Saravanan666/pypi-org huggingface dataset:
Package: netsu
Get sources:gitclonehttps://github.com/netsu-project/netsucdnetsuRun checks and unit tests:pip3installtoxpython3-mtoxInstall latest master release via pip:# install uwsgi and uwsgi-plugin-python3 via your favourite package managerpip3installnetsuInstall from sources:# install uwsgi and uwsgi-plugin-python3 via your favourite package managerpython3setup.pysdistcddistpip3installnetsu*Some usage examples:# start servicesystemctlstartnetsud# query for running confignetsu-ctlgetrunning-config# query for system confignetsu-ctlgetsystem-config# query for system statenetsu-ctlgetsystem-state# set empty running confignetsu-ctlsetrunning-config'{}'# configure nic-bond-vlan-bridge and rollback if lost connectivity
# (requires netsu-plugin-networkmanager and netsu-plugin-connectivitycheck)netsu-ctlsetrunning-config\'{
  "nm_bridge": {
    "br0": {
      "ipv4": {
        "method": "manual",
        "addresses": [
          {"address": "192.168.10.2", "prefix": 24}
        ],
        "gateway": "192.168.10.1"
      }
    }
  },
  "nm_vlan": {
    "vlan10": {
      "device": "bond1",
      "id": 10,
      "master": {"name": "br0", "type": "bridge"}
    }
  },
  "nm_bond": {
    "bond1": {
      "mode": "balance-rr"
    }
  },
  "nm_ethernet": {
    "ens3": {
      "master": {"name": "bond1", "type": "bond"}
    }
  }
}'\'{"connectivitycheck_ping": {"address": "www.github.com"}}'# save running config into persistentnetsu-ctlsetpersistent-config--copy-from-tablerunning-config
Package: netsuite
netsuiteMake async requests to NetSuite SuiteTalk SOAP, REST Web Services, and Restlets.Detailed documentation available here.InstallationWith default features (REST API + Restlet support):pip install netsuiteWith Web Services SOAP API support:pip install netsuite[soap_api]With CLI support:pip install netsuite[cli]Withorjsonpackage (faster JSON handling):pip install netsuite[orjson]With all features:pip install netsuite[all]DocumentationIs found here:https://jacobsvante.github.io/netsuite/
Package: netsuite-db-connector
NetSuite Database ConnectorWarning: This project is undergoing active development and is not yet production-grade. Please mail the author if you want to find out moreConnects NetSuite to a database to transfer information to and fro.InstallationThis project requiresPython 3+.Download this project and use it (copy it in your project, etc).Install it frompip.$ pip install netsuite-db-connectorUsageTo use this connector you'll need connect to a NetSuite account via Token-based Authentication (TBA).First, setup TBA credentials using environment variables.# TBA credentials
export NS_ACCOUNT=xxxx
export NS_CONSUMER_KEY=xxxx
export NS_CONSUMER_SECRET=xxxx
export NS_TOKEN_KEY=xxxx
export NS_TOKEN_SECRET=xxxxHere's example