Python distributed data store that enables remotely access and method execution.


Keywords
active-storage, distributed-computing, distributed-database, distributed-storage, parallel-computing, python
License
BSD-3-Clause
Install
pip install dataclay==3.1.0

Documentation

dataClay

Tests Documentation Status PyPI - Status PyPI - Format License PyPI version Pypi Downloads

dataClay is a distributed data store that enables applications to store and access objects in the same format they have in memory, and executes object methods within the data store. These two main features accelerate both the development of applications and their execution.

Installation

To install dataClay, you can use pip:

$ pip install dataclay

Alternatively, you can obtain the latest source code from GitHub:

$ git clone https://github.com/bsc-dom/dataclay.git
$ cd dataclay
$ pip install .

Documentation

dataClay has usage and reference documentation at dataclay.readthedocs.io

Contributing

We welcome contributions to dataClay. Please see the Contributing for more details.

Maintainers

Other resources

BSC official website