Saravanan666/pypi-org huggingface dataset:
Package: domain-migration-sdk
Getting Started with APIMATIC CalculatorIntroductionSimple calculator API hosted on APIMATICInstall the PackageThe package is compatible with Python versions3 >=3.7, <= 3.11.
Install the package from PyPi using the following pip command:pipinstalldomain-migration-sdk==1.2.3You can also view the package at:https://pypi.python.org/pypi/domain-migration-sdk/1.2.3Initialize the API ClientNote:Documentation for the client can be foundhere.The following parameters are configurable for the API Client:ParameterTypeDescriptionenvironmentEnvironmentThe API environment.Default:Environment.PRODUCTIONhttp_client_instanceHttpClientThe Http Client passed from the sdk user for making requestsoverride_http_client_configurationboolThe value which determines to override properties of the passed Http Client from the sdk userhttp_call_backHttpCallBackThe callback value that is invoked before and after an HTTP call is made to an endpointtimeoutfloatThe value to use for connection timeout.Default: 60max_retriesintThe number of times to retry an endpoint call if it fails.Default: 0backoff_factorfloatA backoff factor to apply between attempts after the second try.Default: 2retry_statusesArray of intThe http statuses on which retry is to be done.Default: [408, 413, 429, 500, 502, 503, 504, 521, 522, 524]retry_methodsArray of stringThe http methods on which retry is to be done.Default: ['GET', 'PUT']The API client can be initialized as follows:fromapimaticcalculator.apimaticcalculator_clientimportApimaticcalculatorClientfromapimaticcalculator.configurationimportEnvironmentclient=ApimaticcalculatorClient()List of APIsSimple CalculatorClasses DocumentationUtility ClassesHttpResponseHttpRequest
Package: domain_models
Domain models framework for Python projectsPyPiPython versions and implementationsBuilds and tests coverageIntroductionUse cases:Writing some HTTP API client library, that is based on domain models pattern.Examples:Twitter API client library.Using NoSQL services with manual mapping to domain models.Examples:Redis.Cassandra CQL.Using classic SQLAlchemy mapping.Examples:http://docs.sqlalchemy.org/en/latest/orm/mapping_styles.html#classical-mappings
Package: domain-name-label-indexes
This library helps generate minimal domain name labels in an ordered fashion.
The following rules apply:The label can contain only 0-9, a-z, and hyphen (-)The label cannot begin or end with a hyphenThe label cannot contain two hyphens in a rowThe label must be between 1 and 63 characters longNote:Unicode / Punycode are not considered (I.E., domains starting withxn–will not be generated).Binary labels are not consideredSpecifically, this library defines an ordering to domains such that they may be looked up by index.
Domains are orders such that shorter domains occur earlier and domains of the same length occur in sorted order.
The ordering begins as:0    -> “0”1    -> “1”…10   -> “a”…35   -> “z”36   -> “00”…72   -> “10”…1331 -> “zz”1332 -> “0-0”Free software: MIT licenseFeaturesGiven an index, compute the corresposing domain name.generate_domain_name_label(index: int)For example:generate_domain_name_label(0) => “0”generate_domain_name_label(37) => “01”Given an index, compute the length of the domain name.compute_domain_length(index: int)For example:compute_domain_length(0) => 1compute_domain_length(36) => 2Find the first index that produces a domain of a given length.first_index_with_domain_length(length: int)For example:first_index_with_domain_length(1) => 0first_index_with_domain_length(2) => 36Compute the number of domains that have a given length.count_domains_with_length(length: int)For example:count_domains_with_length(1) => 36count_domains_with_length(2) => 1296Compute the index for a domain name label.index_of_domain_name_label(label: str)For example:index_of_domain_name_label(“google”) => 1191294986index_of_domain_name_label(“yahoo”)  =>   64297428CreditsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.
Package: domain-network
Domain NetworkA package to create a domain network of the URLs mentioned in a dataset of texts.
