Saravanan666/pypi-org huggingface dataset:
Package: tap-bitso
tap-bitso⚠️ Warning: this project is under active development, essential features are still missing and implementation subject to change. ⚠️tap-bitsois a Singer tap for theBitso API.Built with the MeltanoSDKfor Singer Taps.Installationpipxinstallgit+https://github.com/edgarrmondragon/tap-bitso.gitConfigurationAccepted Config OptionsA full list of supported settings and capabilities for this
tap is available by running:tap-bitso--aboutFieldDescriptionTypeRequiredDefaultkeyBitso API KeystringyessecretBitso API Secretstringyesbase_urlBitso API URLstringnohttps://api.bitso.combooksTickers to get data forlist(string)no["btc_mxn"]Source Authentication and AuthorizationThis tap handles thedigest access authentication for the Bitso API.UsageYou can easily runtap-bitsoby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-bitso--version
tap-bitso--help
tap-bitso--configCONFIG--discover>./catalog.jsonDeveloper ResourcesInitialize your Development Environmentpipxinstallpoetry
poetryinstallTesting 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-bitso
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-bitso--version# OR run a test `elt` pipeline:meltanoelttap-bitsotarget-sqliteSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-checkly
tap-checklySinger Tap forCheckly. Built with theMeltano Singer SDK.Capabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningSettingsSettingRequiredDefaultDescriptionaccount_idTrueNoneCheckly Account IDtokenTrueNoneAPI Token for Checklystart_dateFalseNoneEarliest datetime to get data frominclude_paid_streamsFalse0Include streams that require a paid Checkly planstream_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-checkly --aboutAPI CoverageAPI EndpointSupportedNotes/v1/alert-channels✅/v1/alert-notifications✅Payment required/v1/checks✅/v1/check-alerts✅/v1/check-groups✅/v1/check-results/{checkId}N/AHeavily rate-limited/v1/dashboards✅/v1/locations✅/v1/maintenance-windows✅/v1/private-locations✅/v1/runtimes✅/v1/snippets✅/v1/variables✅A full list of supported settings and capabilities is available by running:tap-checkly --aboutSource Authentication and AuthorizationUsageYou can easily runtap-checklyby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-checkly--version
tap-checkly--help
tap-checkly--configCONFIG--discover>./catalog.jsonDeveloper ResourcesInitialize your Development EnvironmentpipxinstallhatchCreate and Run TestsRun integration tests:hatchruntests:integrationYou can also test thetap-checklyCLI interface directly:hatchrunsync:console----about--format=jsonTesting 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. Go ahead andinstall Meltanoif you haven't already.Install all pluginsmeltanoinstallCheck that the extractor is working properlymeltanoinvoketap-checkly--versionExecute an ELT pipelinemeltanoruntap-checklytarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to develop your own taps and targets.
Package: tap-clickcast
tap-clickcasttap-clickcastis a Singer tap for AppCast's Clickcast API.Built with the MeltanoSDKfor Singer Taps. More information about Clickcast API can be found athttps://api.clickcast.cloud/clickcast/home#/Installationpipxinstalltap-clickcastConfigurationAccepted Config OptionsA full list of supported settings and capabilities for this
tap is available by running:tap-clickcast--aboutpartner_token
: The Clickcast API Partner Token. This value is used to authenticate with the API by passing it to the headerX-Partner-Tokenapi_url_base
: The Clickcast API base URL. Defaults tohttps://api.clickcast.cloud/clickcast/apiSource Authentication and AuthorizationYou can generate a Partner Token athttps://api.clickcast.cloud/clickcast/home#/tokensUsageYou can easily runtap-clickcastby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-clickcast--version
tap-clickcast--help
tap-clickcast--configCONFIG--discover>./catalog.jsonDeveloper ResourcesInitialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetap_clickcast/testssubfolder and
then run:poetryrunpytestYou can also test thetap-clickcastCLI interface directly usingpoetry run:poetryruntap-clickcast--helpManual test runCreate a config file that contains apartner_tokenproperty, then runpoetryruntap-clickcast--configconfig.jsonRelease new versionWorkflows in the.githubwill create a new version number using Semantic Release.Any commit that starts withfeat: ...will create a new minor version (and any comment that starts withfix: ...will create a new minor version) when the commit is finally merged to main after a PR is approved and merged.Then the new version is published to PyPI, available athttps://pypi.org/project/tap-clickcast/.Testing 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-clickcast
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-clickcast--version# OR run a test `elt` pipeline:meltanoelttap-clickcasttarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-clockify
tap-clockifyAuthor: Stephen Bailey (sbailey@immuta.com)This is aSingertap that produces JSON-formatted data following theSinger spec.It can generate a catalog of available data in Clockify and extract the following resources:clientsprojectstagstaskstime entriesusersworkspacesConfiguration{
  "api_key": "string",
  "workspace": "string",
  "start_date": "2020-04-01T00:00:00Z"
}Quick StartInstallgitclonegit@github.com:immuta/tap-clockify.gitcdtap-clockify
pipinstall.Get anAPI keyfrom ClockifyCreate the config file.There is a template you can use atconfig.json.example, just copy it toconfig.jsonin the repo root and insert your tokenRun the application to generate a catalog.tap-clockify-cconfig.json--discover>catalog.jsonSelect the tables you'd like to replicateStep 4 generates a a file calledcatalog.jsonthat specifies all the available endpoints and fields. You'll need to open the file and select the ones you'd like to replicate. See theSinger guide on Catalog Formatfor more information on how tables are selected.Run it!tap-clockify-cconfig.json--catalogcatalog.jsonAcknowledgementsWould like to acknowledge the folks at Fishtown Analytics whosetap-frameworkandtap-leverpackages formed the foundation for this package.Copyright © 2019 Immuta
Package: tapcode
TAPCODETapcode Cypher also known as Prisoner's tapcode.
