Saravanan666/pypi-org huggingface dataset:
Package: tap-googlemeet
tap-googlemeettap-googlemeetis a Singer tap for GoogleMeet.Built with theMeltano Tap SDKfor Singer Taps.ConfigurationAccepted Config OptionsA full list of supported settings and capabilities for this
tap is available by running:tap-googlemeet--aboutConfigure using environment variablesThis Singer tap will automatically import any environment variables within the working directory's.envif the--config=ENVis provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the.envfile.Source Authentication and AuthorizationUsageYou can easily runtap-googlemeetby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-googlemeet--version
tap-googlemeet--help
tap-googlemeet--configCONFIG--discover>./catalog.jsonDeveloper ResourcesFollow these instructions to contribute to this project.Initialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetestssubfolder and
then run:poetryrunpytestYou can also test thetap-googlemeetCLI interface directly usingpoetry run:poetryruntap-googlemeet--helpTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Next, install Meltano (if you haven't already) and any needed plugins:# Install meltanopipxinstallmeltano# Initialize meltano within this directorycdtap-googlemeet
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-googlemeet--version# OR run a test `elt` pipeline:meltanoelttap-googlemeettarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-google-play
tap-google-playSinger tap for Google Play Reviews. Built with theMeltano Singer SDK.Based onhotglue/tap-google-play.Capabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningbatchSettingsSettingRequiredDefaultDescriptionapp_idFalseNoneThe app ID to extract reviews from.app_id_listFalseNoneA list of app IDs to extract reviews from.start_dateFalseNoneThe date to start extracting reviews fromstream_mapsFalseNoneConfig object for stream maps capability. For more information check outStream Maps.stream_map_configFalseNoneUser-defined config values to be used within map expressions.flattening_enabledFalseNone'True' to enable schema flattening and automatically expand nested properties.flattening_max_depthFalseNoneThe max depth to flatten schemas.batch_configFalseNoneA full list of supported settings and capabilities is available by running:tap-google-play --aboutUsageYou can easily runtap-google-playby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-google-play--version
tap-google-play--help
tap-google-play--configCONFIG--discover>./catalog.jsonDeveloper ResourcesInitialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetestssubfolder and then run:poetryrunpytestYou can also test thetap-google-playCLI interface directly usingpoetry run:poetryruntap-google-play--helpTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Your project comes with a custommeltano.ymlproject file already created. Open themeltano.ymland follow any"TODO"items listed in
the file.Next, install Meltano (if you haven't already) and any needed plugins:# Install meltanopipxinstallmeltano# Initialize meltano within this directorycdtap-google-play
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-google-play--version# OR run a test `elt` pipeline:meltanoelttap-google-playtarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-googlesearch
tap-googlesearchinstallationInstall usingpip:pipinstalltap-googlesearchexampletap-googlesearch-cconfig.json>records.ndjsonand test using thesinger-check-tapby installing thesinger-toolsas well:pipenvinstalltap-googlesearchsinger-tools
pipenvruntap-googlesearch-cexample_config.json|pipenvrunsinger-check-tapconfigBelow is an example of a validconfig.jsonfor this tap. There's an optionalstart_datefield that will default to 24 weeks in the past if not set.{"oauth2_credentials_file":"<fully qualified path to the OAuth2.0 credentials file>","dimensions":["page","query"],"start_date":"2018-05-23","site_urls":["<optional list of site_urls to include (defaults to all)>"]}
Package: tap-instantly-ai
tap-instantly-aitap-instantly-aiis a Singer tap for InstantlyAI.Built with theMeltano Tap SDKfor Singer Taps.Capabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningSettingsSettingRequiredDefaultDescriptionapi_keyTrueNoneThe API key to authenticate against the API servicestart_dateTrueNoneThe earliest record date to syncstream_mapsFalseNoneConfig object for stream maps capability. For more information check outStream Maps.stream_map_configFalseNoneUser-defined config values to be used within map expressions.flattening_enabledFalseNone'True' to enable schema flattening and automatically expand nested properties.flattening_max_depthFalseNoneThe max depth to flatten schemas.A full list of supported settings and capabilities is available by running:tap-instantly-ai --aboutConfigure using environment variablesThis Singer tap will automatically import any environment variables within the working directory's.envif the--config=ENVis provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the.envfile.Source Authentication and AuthorizationSeehttps://developer.instantly.ai/introduction.UsageYou can easily runtap-instantly-aiby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-instantly-ai--version