In the current version it works for tweets. It may process any kind of text in the future versions.InstallationThe easiest way to install the domain_network package is to use the following command in a terminal:pipinstalldomain-networkUsageTo run the module using Command Line Interface (CLI) run the following:For the whole process starting with raw tweets:python-mdomainNetwork--input_dir["data/twitterAPI_lang_en/*/*.json"]--conf_dir[‘config/sample_config.ini’]--min_edge_weight[20]--min_node_size[20]\--min_stand_alone_size[50]--urls_file_name["output/urls.csv"]\--network_output_file_name["output/network.csv"]--netloc_output_file_name["output/netloc.csv"]\--netloc_origin_output_file_name["output/netloc_origin.csv"]For making domain network of a pre-processed file which includes extracted netlocs:python-mdomainNetwork--conf_dir[‘config/sample_config.ini’]--min_edge_weight[20]--min_node_size[20]\--min_stand_alone_size[50]--network_onlytrue--urls_file_name["data/urls.csv"]\--network_output_file_name["output/network.csv"]--netloc_output_file_name["output/netloc.csv"]\--netloc_origin_output_file_name["output/netloc_origin.csv"]Parameters:--input_dir : Directory of tweet files--conf_dir : File path of the config file. Read Config file section for more details.--min_edge_weight : Min number of users that mentioned both source and target of the edge in their tweets.--min_node_size : Min number of times that a web page is mentioned in total, for connected nodes.--min_stand_alone_size: Min number of times that a web page is mentioned in total, for stand-alone nodes.--network_only : If you want to use a preprocessed file which includes the netlocs--urls_file_name : File path of preprocessed tweets with netlocs. Can be output/input file in the above mentioned situations.--network_output_file_name: File path of the generated network, in .csv format.--netloc_output_file_name : File path of the list of web sites, after filtering, in .csv format.--netloc_origin_output_file_name : File path of the original list of web sites, in .csv format.--selected_users_fp : Specifies the target group of users, i.e. active users that we are interested in their domain networkOutputThe main output of this package is network.csv which includes source, target and the weight.
Output file can be given to a visualization tool, e.g. networkx in python for the visualization
Package: domain_parser
Python domain-parserParse domains using the TLD list maintained by publicsuffix.org.Domains are parsed into their TLD, SLD, and subdomains. TLDs like
‘co.uk’ are handled properly. The list of possible TLDs is generated
from publicsuffix.org. The first time the library is run, an HTTP
request is made and a.tld.picklefile is created. Subsequent runs
don’t make an HTTP request. Rather, they load the pickle file. If you
want to refresh the list, simply delete the pickle file.TODOThere are tests, but not enough. I’m hoping that if people find this
useful they’ll contribute test cases to the projects.New in version 0.0.4Usepylruand TLD_CACHE to speed up parsing in long-running
programs
Package: domainprops
DomainpropsPython package for parsing domain name propertiesInstallpython-mpipinstalldomainpropsUsagefromdomainpropsimportdomainpropsdomainprops.tld("foo.com")# "com"domainprops.sld("foo.com")# "foo"domainprops.is_alpha("foo.com")# Truedomainprops.is_numeric("foo.com")# FalseAPIFunctionReturnsDescriptionExampleResulttldstringTop level domaintld("foo.com")"com"sldstringSub level domainsld("foo.bar.com")"foo.bar"bldstringBottom level domainbld("foo.bar.com")"foo"lengthintLenght of domainlength("foo.com")3idnstringIDN version of domainidn("f⊕⊕.com")"xn--f-vioa.com"patternstringChar patternpattern("foo-123.com")"lll-nnn"domainslistDomain parts of domaindomains("foo.bar.com")["foo", "bar", "com"]has_alphaboolHas alpha charactershas_alpha("foo.com")Truehas_numbersboolHas numbershas_numbers("foo.com")Falsehas_hyphensboolHas hyphenshas_hyphens("foo.com")Falseis_alphaboolIs strictly alpha charactersis_alpha("foo.com")Trueis_numericboolIs strictly numbersis_numeric("foo.com")Falseis_alphanumericboolIs strictly alpha characters and/or numbersis_alphanumeric("foo.com")Trueis_subdomainboolIs sub domainis_subdomain("foo.com")False