usage.importosimportsqlite3fromnetsuitesdkimportNetSuiteConnectionfromnetsuite_db_connectorimportNetSuiteExtractConnector,NetSuiteLoadConnectordefns_connect():NS_ACCOUNT=os.getenv('NS_ACCOUNT')NS_CONSUMER_KEY=os.getenv('NS_CONSUMER_KEY')NS_CONSUMER_SECRET=os.getenv('NS_CONSUMER_SECRET')NS_TOKEN_KEY=os.getenv('NS_TOKEN_KEY')NS_TOKEN_SECRET=os.getenv('NS_TOKEN_SECRET')nc=NetSuiteConnection(account=NS_ACCOUNT,consumer_key=NS_CONSUMER_KEY,consumer_secret=NS_CONSUMER_SECRET,token_key=NS_TOKEN_KEY,token_secret=NS_TOKEN_SECRET)returnncns=ns_connect()dbconn=sqlite3.connect('/tmp/ns.db',detect_types=sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_COLNAMES)x=NetSuiteExtractConnector(ns=ns,dbconn=dbconn)x.create_tables()x.extract_currencies()x.extract_accounts()x.extract_departments()x.extract_locations()x.extract_vendors()x.extract_classifications()y=NetSuiteLoadConnector(ns=ns,dbconn=dbconn)y.create_tables()# do some transformations and populated vendor bills related load tablesforvendor_bill_external_idiny.get_vendor_bill_external_ids():internal_id=y.load_vendor_bill(vendor_bill_external_id=vendor_bill_external_id)print(f'posted vendor_bill_id{vendor_bill_external_id}for which NS returned{internal_id}')ContributeTo contribute to this project follow the stepsFork and clone the repository.Runpip install -r requirements.txtSetup pylint precommit hookCreate a file.git/hooks/pre-commitCopy and paste the following lines in the file -#!/usr/bin/env bashgit-pylint-commit-hookMake necessary changesRun unit tests to ensure everything is fineUnit TestsTo run unit tests, run pytest in the following manner:python -m pytest test/unitYou should see something like this:...Integration TestsTo run unit tests, you will need to connect to a real NetSuite account. Set the following environment variables before running the integration tests:# TBA credentials
export NS_ACCOUNT=xxxx
export NS_CONSUMER_KEY=xxxx
export NS_CONSUMER_SECRET=xxxx
export NS_TOKEN_KEY=xxxx
export NS_TOKEN_SECRET=xxxxCode coverageTo get code coverage report, run this command:python-mpytest--cov=netsuite_db_connector<snippedoutput>To get an html report, run this command:python-mpytest--cov=netsuite_db_connector--cov-reporthtml:cov_htmlWe want to maintain code coverage of more than 95% for this project at all times.LicenseThis project is licensed under the MIT License - see theLICENSEfile for details
Package: netsyslog3
# netsyslog3netsyslog3enables you to construct syslog messages and send them (via
UDP) to a remote syslog server directly from Python. Unlike other
syslog modules it allows you to set the metadata (e.g. time, host
name, program name, etc.) yourself, giving you full control over the
contents of the UDP packets that it creates.netsyslog3was initially developed for the Hack Saw project, where it
was used to read log messages from a file and inject them into a
network of syslog servers, whilst maintaining the times and hostnames
recorded in the original messages.The module also allows you to send log messages that contain the
current time, local hostname and calling program name (i.e. the
typical requirement of a logging package) to one or more syslog
servers.The format of the UDP packets sent by netsyslog3 adheres closely to
that defined in [RFC 3164](http://tools.ietf.org/html/rfc3164).## Installationpip install netsyslog3## Usage$ python3
>>> import netsyslog3
>>> import syslog
>>> logger = netsyslog3.Logger()
>>> logger.add_host(“somehost.mydomain.com”)
>>> logger.add_host(“otherhost.mydomain.com”)
>>> logger.log(syslog.LOG_USER, syslog.LOG_NOTICE, “Hey, it works!”, pid=True)The [API docs](http://hacksaw.sourceforge.net/netsyslog/doc/) are also available over on the (old) SourceForge site.