tap-instantly-ai--help
tap-instantly-ai--configCONFIG--discover>./catalog.jsonDeveloper ResourcesFollow these instructions to contribute to this project.Initialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetestssubfolder and
then run:poetryrunpytestYou can also test thetap-instantly-aiCLI interface directly usingpoetry run:poetryruntap-instantly-ai--helpTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Next, install Meltano (if you haven't already) and any needed plugins:# Install meltanopipxinstallmeltano# Initialize meltano within this directorycdtap-instantly-ai
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-instantly-ai--version# OR run a test `elt` pipeline:meltanoelttap-instantly-aitarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tapioca-asana
Installpip install tapioca-asanaHow to use itfromtapioca_asanaimportAsanaasana=Asana(personal_key='{your-key}')print(asana.projects().get())What to do next?Learn more aboutTapioca Wrapper.Explore this package usingJupyter Notebook.Have fun!LicenseThe MIT License (MIT)Copyright (c) 2017 Henrique Bastos <henrique@bastos.net>
Package: tapioca-circleci
CircleCI API Wrapper using tapiocahttps://circleci.com/docs/api/Note: Not all endpoints are mapped, please open an issue if you needInstallationIMPORTANT: Only Python 3.5+pipinstalltapioca-circleciDocumentationfromtapioca_circleciimportCircleCIapi=CircleCI(token='{your-token}'# required,timeout=5,# Optional, defaults to 5s)To generate API tokens, access your dashboard: [https://circleci.com/account/api](https://circleci.com/account/api)SerializationdatetimeDecimalDeseralizationdatetimeDecimalMoreLearn how Tapioca works [here](http://tapioca-wrapper.readthedocs.org/en/stable/quickstart.html)Explore this package using iPythonHave fun!Changelog:0.0.1Initial release
Package: tapioca-disqus
# tapioca-disqusDisqus API wrapper implemented with [tapioca-wrapper](https://github.com/vintasoftware/tapioca-wrapper).## Installation```pip install tapioca-disqus```## DocumentationThis wrapper can execute any Disqus Web API method listed in [Disqus API docs](https://disqus.com/api/docs/).For example, if we want to call __threads/details/__ method we can do the following:``` pythonfrom tapioca_disqus import Disqusdisqus = Disqus(api_secret='your-disqus-api-secret')thread = disqus.threads_details().get(params={'thread': '42'})print(thread.response.id().data())  # prints '42'```All methods should be called with snake_case naming in order to fit Python convention. If we want to execute __forums/listFollowers__API method we should use `disqus.forums_list_followers()` method.## More- Learn how Tapioca works [here](http://tapioca-wrapper.readthedocs.org/en/latest/quickstart.html/)- Explore this package using ipython- Have fun!
Package: tapioca-gather
Installationpip install tapioca-gatherDocumentationGather HTTP API
DocumentationAuthGenerate yourAPI_KEYhere:https://gather.town/apiKeysUsageNOTE: forward slashes inspace_idneed to be replaced by backslashes
(e.g.dkj63wrer8/spaceNamebecomesdkj63wrer8\spaceName)fromtapioca_gatherimportGatherapi=Gather(api_key=API_KEY)space_id='dkj63wrer8\\spaceName'assignment=api.game_server_assignment(space_id=space_id).get()print(assignment().data)wss://engine-aaaaa.aaa0-a.prod.do.gather.town:443/space=api.space(space_id=space_id).get()print(space().data['level'])1No more documentation needed.Learn how Tapioca workshereExplore this package using iPythonHave fun!
Package: tapioca-rocketchat
# Tapioca Rocket.Chat## Installation```pip install tapioca-rocketchat```## Documentation``` pythonfrom tapioca_rocketchat import Rocketchatapi = Rocketchat(host='your-host', token='your-token', user_id='your-user-id')# or api = Rocketchat(host='your-host', username='your-username', password='your-password')api.version().get()api.rooms().get()api.messages(room='room-id').get()api.join(room='room-id').post()api.send(room='room-id').post(data={'msg': 'your-message'})api.leave(room='room-id').post()api.logoff().post()```
Package: tapioca-statuspage
# Tapioca statuspage## Installation```pip install tapioca-statuspage```## Documentation``` pythonfrom tapioca_statuspage import Statuspageapi = Statuspage()```No more documentation needed.- Learn how Tapioca works [here](http://tapioca-wrapper.readthedocs.org/en/stable/quickstart.html)- Explore this package using iPython- Have fun!
