Skip to main content

Run Go-Ethereum as a subprocess

Project description


Build Status PyPi version

Python wrapper around running geth as a subprocess

System Dependency

This library requires the geth executable to be present.



pip install py-geth


To run geth connected to the mainnet

>>> from geth import LiveGethProcess
>>> geth = LiveGethProcess()
>>> geth.start()

Or a private local chain for testing. These require you to give them a name.

>>> from geth import DevGethProcess
>>> geth = DevGethProcess('testing')
>>> geth.start()

By default the DevGethProcess sets up test chains in the default datadir used by geth. If you would like to change the location for these test chains, you can specify an alternative base_dir.

>>> geth = DevGethProcess('testing', '/tmp/some-other-base-dir/')
>>> geth.start()

Each instance has a few convenient properties.

>>> geth.data_dir
>>> geth.rpc_port
>>> geth.ipc_path
>>> geth.accounts
>>> geth.is_alive
>>> geth.is_running
>>> geth.is_stopped
>>> geth.start()
>>> geth.is_alive
True  # indicates that the subprocess hasn't exited
>>> geth.is_running
True  # indicates that `start()` has been called (but `stop()` hasn't)
>>> geth.is_stopped
>>> geth.stop()
>>> geth.is_alive
>>> geth.is_running
>>> geth.is_stopped

When testing it can be nice to see the logging output produced by the geth process. py-geth provides a mixin class that can be used to log the stdout and stderr output to a logfile.

>>> from geth import LoggingMixin, DevGethProcess
>>> class MyGeth(LoggingMixin, DevGethProcess):
...     pass
>>> geth = MyGeth()
>>> geth.start()

All logs will be written to logfiles in ./logs/ in the current directory.

The underlying geth process can take additional time to open the RPC or IPC connections, as well as to start mining if it needs to generate the DAG. You can use the following interfaces to query whether these are ready.

>>> geth.is_rpc_ready
>>> geth.wait_for_rpc(timeout=30)  # wait up to 30 seconds for the RPC connection to open
>>> geth.is_ipc_ready
>>> geth.wait_for_ipc(timeout=30)  # wait up to 30 seconds for the IPC socket to open
>>> geth.is_dag_generated
>>> geth.is_mining
>>> geth.wait_for_dag(timeout=600)  # wait up to 10 minutes for the DAG to generate.

The DAG functionality currently only applies to the DAG for epoch 0.

Installing specific versions of geth

This feature is experimental and subject to breaking changes.

Versions of geth dating back to v1.9.14 can be installed using py-geth. See for the current list of supported versions.

Installation can be done via the command line:

$ python -m geth.install v1.10.17

Or from python using the install_geth function.

>>> from geth import install_geth
>>> install_geth('v1.10.17')

The installed binary can be found in the $HOME/.py-geth directory, under your home directory. The v1.10.17 binary would be located at $HOME/.py-geth/geth-v1.10.17/bin/geth.

About DevGethProcess

The DevGethProcess is designed to facilitate testing. In that regard, it is preconfigured as follows.

  • A single account is created and allocated 1 billion ether.
  • All APIs are enabled on both rpc and ipc interfaces.
  • Account 0 is unlocked
  • Networking is configured to not look for or connect to any peers.
  • The networkid of 1234 is used.
  • Verbosity is set to 5 (DEBUG)
  • Mining is enabled with a single thread.
  • The RPC interface tries to bind to 8545 but will find an open port if this port is not available.
  • The DevP2P interface tries to bind to 30303 but will find an open port if this port is not available.


If you are running with mining enabled, which is default for DevGethProcess, then you will likely need to generate the DAG manually. If you do not, then it will auto-generate the first time you run the process and this takes a while.

To generate it manually:

$ geth makedag 0 ~/.ethash

This is especially important in CI environments like Travis-CI where your process will likely timeout during generation.


Clone the repository:

$ git clone

Next, run the following from the newly-created py-geth directory:

$ pip install -e ".[dev]"

Running the tests

You can run the tests with:

pytest tests

Or you can install tox to run the full test suite.


Pandoc is required for transforming the markdown README to the proper format to render correctly on pypi.

For Debian-like systems:

apt install pandoc

Or on OSX:

brew install pandoc

To release a new version:

make release bump=$$VERSION_PART_TO_BUMP$$

The version format for this repo is {major}.{minor}.{patch} for stable, and {major}.{minor}.{patch}-{stage}.{devnum} for unstable (stage can be alpha or beta).

To issue the next version in line, specify which part to bump, like make release bump=minor or make release bump=devnum.

If you are in a beta version, make release bump=stage will switch to a stable.

To issue an unstable version when the current version is stable, specify the new version explicitly, like make release bump="--new-version 4.0.0-alpha.1 devnum"

Adding Support For New Geth Versions

There is an automation script to facilitate adding support for new geth versions:

To add support for a geth version, run the following line from the py-geth directory, substituting the version for the one you wish to add support for. Note that the v in the versioning is optional.

$ python v1.10.9

To introduce support for more than one version, pass in the versions in increasing order, ending with the latest version.

$ python v1.10.7 v1.10.8 v1.10.9

Always review your changes before committing as something may cause this existing pattern to change at some point. It is best to compare the git difference with a previous commit that introduced support for a new geth version to make sure everything looks good.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py-geth-3.8.0.tar.gz (22.4 kB view hashes)

Uploaded source

Built Distribution

py_geth-3.8.0-py3-none-any.whl (23.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page