Package: domain-reputation
OverviewThe client library forDomain Reputation APIin Python language.The minimum Python version is 3.6.Installationpipinstalldomain-reputationExamplesFull API documentation availablehereCreate a new clientfromdomainreputationimport*client=Client('Your API key')Make basic requests# Get DNS records for a domain name.response=client.get('youtube.com')print(response)# Get raw API response in XML formatraw_result=client.get_raw('bbc.com',output_format=Client.XML_FORMAT)Advanced usageExtra request parametersresult=client.get('samsung.com',Client.MODE_FULL)Response model overviewResponse:-mode:str-reputation_score:float-test_results:[TestResult]-test:str-test_code:int-warnings:[str]-warning_codes:[int]Sample response{'mode':'full','reputation_score':81.16,'test_results':[{"test":"Name servers configuration meets best practices","testCode":76,"warnings":["Some name servers are located on a single ASN:\ns44.domaincontrol.com - AS44273, ns43.domaincontrol.com - AS44273"],"warningCodes":[1013]},{"test":"Mail servers configuration check","testCode":80,"warnings":["AAAA records not configured for mail servers","SPF record not configured","DMARC is not configured"],"warningCodes":[5007,5015,5016]},{"test":"Malware databases check","testCode":82,"warnings":["Status: dangerous"],"warningCodes":[4001]},{"test":"SSL Certificate configuration","testCode":89,"warnings":["No SSL certificates found"],"warningCodes":[6023]}]}Changelog1.0.0 (2021-10-25)First release
Package: domainrules
Describe rules for domainUsage example:importjsonfromdomainrulesimportDomain,Rulefromdomainrules.fabricimportNewRule#1. Set rules decoratorsdomain=Domain("")# default bal - 0base_rule=Rule(domain).set_rules(bal=0)system_domain_rules:list[dict]forruleinsystem_domain_rules:rule_dict=json.loads(rule)base_rule=NewRule.build(base_rule,rule_dict)#2. applysystem_domain_rules.name="somedomain.com"ifsystem_domain_rules.weight>50:print("Warning!")
Package: domainsearch
domainsearchSearch for available domains using wildcards.Installgit clone https://github.com/jeremija/domainsearch
cd domainsearch
python3 -m domainsearchorpip3 install domainsearchUsageusage:domainsearch[-h][--hostHOST][--portPORT][-n][-o][--verbose]domains[domains...]Searchforunregistereddomains.Wildcardssupportedare:A:alphabetcharactersC:consonantsV:vowels#: numbers 0-9*:combinationofalloftheabove[chars]:charsinthebrackets(word1,word2,word3):customlistofwords

positionalarguments:domainsDomain(s)tolookup.ForexampleredCV.com

optionalarguments:-h,--helpshowthishelpmessageandexit--hostHOSToftheWhoislookupserver--portPORTPortoftheWhoislookupserver-n,--dry-runOnlyprintthepermutations-o,--onlyPrintonlyavailable--verboseShowwhoisresultsLicenseMIT
Package: domain-shared-contacts-client
===============================Google Domain Shared Contacts Client===============================.. image:: https://img.shields.io/pypi/v/domain_shared_contacts_client.svg:target: https://pypi.python.org/pypi/domain_shared_contacts_client.. image:: https://img.shields.io/travis/rjoyal/domain_shared_contacts_client.svg:target: https://travis-ci.org/rjoyal/domain_shared_contacts_client.. image:: https://readthedocs.org/projects/domain-shared-contacts-client/badge/?version=latest:target: https://domain-shared-contacts-client.readthedocs.io/en/latest/?badge=latest:alt: Documentation