Package: tapioca-stripe
Tapioca StripeInstallationpip install tapioca-stripeDocumentationfromtapioca_stripeimportStripeclient=Stripe(api_key='sk_test_4eC39HqLyjWDarjtT1zdp7dc',)client.charges_list().get()Stripe file creation endpointThis endpoint has a special baseapi_root.If you want to use this endpoint make sure yourtapioca-wrapperversion
is higher than1.5.1that has support toresource aware get_api_root.Learn how Tapioca workshereExplore this package using iPythonHave fun!
Package: tapioca-toggl
Python wrapper forToggl API v8Installationtapioca-togglis available for download fromPyPIviapip:$ pip install tapioca-togglUsageCreate a new API instance and send requests as follows:fromtapioca_togglimportTogglapi=Toggl(access_token='{your-access-token}')response=api.me_with_related_data().get()me=response.data()DocumentationFor a list of all of the available endpoints, please consultresource_mapping.py.You can find more information on Tapioca at theTapioca-Wrapper docs.Code of ConductEveryone interacting in the Tapioca-Toggl project’s codebases, issue trackers, chat
rooms, and mailing lists is expected to follow thePyPA Code of Conduct.LicenseDistributed under the terms of theMITlicense, Tapioca-Toggl is free and open source software
Package: tapioca-trello
Tapioca trelloInstallationpip install tapioca-trelloDocumentationfromtapioca_trelloimportTrelloapi=Trello(key='{your-api-token}',token='{your-api-token}',)Get trellokeyandtokenhereLearn how Tapioca workshereExplore this package using iPythonHave fun!
Package: tapioca-twitter
Instalationpip install tapioca-twitterDocumentationfromtapioca_twitterimportTwitterapi=Twitter(api_key='{your-api-id}',api_secret='{your-api-secret}',access_token='{your-access-token}',access_token_secret='{your-access-token-secret}',)SerializationdatetimeDecimalDeseralizationdatetimeDecimalMoreLearn how Tapioca workshereExplore this package using iPythonHave fun!
Package: tapioca-wrapper
Tapioca provides an easy way to make explorable Python API wrappers.
APIs wrapped by Tapioca follow a simple interaction pattern that works uniformly so
developers don’t need to learn how to use a new coding interface/style for each service API.Source code hosted on Github:https://github.com/vintasoftware/tapioca-wrapperDocumentation hosted by Readthedocs:http://tapioca-wrapper.readthedocs.io/en/stable/
Package: tapir-py
tapir_pyContains the source code for IronPython friendly adaptation of the officialarchicadpackage.Installationpip install tapir_pyUsage# Sample code to check connection# with open ARCHICAD project.importtapir_pyresult=tapir_py.is_alive()print(result)# Sample code to get all elements# from open ARCHICAD project, and# print the GUID.fromtapir_pyimportcore# Create an archicad command object.archicad=core.Command.create()# Print GUID of elementselements=archicad.GetAllElements()forelementinelements:print(element.guid)
Package: tapis-cli
Tapis CLI is a human-friendly, scriptable command line interface, implemented in
Python, that helps scientists and engineers build and manage scalable computational
and data science workflow projects using theTapisplatform. It is a
replacement for a pure-Bash CLI environment known as agave-cli that we hope
brings you new features, better reliability, and dramatically enhanced
productivity.Tapis CLI provides a unified interface to multiple web service APIs, allowing them
to be easily orchestrated and composed into higher-order constructs combining
HPC, data management, cloud computing, and other aspects of computing.Documentation:https://tapis-cli.readthedocs.io/en/latest/InstallationThe latest stable release of Tapis CLI is available on PyPi and is the recommended
way for most people to install it.$pipinstalltapis-cliStable but possibly as-yet unreleased updates are available via themainbranch
of the Tapis CLI GitHub repository.$gitclonehttps://github.com/TACC-Cloud/tapis-cli.git$cdtapis-cli$pipinstall--user.Container ImageAs an alternative to local installation, the CLI is available as a public
