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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alexbarcelo from gravatar.com alexbarcelo Avatar for Canicula from gravatar.com Canicula Avatar for dataclay from gravatar.com dataclay Avatar for marcmonfort from gravatar.com marcmonfort

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Maintainer: BSC-DOM
  • Requires: Python >=3.9
  • Provides-Extra: dev, bsc-mn, docs, metrics, telemetry
Classifiers
Report project as malware

Project description

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

Acknolwedgments

See the full list of acknowledgments

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page