Status.. image:: https://pyup.io/repos/github/rjoyal/domain_shared_contacts_client/shield.svg:target: https://pyup.io/repos/github/rjoyal/domain_shared_contacts_client/:alt: UpdatesA Python client to CRUD Google Domain Shared Contacts- Free software: MIT license- Documentation: https://domain-shared-contacts-client.readthedocs.io.Features--------- Command-line client and Python library::$ pip install domain_shared_contacts_client$ domain_shared_contacts_client --helpUsage: domain_shared_contacts_client [OPTIONS] DOMAIN ADMIN CREDENTIALSCOMMAND [ARGS]...Command line utility to interact with the Shared Contacts API.Options:--help  Show this message and exit.Commands:create  a single contactdelete  a single contactlist    all contactsread    a single contactupdate  a single contact- List, create, read, update and delete basic information for Google Domain Shared Contacts- name- given_name- family_name- full_name- organization- name- department- title- job_description- symbol- email (list)- address- primary- phone_number (list)- text- primary- structured_postal_address (list)- street- city- region- postcode- country- primaryLimitations-----------* Python 2.7 only* Updates a limited set of the ContactEntry attributes* Email address, phone number and postal address types are hard-coded to gdata.data.WORK_RELCredits---------This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template... _Cookiecutter: https://github.com/audreyr/cookiecutter.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage=======History=======0.1.0 (2017-01-24)------------------* First release on PyPI.
Package: domaintypesystem
This is ahighly experimentalproject in a pre-alpha state.  Use at your own risk.Domain Type SystemTheDomain Type System(DTS) is the first draft and implementation of the concept of a flexible
"decentralized type system."GoalThe goal of the project is to allow data structures to be shared across the network by their type instead
of server endpoints.  DTS receives a data structure and sends it to any interested parties subscribed to the data
structure's type.It's currently used by and developed for a tiny sake brewing operation.  It has been created solely for this purpose but
will hopefully be extended over time.The development of this project has enabled us to plug in new hardware sensors and data logging devices without the need
to reconfigure multiple projects across a variety of hardware.LimitationsCurrently the project only works over local multicast (with a different multicast group per type).  The plan is to
support pluggable transport implementations over other networks: TCP, HTTP, Web Sockets, and potentially other message
passing implementations such as MQTT, ZeroMQ, nanomsg, Amazon SQS, etc.It's also tied to thecapnprotodata interchage format, though there's nothing keeping it from being data interchange
agnostic in the future.  There's no reason it can't support the likes ofJSON,CBOR,Ion,MessagePack,Protocol Buffers,XML,Python Pickles, or even raw bytes, for example.Only small data structures can be sent right now (anything that fits into a typical <1500 byte packet, minus DTS
overhead). This is only because large amounts of data weren't needed for our purposes during development, but this will
change in the future.Running in DockerAs this project currently requires multicast, you either need to route multicast traffic to the appropriate docker
interface or run the docker container with--net=host.The following command enables routing of the multicast CIDR block DTS will use to the default docker interface:# ip route add 239.255.0.0/16 dev docker0Without additional setup, this will affect the container's routing to other networks (including the internet).  If this
is problematic, check outpipeworkfor many well-tested use-cases.pimd, a multicast router, may also be of interest.