Package: nettacker
OWASP NettackerDISCLAIMERTHIS SOFTWARE WAS CREATED FOR AUTOMATED PENETRATION TESTING AND INFORMATION GATHERING. CONTRIBUTORS WILL NOT BE RESPONSIBLE FOR ANY ILLEGAL USAGE.OWASP Nettacker project is created to automate information gathering, vulnerability scanning and eventually generating a report for networks, including services, bugs, vulnerabilities, misconfigurations, and other information. This softwarewillutilize TCP SYN, ACK, ICMP, and many other protocols in order to detect and bypass Firewall/IDS/IPS devices. By leveraging a unique method in OWASP Nettacker for discovering protected services and devices such as SCADA. It would make a competitive edge compared to other scanner making it one of the bests.OWASP Page:https://owasp.org/www-project-nettacker/Wiki:https://github.com/OWASP/Nettacker/wikiInstallation:https://github.com/OWASP/Nettacker/wiki/InstallationUsage:https://github.com/OWASP/Nettacker/wiki/UsageGitHub:https://github.com/OWASP/NettackerSlack: #project-nettacker onhttps://owasp.slack.comMailing List:https://groups.google.com/forum/#!forum/owasp-nettackerDocker Image:https://hub.docker.com/r/owasp/nettackerHow to use the Dockerfile:https://github.com/OWASP/Nettacker/wiki/Installation#dockerOpenHub:https://www.openhub.net/p/OWASP-NettackerDonate:https://owasp.org/donate/?reponame=www-project-nettacker&title=OWASP+NettackerQuick Setup & Run$docker-composeup-d&&dockerexec-itnettacker_nettacker_1/bin/bash# python nettacker.py -i owasp.org -s -m port_scanResults are accessible from your (https://localhost:5000) orhttps://nettacker-api.z3r0d4y.com:5000/(pointed to your localhost)The local database is.data/nettacker.db(sqlite).Default results path is.data/resultsdocker-composewill share your nettacker folder, so you will not lose any data afterdocker-compose downTo see the API key in you can rundocker logs nettacker_nettacker_1.More details and setup without dockerhttps://github.com/OWASP/Nettacker/wiki/InstallationThanks to our awesome contributorsIoT ScannerPython Multi Thread & Multi Process Network Information Gathering Vulnerability ScannerService and Device Detection ( SCADA, Restricted Areas, Routers, HTTP Servers, Logins and Authentications, None-Indexed HTTP, Paradox System, Cameras, Firewalls, UTM, WebMails, VPN, RDP, SSH, FTP, TELNET Services, Proxy Servers and Many Devices like Juniper, Cisco, Switches and many more… )Asset Discovery & Network Service AnalysisServices Brute Force TestingServices Vulnerability TestingHTTP/HTTPS Crawling, Fuzzing, Information Gathering and …HTML, JSON, CSV and Text OutputsAPI & WebUIThis project is at the moment in research and development phaseThanks to Google Summer of Code Initiative and all the students who contributed to this project during their summer breaks:Stargazers over time
Package: nettigo-air-monitor
nettigo-air-monitorPython wrapper for getting air quality data from Nettigo Air Monitor devices.How to use package"""An example of using Nettigo Air Monitor package."""importasyncioimportloggingfromaiohttpimportClientConnectorError,ClientError,ClientSessionfromnettigo_air_monitorimport(ApiError,AuthFailedError,ConnectionOptions,InvalidSensorDataError,NettigoAirMonitor,)logging.basicConfig(level=logging.DEBUG)HOST="nam"USERNAME="user"PASSWORD="password"asyncdefmain():"""Run main function."""options=ConnectionOptions(host=HOST,username=USERNAME,password=PASSWORD)asyncwithClientSession()aswebsession:nam=awaitNettigoAirMonitor.create(websession,options)try:data=awaitnam.async_update()mac=awaitnam.async_get_mac_address()except(ApiError,AuthFailedError,ClientConnectorError,ClientError,InvalidSensorDataError,asyncio.TimeoutError,)aserror:print(f"Error:{error}")else:print(f"Auth enabled:{nam.auth_enabled}")print(f"Firmware:{nam.software_version}")print(f"MAC address:{mac}")print(f"Data:{data}")loop=asyncio.new_event_loop()loop.run_until_complete(main())loop.close()
Package: nettime-py
netTime API Client - *Development PhasePython API client for netTime (SPEC, SA).Repository:https://github.com/lucaslucyk/nettime-pyPyPi:https://pypi.org/project/nettime-pyDocumentation: Coming soon.Project Status:warning:Warning: This project is currently in development phase.This project is in an early stage of development and may contain bugs. It is not recommended for use in production environments.Why usenettime-py?🚀Fast to code: Increase the speed to develop integrations features.❌Fewer bugs: Reduce human (developer) induced errors.💡Intuitive: Great editor support. Completion everywhere. Less time debugging.🤓Easy: Designed to be easy to use and learn. Less time reading docs.〽️Short: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.Install$pipinstallnettime-pyInstall to dev$gitclonegit@github.com:lucaslucyk/nettime-py.git
$cdnettime-py/
/nettime-py$mkdir.venv
/nettime-py$pipenvinstall&&pipenvinstall-d
/nettime-py$source.venv/bin/activate(nettime-py)./nettime-py/$pipinstall-e.Quickstartfromnettime_pyimportNetTimeAPI# Initialize the client with the URL, username, and passwordwithNetTimeAPI(url='<HOST>',username='<USERNAME>',password='<PASSWORD>')asclient:# Get and iter paginatoremployees=list(client.employees.all())print(employees)Contributions and FeedbackI would love to receive contributions and feedback! If you'd like to get involved, please contact me through one of the contact methods in myProfile.LicenseThis project is licensed under the terms of the GNU GPLv3 license.