Docker imagetacc/tapis-cli:latestonDockerHub:dockerrun--rm-it-v${PWD}:/work-v${HOME}/.agave:/root/.agave\tacc/tapis-cli:latestbashInitialize a SessionYou must set up a Tapis session on each host where you will use Tapis CLI. This
is a scripted process implemented bytapis auth init. Here’s an example:$tapisauthinitUseofTapisrequiresacceptanceoftheTACCAcceptableUsePolicy,whichcanbefoundathttps://portal.tacc.utexas.edu/tacc-usage-policyDoyouagreetoabidebytheAUP?(type'y'or'n'thenReturn)yToimproveourabilitytosupportTapisandtheTapisCLI,wewouldliketocollectyourIPaddrress,operatingsystemandPythonversion.Nopersonally-identifiableinformationwillbecollected.ThisdatawillonlybesharedinaggregateformwithfundersandTapisplatformstakeholders.Doyouconsenttothisreporting?[Y/n]:yAvailableTenants=================3demagave.prodaraport.orgbridgedesignsafeiplantc.orgirecportalssd2esgcitacc.prodvdjserver.orgEnteratenantname:tacc.prodUsername:tacotronPasswordfortacotron:+--------------+---------------------------------+|Field|Value|+--------------+---------------------------------+|tenant_id|tacc.prod||username|tacotron||client_name|_cli-tacc.prod-tacotron-macbook||api_key|uAShaDfy0vF7hgFcAqx7oeAtO6oa||access_token|a31c66cfaa45451c95df6fd473ffd4b||expires_at|ThuSep1914:08:372019|+--------------+---------------------------------+Get StartedThe CLI features extensive contextual help. Get a listing of
supported commands and global options via--help.$tapis--helpFind available commands:$tapisapps--helpCommand"apps"matches:appscreateappsdisableappsenableappshistoryappslistappspemsgrant...Get help for a specific command:There is a--helpflag for each command.$tapishelpappslist$# or$tapisappslist--helpIssue TrackerMajor functional objectives are bundled intoMilestoneswith due dates in the
future. This provides a way to organize the work and have a public road map
for functionality.All work should proceed through at least one or more reportedIssues.
Package: tapisservice
Tapipy plugin granting Tapis service functionality usingimport tapisservice.Automated Builds with Make and PoetryThis repository includes a Makefile to automate tasks such as building the images and running tests.
It depends on Poetry; see the docs for installing on your platform:https://python-poetry.org/docs/Note: On Ubunut 20 LTS (and maybe other platforms?) you might hit an issue trying to run thepoetry buildcommand with your version of virtualenv; see this issue:https://github.com/python-poetry/poetry/issues/2972The workaround, as described in the issue, is to remove the version of virtualenv bundled with Ubuntu and install
it with pip:$ sudo apt remove --purge python3-virtualenv virtualenv
 $ sudo apt install python3-pip   # if necessary 
 $ pip3 install -U virtualenvRunning the TestsIn order to run the tests, you will need to populate theconfig-dev-develop.jsonfile within thetestswith the service password forabacoin develop. If you do not know how to get that password, ask for help on the tacc-cloud slack team.
Package: tapita
Tapita: a book cover generatorThis is of very limited usefulness for the average person, but
if you have ever needed to generate book covers for a few
thousand files out of book metadata, then this may be for you!The image it generates has some colorful "art" thanks toDicebearwhich, again, will not change unless you change the title or subtitle
of the book.This is based off code fromTenprintcoveralthough I don't think anything survives of the original code, which has been ported
to Pillow and de-c64-fied.Usage:$python-mtapita--help
Usage:python-mtapita[OPTIONS]Options:-t,--title<title>Booktitle-s,--subtitle<subtitle>Booksubtitle-a,--author<author>Bookauthor-o,--output<filename>Outputfile(-forstdout)--helpShowthismessageandexit.Example usage:$python-mtapita-t"Dunes"-s"Oh, worms!"-a"Frank Herbert (has no sons)"-ocover.jpgWhich produces this image:There are plentiful opportunities for customization, which I will
probably not do anything about.TODO: packaging and such.