Package: domain-utils
domain_utilsA collection of util functions for extracting domains from urls.Repo:https://github.com/mozilla/domain_utilsInstall:pip install domain_utilsUse:import domain_utils as du
# Return just the url `my.domain.cloudfront.net/a/path/to/a/file.html`
du.stem_url('https://my.domain.cloudfront.net/a/path/to/a/file.html?a=1')
# Return just the eTLD+1 `domain.cloudfront.net`
du.get_etld1('https://my.domain.cloudfront.net/a/path/to/a/file.html?a=1')
# Get the port `5000`
du.get_port('https://localhost:5000/a/path/to/a/file.html?a=1')
# Get the scheme `wss`
du.get_port('wss://somedomain.example.com/a/path/to/a/ws')This package was originally extracted fromopenwpm-utils.Free software: Mozilla Public License licenseDocumentation:https://domain-utils.readthedocs.io.Community Participation GuidelinesThis project is governed by Mozilla’s code of conduct and etiquette guidelines.For more details, please read theMozilla Community Participation Guidelines.For more information on how to report violations of the Community Participation Guidelines, please read ourHow to Reportpage.History0.7.1 (2020-04-10)Fix building on readthedocs.0.7.0 (2020-04-10)Thanks to new contributor @yabirgb for two PRs (#20 and #25) in this release.API changes: #26 renamedget_stripped_urltostem_url, andget_ps_plus_1toget_etld1. Old method names will continue to work though. #22 updated
keyword arguments toget_stripped_url- default behavior is basically the same.API changes (#26 and #22)Support parsing ws/wss urls (#22)Add get_port method (#25)Add get_scheme method (#20)Correct license declaration in setup.py (#24)0.6.0 (2020-04-06)Use tldextract for parsing domains (#12)Use numpy style docstringsSupport case of no scheme and port in URL (#13)0.5.0 (2020-04-03)Remove support for python 3.5Handle more cases in get_stripped_url and change default behavior:handle a lack of schemeboolean flag to return or not non http urls - default is to
return them which is a change of behavior as previously they
would not returnUse netloc by default instead of hostname with a boolean flag
to use hostname.0.4.0 (2020-03-25)Remove py27 support0.3.0 (2020-03-25)Restore py27 support.Last version with py27 support.Remove tox0.2.0 (2020-03-24)Extracted fromhttps://github.com/mozilla/openwpm-utils/blob/master/openwpm_utils/domain.pyRemoved python 2 support and dependenciesRemoved broken get_stripped_urls functionFirst release on PyPI.
Package: dom-available
Is 'domain.x' Available?IN WHOIS WE TRUSTMy cheap way of checking whether a domain is available to be purchased or not (powered bywhois).DisclaimerThis packagemight notbe able to check the available foreverypossible domain TLD, sincewhoisdoes not work with some TLDs. In the future, I might include options to call different APIs (Gandi API, Domainr, etc.).Examplepackagemainfromavailable.checkerimportsafe_domaindomain:="dreamdomain.io"available,isBadTld=safe_domain(domain)ifavailable:print("[+] Success!")The above example gives whether a domain is valid or not. Otherwise you could also simple check for domain availabilitypackagemainfromavailable.checkerimportdomaindomain:="dreamdomain.io"available=domain(domain)ifavailable:print("[+] Success!")
Package: domba
# DOMBA KNOT AGENT## INSTALLINGFor production test install domba in pypi` pip install domba `to developer install` pip install-e. `Setting Knot Environment` domba envi knot `Before using sheep as a RESTKnot agent you are required to install kafka
[Get Kafka And Install](https://kafka.apache.org/)Setting Your Broker` domba envi broker `## HELP
Next documentation for domba run` domba--help`for each command` domba COMMAND--help`
Package: domcheck
This Python library implements different strategies to validate the ownership of a domain name.Available strategiesAll strategies takes 3 arguments: the domain to check, a static DNS safeprefixlike “yourservice-domain-verification” and a randomly generatedcode.DNS TXT record: checks for the{prefix}-{code}string present in one of theTXTrecords on the domain name.DNS CNAME record: checks for the existence ofCNAME` record composed on the static``{prefix}-{code}on the domain pointing to domain (usually yours) which the host is {prefix} (i.e.: {prefix}.yourdomain.com). NOTE: you may want to make sure that {prefix}.yourdomain.com resolves to something as some zone editors may check that.Meta Tag: checks for the presence of a<metaname="{prefix}"content="{code}">tag in the<head>part of the domain’s home page using either HTTP or HTTPs protocols.HTML File: checks for the presence of a file named{code}.htmlat the root of the domain’s website containing the string{prefix}={code}using either HTTP or HTTPs protocols.Usage ExampleSimple usage will check the domain with all available strategies and returnTrueif the validation passed:importdomcheckdomain="example.com"prefix="myservice-domain-verification"code="myserviceK2d8a0xdhh"ifdomcheck.check(domain,prefix,code):print"This domain is verified"You may filter strategies by passing a coma separated list of strategies:domcheck.check(domain,prefix,code,strategies="dns_txt,meta_tag")InstallationTo install domcheck, simply:$ pip install domcheckLicensesAll source code is licensed under theMIT License.