Package: nettlesome
NettlesomeSimplified semantic reasoning in PythonNettlesome is a Python
library defining a limited grammar of natural-language statements
that can be compared programmatically for implication or contradiction.Nettlesome is intended for use where there is a limited schema of statements
that can be used to annotate a dataset with categories, numbers, quantities,
and dates. One example of such a schema is
theNational Information Exchange Model.Although Nettlesome was designed to be used for legal annotations in
theAuthoritySpokelibrary,
Nettlesome itself doesn't depend on any legal concepts or specialized knowledge.FindNettlesome's documentationand anintroductory guide with exampleson ReadTheDocs.
Package: netto
nettoGerman income tax (Einkommensteuer) and social security (Sozialabgaben) calculator.Currently tested against the following assumptions:Public health and pension insuranceWest-German pension deductionOptional: Church taxOptional: MarriedSupported tax years: 2018-2024TODO listCalculate support for children (Kindergeld/Kinderfreibetrag)Implement correct pension deductible for East GermanySourcesGerman tax curveWage tax (Lohnsteuer)Social security deductable (Vorsorgepauschale)Social security ratesTaxable income calculatorSolidarity tax (Solidaritätszuschlag)CreditsMartin Klein, 2023
Package: nettowel
NetTowelCollection of useful network automation functions⚠️nettowelis under heavy construction and not production ready. Feedback is highly appreciated.InstallYou can install it directly from pypipipinstallnettowelTo reduce the dependencies the extra dependencies are groupedThe following groups are available (more details in the pyproject.toml):fulljinjattptextfsmnapalmnetmikoscraplinornirpandastuipipinstallnettowel[jinja]pipinstallnettowel[full]Install from sourcegit clone ....
cd nettowel
poetry install
poetry run nettowel --helpHelp and shell auto-completionThanks to the librarytyper,nettowelcomes with a nice help and autocompletion installFeaturesMany features are not implemented yet and many features will come.Jinja2rendervalidatevariablesTTPrenderNetmikocliautodetectdevice-typesRESTCONFgetpatch, deletepost, putipaddressip-infonetwork-infoYAMLloaddumpHelpSettingsAdotenvfile can be used as a settings file. The file can also be provided with the option--dotenv.PipingTUIUsingTrogona TUI (Terminal User Interface) can be generated to edit and run the NetTowel command.
Package: net-tracer
Net TracerNet Tracer is a Python tool for Network Security. Currently, it can:scan.py: Scan a target IP address or hostname for open ports and generates a CSV report of the scan results.RequirementsPython 3.7+concurrent.futures (https://docs.python.org/3/library/concurrent.futures.html)dnspython (https://github.com/rthalley/dnspython)json (https://docs.python.org/3/library/json.html)nmap (https://xael.org/pages/python-nmap-en.html)pyfiglet (https://pypi.org/project/pyfiglet/)InstallationYou can installnet-tracerusing pip. First, make sure you have Python 3.6 or later installed on your system. Then, open a terminal or command prompt and enter the following command:pip install net-tracerThis will download and install the latest version ofnet-tracerand all its dependencies.Alternatively, you can clone the GitHub repository and installnet-tracermanually. First, navigate to the directory where you want to clone the repository, then enter the following commands:gitclonehttps://github.com/Morbid1134/Net-Tracer.gitcdnet-tracer
pipinstall-rrequirements.txt
pipinstall.This will clone the repository, install the required dependencies, and installnet-tracerlocally on your system.Oncenet-traceris installed, you can import it into your Python scripts using the following statement:importnet_tracerThat's it! You're ready to usenet-tracerin your Python projects.UsageYou can simply call the imported functions from within your Python script.importnet_tracernet_tracer.tracer(target=None,ports=None,socket_threads=10000,nmap_threads=8,output=None,printing=False)Function Parameterstracer(target, ports, socket_threads, nmap_threads, output, printing)target: The IP address or hostname of the target you want to scan. If no value is provided, the user will be prompted to enter a target at runtime.ports: A list or range of ports to scan. If no value is provided, all 65,535 ports will be scanned.socket_threads: The number of threads to use for socket scanning. Default is set to 10,000.nmap_threads: The number of threads to use for Nmap scanning. Default is set to 8.output: The name of the output file to write the results to. If no value is provided, the output array will not be written to a file. Output will always be returned and can be set to variable no matter if saving to a file.printing: IfTruethen it will print details as the code is ran. Default is set toFalse.ExamplesA full Python script is provided to show some ways of using this inexamples.pyLicenseThis project is licensed under the MIT License - see theLICENSEfile for details.