For a complete documentation look atReadTheDocsInstallYou can installtapcodeeither via pip (PyPI) or from source.
To install using pip:pip3installtapcodeOr manually:git clone https://github.com/remiflavien1/tapcode
cd tapcode
python3 setup.py installCLIHelp Menu:$ tapcode --help

usage: tapcode [-h] [-i INPUT] [-f [FILE]] [-o [OUTPUT]] [-I] [-d] [-e] [-C] [-G] [-v]

Encipher or Decipher a tapcode message.

optional arguments:
  -h, --help             Show this help message and exit
  -i, --input INPUT      Sentence to cypher or decipher
  -f, --file [FILE]      File to cypher or decipher
  -o, --output [OUTPUT]  Output file
  -I, --stdin            Standard input
  -d, --decode           Decode tapcode sentence.
  -e, --encode           Encode sentences to tapcode (Should be decimal values)
  -C, --convert          Convert tapcode to Decimal value.
  -G, --generate         Generate tapcode
  -v, --version          Tapcode versionFeaturesMultiple input methodInput textFile inputStandard input(Pipe)Built in output flagGenerate and convert any tapcodeExamplesEncipher a clear message:$tapcode-es"I Love Tapcode"243134511544113513341415Decipher a tapcode message:$tapcode-ds"24 31 34 51 15 44 11 35 13 34 14 15"ilovetapcodeFor More Examples checkReadTheDocsAPIFor a complete API documentation look atReadTheDocs
Package: tap-core
Tap CoreSingertap core provide safe tools to easily build newtapsfollowing theSinger specconventionandprotocol.How to use ittap-coreis aSingerTap which intend to work with regularSingerTap.The Goal is to use this package as a foundation to build other taps focusing on the core tools, reducing the energy spent on maintaining the common parts.Getting startedTo make it easy for you to get started with GitLab, here's a list of recommended next steps.Already a pro? Just edit this README.md and make it your own. Want to make it easy?Use the template at the bottom!InstallFirst, make sure Python 3 is installed on your system or follow these
installation instructions forMacorUbuntu.It's recommended to use avenv:Defaultspython-mvenv.virtualenvs/tap-core
.virtualenvs/tap-core/bin/pipinstalltap-coreAlternativepython-mvenv.virtualenvs/tap-coresource.virtualenvs/tap-core/bin/activate
pipinstalltap-core
deactivateTo runLike any other tap that's following the singer specificiation:tap-source | target-destination --config [config.json]Setup the config.json file{"selected":["x","y","z"],"access_token":"TOKEN"}By providing aselectedlist of models, they will be enabled forsyncby default.Build the catalog.virtualenvs/tap-core/bin/tap-core-cconfig_tap.json--discover>catalog.jsonSelect the streams to syncAdd or modify the"selected": true,in themetadata."stream":"teams","metadata":[{"breadcrumb":[],"metadata":{"selected":true,"table-key-properties":["id"],"forced-replication-method":"INCREMENTAL","valid-replication-keys":["updated_at"]}},echo"{}">state.json
.virtualenvs/tap-core/bin/tap-core-cconfig_tap.json--catalogcatalog.json-sstate.json\|.virtualenvs/target-core/bin/target-core-cconfig_target.jsonExamplepython-msrc.tap-cconfig_tap.json--discover>catalog.jsonecho"{}">state.json

python-msrc.tap-cconfig_tap.json--catalogcatalog.json-sstate.json\|.virtualenvs/target-core/bin/target-core-cconfig_target.json>state.json
tail-1state.json>state.json.tmp&&mvstate.json.tmpstate.json
Package: tap-datadog-rum
tap-datadog-rumSinger Tap to pull raw event data from Datadog's Real User Monitoring (RUM) system.Supports 1 or more streams configured using a Datadog RUM event query (copy and paste from DD search UI).Supports extraction of custom fields (from event context) based on a user-configured mapping.Infers event schemas using theGensonlibrary.Uses cursor based fetching with cursor stored in Singer state between runs.A given run of the tap will end once all existing events have been extracted.Example Configuration{"api_key":"DD_API_KEY_SECRET","app_key":"DD_APP_KEY_SECRET","start_date":"2022-08-15T00:00:00Z","streams":{"front_end_crashes":{"query":"env:production @context.browser_reload_required:true","attribute_mapping":{"company_id":"attributes.attributes.context.company_id","error_presentation_style":"attributes.attributes.context.error_presentation_style","error_user_message":"attributes.attributes.context.user_message","team":"attributes.attributes.context.team"}}}}
