Open Source Python System Software - Page 70

Package or update manager for Slackware Linux.

A home for Ethereum smart contracts verified on Etherscan. This is the index repository for the smart contract sanctuary. Bookmark this repo. Chain-specific sub-repos and the index are updated twice a day. Expect a full, recursive check-out to take 2GB+ disk space. Existing repository but submodules never initialized - checkout submodules and update all chain-specific sub repositories. Contains smart contract sources for various networks, grouped by the first two chars of the contract address. A scriptable semantic grep utility for solidity (crunch numbers, find specific contracts, extract data) Semgrep is a fast, open-source, static analysis tool for finding bugs and enforcing code standards at editor, commit, and CI time, and now supports Solidity! A powerful online code search service that can be used to search the sanctuary without cloning.

Smart Copy is a single-file Python app for batch execution (Ant-like) of commands. For example, SC can dump a SQL database, zip it and a source dir, and then send everything to an FTP site. Batch files are XML-based. See More >> Wiki for full details.

A metering and charge-back mechanism based on real time pricing (RTP) for the cloud services. This project caters to the need of a dynamic pay-per-use model in the cloud environment.

Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.

SmartDog is anti-spam,intrution detection software for windows/linux. And, it contains many features that are all requried by a normal user to network administrator. Visit to the home page for more clarity.

Python framework to automate your home. Plugins for: KNX, 1-Wire and counting...

Everyday life history is becoming of high interest due to the growing amount of various historical sources related to common human being. Analysis of such sources needs considering them as interrelated. Evaluation of such relations leads to meaningful results for different groups of information consumers: from professional historians and experts from close humanitarian sciences to common people, interested in everyday community life. Corpuses of everyday life history sources are being collected in many museums and document archives. In this project, we consider the problem of creating software infrastructure for collaborative semantic annotation, information relation, and personalized access to corpus of everyday life history sources. Project financially supported from Department for Humanities of Russian Fund for Basic Research according to project # 16-01-12033. Authors: Vdovenko A., Marchenkov S., Petrina O., Korzun D.

SnakeTrap is a web frontend for SNMPTT written in Python and Django (hence the name). It enables you to graphically configure what to do when a SNMP trap is received. A few scripts are included to notify through Nagios and regular email.

Snap! is now hosted at github. You may find it at http://github.com/movitto/snap

The Snes9x Python Launcher is a text/terminal based frontend for the Snes9x binary used in Linux. It supports many of the command line switches used by Snes9x, and helps to make it as easy to use on Linux as it is on Windows.

Snort IDS library for Python

SnowFlock enables high performance computing on virtual machine (VM)-based cloud environments. In SnowFlock, a VM transparently becomes a cluster of VMs by cloning in sub-second time into multiple copies executing on different physical hosts.

Socket Guardian is an application for watching the network services of some servers and see the global state of the different systems.

sps (Socket ProcesS) is a Python script which shows which processes are using which TCP port numbers, or which process is using a particular TCP port. It runs on Linux 2.2 and 2.4.

General software and open source projects

Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)

Our goal is to create an actively supported and maintained set of tools and mirrors for Solaris, allowing automated \"get & install\" of up-to-date free software.

This is the fifth or sixth generation of this idea, the big difference being that we have written some bootloader code and have started mapping out the kernel layout and structure. We have decided upon a core programming language for the kernel, and the core language for almost everything else. With a focus on isolating the MAJOR kernel features from the system itself, in what until now has remained research only instances, we hope to create a fully functioning exokerne. All code at this time will be available only via a git repository.

Solarwall is a web based toolset for manipulating Linux iptables. The goal is to provide modular framework for expansion.

Utility to automate the download of virus definition updates (IDE files) for Sophos Anti-Virus for Windows

The Source Ruckus Packager (SRP) is the source based package management system used by Source Ruckus Linux. It aims to simplify the automation of installing, uninstalling, verifying, and upgrading source based software packages.

Sparkles is a dynamic tarpit, adapted from LaBrea, that profiles active hosts on a network and then emulates those profiles across the network.

Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting molecular properties, generating new graphs with GANs, clustering nodes, predicting links, and any other task where data is described by graphs. Spektral implements some of the most popular layers for graph deep learning. Spektral also includes lots of utilities for representing, manipulating, and transforming graphs in your graph deep learning projects. Spektral is compatible with Python 3.6 and above, and is tested on the latest versions of Ubuntu, MacOS, and Windows. Other Linux distros should work as well. The 1.0 release of Spektral is an important milestone for the library and brings many new features and improvements.