Package: netts
netts - NETworks of Transcript SemanticsToolbox for constructing semantic speech networks from speech transcripts.AboutThe algorithms in this toolbox create a semantic speech graph from transcribed speech. Speech transcripts are short paragraphs of largely raw, uncleaned speech-like text. For example:'I see a man and he is wearing a jacket. He is standing in the dark against a light post. On the picture there seems to be like a park and... Or trees but in those trees there are little balls of light reflections as well. I cannot see the... Anything else because it’s very dark. But the man on the picture seems to wear a hat and he seems to have a hoodie on as well. The picture is very mysterious, which I like about it, but for me I would like to understand more about the picture.'
--Example TranscriptBelow is the semantic speech graph constructed from this text.Figure 1. Semantic Speech Graph. Nodes represents an entity mentioned by the speaker (e.g. I, man, jacket). Edges represent relations between nodes mentioned by the speaker (e.g. see, has on).Getting startedRead the full documentationhere.Where to get itYou can install the latest release fromPyPipipinstallnettsor get the latest development version from GitHub (not stable)pipinstallgit+https://github.com/alan-turing-institute/nettsAdditional dependenciesNetts requires the Java Runtime Environment. Instructions for downloading and installing for your operating system can be foundhere.Netts also requires a few additional dependencies to work which you can download with the netts CLI that was installed by pipnettsinstallBasic usageThe quickest way to process a transcript is with the CLI.nettsruntranscript.txtoutputswheretranscript.txtis a text file containing transcribed speech andoutputsis the name of a directory to write the outputs to. Additional logging information can be found innetts_log.log.ContributorsNetts was written byCaroline Nettekovenin collaboration withSarah Morgan.Netts was packaged in collaboration withOscar Giles,Iain StensonandHelen Duncan.
Package: netty
nettyA simple python library for networking. Not extremely complex, but allows for simple game servers and chat rooms to be hosted.DocumentationThis example will show you how to make a simple chat room withnetty.First, import netty:importnettyThen, choose a port and make a client and a server:importnettyPORT=3000client=netty.connection.Client('',PORT)# args: IP ('' for local), and port.server=netty.connection.Server(PORT)# args: port to run the server on.Now, we have a client and a server, but they aren't doing anything when they get a message. To do this, we need to add aonReceiveargument to the client and server.MORE DOCUMENTATION COMING SOON
Package: netty-finder
# NettyFinder :rocket:This is a python verison of the original netty-finder that was written in JavaScript# Installation## GitHub```bash$ git clone https://github.com/CITGuru/netty-finder-python.git$ cd netty-finder-python$ python setup.py install```## PyPI```bash$ pip install netty_finder```# Usage```pythonfrom netty_finder import Networkdetector = Network("08182315466")network_name = detector.get_network_name()print(network_name)# >>> 9mobile```# About AuthorThis was originally built by Bolaji Ayodeji so all rights goes to him, I only interpreted the javascript code to python# ContributionFor now, I dont accept contributions except its from the javascript netty_finder, so I suggest you contribute there. Any changes from there will be added to the python version
Package: net-uml-draw