Package: tapitas
# TaPiTaS algorithmA data exploration and visualization algorithm for understanding diffusion process.# Method description and citation:## Ref.:Chin W. C. B., Wen T. H., Sabel C. E. & Wang I. H. (2017). A geo-computational algorithm for exploring the structure of diffusion progression in time and space. Scientific Reports 7: 12565. DOI http://dx.doi.org/10.1038/s41598-017-12852-zPaper Link:https://www.nature.com/articles/s41598-017-12852-zAbstract Link:https://wcchin.github.io/a-geo-computational-algorithm-for-exploring-the-structure-of-diffusion-progression-in-time-and-space.html====================## dependencies- pandas- geopandas- scipy- numpy- descartes- matplotlib- seaborn- shapely====================## Usagesimilar to the example file**column settings**pts_setting (about the data, should be set according to data frame):- xcor: x coordinate column,- ycor: y coordinate column, and- time: the time column, integerxcor and ycor will be used to calculate distance, so probably not longitude and latitude, should be projected according to the region```pythonpts_setting = {'xcor':'xcor', 'ycor':'ycor', 'time':'days'}```**main parameters**setting the three major parameter (should be set by user):- s_radius: spatial searching radius- T1: the time buffer, neighboring pair relationship- T2: the time threshold, the shifting link relationship```pythonimport pandas as pdimport tapitasadf = pd.read_csv('test_data/demo_0905.csv', index_col=0)pts_setting = {'xcor':'xx', 'ycor':'yy', 'time':'time'}s_radius = 500T1 = 6T2 = 23PG_graph = tapitas.Point_Diffusion(adf, pts_setting=pts_setting, s_radius=s_radius, T1=T1, T2=T2, resample_time=99, confidence_level=0.8, critical_value=None)print("calculation done")res = PG_graph.resultsprint(res.get_summary_df())print(res.get_node_df())print(res.get_cluster_df())print(res.get_progress_df())print(res.get_final_slinks_df())print(res.get_final_nlinks_df())```
Package: tapi-wrapper
Tapi-WrapperTapioca helps you generating Python clients for APIs.
APIs wrapped by Tapioca are explorable and follow a simple interaction pattern that works uniformly so developers don't need to learn how to use a new coding interface/style for each service API.Api examplesYandex Metrika APIYandex Direct APIInstalledpip install tapi-wrapper==2021.2.20HelpТелеграм,FacebookAuthorsThe author of this modification Pavel MaksimovPowered byTapioca-WrapperCopyright (c) 2013-2015 Vinta Software
Package: tapi-wrapper2
Tapi-WrapperTapioca helps you generating Python clients for APIs.
APIs wrapped by Tapioca are explorable and follow a simple interaction pattern that works uniformly so developers don't need to learn how to use a new coding interface/style for each service API.Api examplesYandex Metrika APIYandex Direct APIInstalledpip install tapi-wrapper2==0.1.2HelpТелеграм,FacebookAuthorsThe author of this modification Pavel MaksimovPowered byTapioca-WrapperCopyright (c) 2013-2015 Vinta Software
Package: tapi-yandex-metrika
Python client for allAPI Yandex MetrikaInstallationPrev versionpip install --upgrade tapi-yandex-metrika==2020.10.20Last version. Has backward incompatible changes.pip install --upgrade tapi-yandex-metrika==2021.5.28DocumentationAPI ManagementAPI StatsLogs APIDependenciesrequeststapi_wrapperAuthorsPavel MaksimovTelegram,FacebookGood luck friend! Put an asterisk;)Удачи тебе, друг! Поставь звездочку ;)Copyright (c) Pavel Maksimov.
Package: tap-kiotviet
tap-kiotviettap-kiotvietis a Singer tap for KiotViet.Built with theMeltano Tap SDKfor Singer Taps.ConfigurationAccepted Config OptionsA full list of supported settings and capabilities for this
tap is available by running:tap-kiotviet--aboutConfigure using environment variablesThis Singer tap will automatically import any environment variables within the working directory's.envif the--config=ENVis provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the.envfile.Source Authentication and AuthorizationUsageYou can easily runtap-kiotvietby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-kiotviet--version
tap-kiotviet--help
tap-kiotviet--configCONFIG--discover>./catalog.jsonDeveloper ResourcesFollow these instructions to contribute to this project.Initialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetestssubfolder and
then run:poetryrunpytestYou can also test thetap-kiotvietCLI interface directly usingpoetry run:poetryruntap-kiotviet--helpTesting withMeltanoNote:This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios.Next, install Meltano (if you haven't already) and any needed plugins:# Install meltanopipxinstallmeltano# Initialize meltano within this directorycdtap-kiotviet
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-kiotviet--version# OR run a test `elt` pipeline:meltanoelttap-kiotviettarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.