper functions contained in the class to convert to different data formats.

MinerData instances can also be added to each other to combine their data and can be divided by a number to divide all their data, allowing you to get average data from many miners by doing -

from pyasic import MinerData

# examples of miner data
d1 = MinerData("")
d2 = MinerData("")

list_of_miner_data = [d1, d2]

average_data = sum(list_of_miner_data, start=MinerData(""))/len(list_of_miner_data)


MinerConfig is pyasic's way to represent a configuration file from a miner. It is designed to unionize the configuration of all supported miner types, and is the return from get_config().

Each miner has a unique way to convert the MinerConfig to their specific type, there are helper functions in the class. In most cases these helper functions should not be used, as send_config() takes a [MinerConfig and will do the conversion to the right type for you.

You can use the MinerConfig as follows:

import asyncio
from pyasic import get_miner

async def set_fault_light():
    miner = await get_miner("")

    # get config
    cfg = await miner.get_config()

    # send config
    await miner.send_config(cfg)

if __name__ == "__main__":


pyasic has settings designed to make using large groups of miners easier. You can set the default password for all types of miners using the pyasic.settings module, used as follows:

from pyasic import settings

settings.update("default_antminer_password", "my_pwd")
Default values:
"network_ping_retries": 1,
"network_ping_timeout": 3,
"network_scan_semaphore": None,
"factory_get_retries": 1,
"factory_get_timeout": 3,
"get_data_retries": 1,
"api_function_timeout": 5,
"antminer_mining_mode_as_str": False,
"default_whatsminer_rpc_password": "admin",
"default_innosilicon_web_password": "admin",
"default_antminer_web_password": "root",
"default_bosminer_web_password": "root",
"default_vnish_web_password": "admin",
"default_goldshell_web_password": "123456789",
"default_auradine_web_password": "admin",
"default_epic_web_password": "letmein",
"default_hive_web_password": "admin",
"default_antminer_ssh_password": "miner",
"default_bosminer_ssh_password": "root",

# Only use this if you know what you are doing
"socket_linger_time": 1000,


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