net-uml-drawWrite PlantUML from a Google Sheets spreadsheet for a simple home network diagramSpreadsheet ExampleSample sheet is available in Sheets:NetworkDisplay Name and PortRoomDevicePortMACConnectDisplay Name=CONCATENATE(if(ISBLANK(G2),C2,G2), " Port: ", D2)Room 1Switch 1Port1=A4=CONCATENATE(if(ISBLANK(G3),C3,G3), " Port: ", D3)Room 1Switch 1Port2=A5=CONCATENATE(if(ISBLANK(G4),C4,G4), " Port: ", D4)Room 1Device 1LAN=A2=CONCATENATE(if(ISBLANK(G5),C5,G5), " Port: ", D5)Room 1Device 2LAN=A3=CONCATENATE(if(ISBLANK(G6),C6,G6), " Port: ", D6)Room 2Switch 2Port1=A8=CONCATENATE(if(ISBLANK(G7),C7,G7), " Port: ", D7)Room 2Switch 2Port2=CONCATENATE(if(ISBLANK(G8),C8,G8), " Port: ", D8)Room 2Device 3LAN=A6Sample PlantUML@startuml
frame "Room 1" as 1 {
    frame "Switch 1" as 2 {
        queue "Port1" as 3
        queue "Port2" as 4
    }
    frame "Device 1" as 5 {
        queue "LAN" as 6
    }
    frame "Device 2" as 7 {
        queue "LAN" as 8
    }
}
frame "Room 2" as 9 {
    frame "Switch 2" as 10 {
        queue "Port1" as 11
        queue "Port2" as 12
    }
    frame "Device 3" as 13 {
        queue "LAN" as 14
    }
}
3 -- 6
4 -- 8
11 -- 14
@endumlRunning PlantUMLjava -DPLANTUML_LIMIT_SIZE=8192 -jar plantuml.1.2020.7.jar ./home_network.pumlSample Diagram
Package: netunicorn-connector-aci
Azure Container Instances connector for netunicornThis is a connector for Microsoft Azure Container Instances for netunicorn.Installationpipinstallnetunicorn-connector-aciUsageCreate a configuration file and provide needed parameters (seeexample).
Then, add information about this connector to the main configuration file of netunicorn-director-infrastructure.All of these parameters are required and to be provided by Azure cloud user.P.S.: Most likely you also want to submit a help ticket to Azure cloud to increase your containers quota
for your region as the default one is pretty low.
Package: netunicorn-connector-aws
netunicorn-connector-awsThis is an AWS Fargate connector for netunicorn.How to useThis connector is supposed to be installed as a part of netunicorn-director-infrastructure package or container.Install the package:pipinstallnetunicorn-connector-awsThen, add the connector to the netunicorn-director-infrastructure configuration:aws-fargate:# unique nameenabled:truemodule:"netunicorn.director.infrastructure.connectors.aws"# where to import fromclass:"AWSFargate"# class nameconfig:"configuration-example.yaml"# path to configuration fileModify the configuration file to provide needed parameters (seeexample), such as
AWS credentials, region, etc.AWS configurationYou need to create an ECS cluster with Fargate as a provider type, e.g., according to this guide:https://docs.aws.amazon.com/AmazonECS/latest/userguide/create-cluster-console-v2.htmlIn the configuration file, please provide valid credentials, the correct region, and the cluster name.
Package: netunicorn-connector-docker
netunicorn-connector-dockerThis is a netunicorn connector for a local Docker infrastructure.This connector works only with the local Docker daemon, requires current user to be in the docker group
and always presents a single host with the name "dockerhost".UsageThis connector is supposed to be installed as a part of netunicorn-director-infrastructure package or container.Install the package:pipinstallnetunicorn-connector-dockerEnsure that the user (netunicorn-director-infrastructure process owner) is in the docker group (or root).Then, add the connector to the netunicorn-director-infrastructure configuration:local-docker:# unique nameenabled:truemodule:"netunicorn.director.infrastructure.connectors.docker_connector"# where to import fromclass:"DockerConnector"# class nameconfig:"configuration-example.yaml"# path to configuration file