Package: domdf-python-tools
Helpful functions for Python 🐍 🛠️DocsTestsPyPIAnacondaActivityQAOtherNote:Before version 3domdf_python_toolswas licensed under the LGPLv3+.
Version 3 and later are licensed under the MIT License.domdf_python_toolscan be installed from PyPI or Anaconda.To install withpip:$python-mpipinstalldomdf_python_toolsTo install withconda:First add the required channels$condaconfig--addchannelshttps://conda.anaconda.org/conda-forge$condaconfig--addchannelshttps://conda.anaconda.org/domdfcodingThen install$condainstalldomdf_python_tools
Package: domdf-sphinx-theme
Customised ‘sphinx_rtd_theme’ used by my Python projects.Based onsphinx_rtd_themeby ReadTheDocs.DocsTestsPyPIActivityQAOtherChanges include:Wider body by default.Extra spacing in lists.Some JavaScript trickery to fix the ReadTheDocs versions menu.Installationdomdf_sphinx_themecan be installed from PyPI.To install withpip:$python-mpipinstalldomdf_sphinx_theme
Package: domdf-spreadsheet-tools
Tools for creating and formatting spreadsheets with Python and OpenPyXL.DocsTestsPyPIAnacondaOtherInstallationdomdf_spreadsheet_toolscan be installed from PyPI or Anaconda.To install withpip:$python-mpipinstalldomdf_spreadsheet_toolsTo install withconda:First add the required channels$condaconfig--addchannelshttp://conda.anaconda.org/domdfcoding$condaconfig--addchannelshttp://conda.anaconda.org/conda-forgeThen install$condainstalldomdf_spreadsheet_tools
Package: dome9
Dome9 (Python SDK)Dome9, also known as Checkpoint CloudGuard, is a cloud native security solutions for securing
assets and workloads. At the core of this solution, CloudGuard Posture Management visualizes and
assesses security posture, detects misconfigurations, automates and actively enforces standard
policies (GDPR, HIPAA, ISO27001...), and protects against attacks and insider threats.This repository contains a Python SDK of this tool. Initially its SDK did not have much functionality
and that is why I developed this one to be able to work and include it within my Continuous Integration processes.If you want to integrate Dome9 as part of your CI, check my other modules:Dome9 CLI and Agile.Installationpipinstalldome9📚 Documentation:https://dome9.readthedocs.io/UsageThere are two ways to authenticate:As Arguments: Passing variables on init ->Dome9(key='xxxxxx', secret='yyyyyyy')As Environment variables: Setting your credentials as environment variables ->DOME9_ACCESS_KEYandDOME9_SECRET_KEYfromdome9importDome9dome9=Dome9(key='xxxxxx',secret='yyyyyyy')rulesets=dome9.list_rulesets()exportDOME9_ACCESS_KEY='xxxxxxxxxxxxxxxxxxxx'exportDOME9_SECRET_KEY='yyyyyyyyyyyyyyyyyyyy'python-c"from dome9 import Dome9; print(Dome9().list_rulesets())"What can I do?🌵 List all cloud accounts ->dome9.list_cloud_accounts()🌻 List AWS accounts ->dome9.list_aws_accounts()🌷 List KUBERNETES accounts ->dome9.list_kubernetes_accounts()🌼 Create ruleset ->dome9.create_ruleset()🌴 Create remediation ->dome9.create_remediation()🌲 Connect new AWS account ->dome9.create_aws_account()🌹 Run assessment ->dome9.run_assessment()🍀 List all your cloud assets ->dome9.list_protected_assets()