THIS IS NOW ARCHIVED. THE PROJECT HAS BEEN MOVED TO https://github.com/Raphtory/Raphtory/python
This is the python client for the Raphtory project
Install via pip
pip install raphtory-client
- PyPi https://pypi.org/project/raphtory-client/
- Github https://github.com/Raphtory/Raphtory/
- Website https://raphtory.github.io/
- Slack https://raphtory.slack.com
- Tutorial https://raphtory.readthedocs.io/en/development/PythonClient/tutorial.html#
- Documentation https://raphtory.readthedocs.io/en/development/PythonClient/RaphtoryClient.html
- Bug reports/Feature request https://github.com/raphtory/raphtory-client/issues
Raphtory is an open-source platform for distributed real-time temporal graph analytics, allowing you to load and process large dynamic datsets across time. If you would like a brief summary of what its used for before fully diving into the getting started guide please check out this article from the Alan Turing Institute first!
The documentation for this specific library can be found here
An example jupyter notebook for this client can be found here
A tutorial demonstration how to use this with an example LOTR dataset raphtory/examples/raphtory-example-lotr can be found here