Package: tap-datateer-graphql-api
tap-datateer-graphql-apitap-datateer-graphql-apiis a Singer tap for DatateerGraphqlApi.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-datateer-graphql-api--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-datateer-graphql-apiby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-datateer-graphql-api--version
tap-datateer-graphql-api--help
tap-datateer-graphql-api--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-datateer-graphql-apiCLI interface directly usingpoetry run:poetryruntap-datateer-graphql-api--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-datateer-graphql-api
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-datateer-graphql-api--version# OR run a test `elt` pipeline:meltanoelttap-datateer-graphql-apitarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tap-dbf
tap-dbfSinger tap for thedBase file format.ConfigurationSettingRequiredDefaultDescriptionpathTrueNoneGlob expression where the files are located. Stream names will be extracted from the file name.fs_rootFalsefile://The root of the filesystem to read from.ignore_missing_memofileFalse0Whether to proceed reading the file even if thememofileis not present.s3FalseNoneS3 configuration.gcsFalseNoneGCS configuration.stream_mapsFalseNoneConfig object for stream maps capability. For more information check outStream Maps.stream_map_configFalseNoneUser-defined config values to be used within map expressions.faker_configFalseNoneConfig for theFakerinstance variablefakeused within map expressions. Only applicable if the plugin specifiesfakeras an addtional dependency (through thesinger-sdkfakerextra or directly).flattening_enabledFalseNone'True' to enable schema flattening and automatically expand nested properties.flattening_max_depthFalseNoneThe max depth to flatten schemas.batch_configFalseNoneJSON example{"path":"tests/data/files/*.dbf","ignore_missing_memofile":true}FilesystemsLocalExample configuration:{"path":"/files/*.dbf","fs_root":"file://data","ignore_missing_memofile":true}Thefs_rootkey is optional and defaults to the current working directory:{"path":"data/files/*.dbf","ignore_missing_memofile":true}S3You need to install the package with thes3extra:pipinstall'tap-dbf[s3]'Example configuration:{"path":"/*.dbf","fs_root":"s3://files","ignore_missing_memofile":true,"s3":{"key":"someKey","secret":"someSecret","endpoint_url":"http://localhost:9000"}}Google Cloud StorageYou need to install the package with thegcsextra:pipinstall'tap-dbf[gcs]'Example configuration:{"path":"/*.dbf","fs_root":"gcs://files","ignore_missing_memofile":true,"gcs":{"token":"cloud"}}Seehttps://gcsfs.readthedocs.io/en/latest/#credentialsfor more information about thetokenkey.RoadmapGoogle Drive filesystemDropbox filesystem
Package: tap-delighted
tap-delightedtap-delightedis a Singer tap for Delighted. It uses the delighted python library to get the dataBuilt with theMeltano Singer SDK.Capabilitiescatalogstatediscoveraboutstream-mapsschema-flatteningbatchSettingsSettingRequiredDefaultDescriptionauth_tokenTrueNoneThe token to authenticate against the API servicestart_dateFalseNoneThe earliest record date to sync (YYYY-MM-DD)stream_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-delighted --about
Package: tap-dimdate
tap-dimdatetap-dimdateis a Singer tap for generating a Date Dimension in a data warehouse.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-dimdate--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-dimdateby itself or in a pipeline usingMeltano.Executing the Tap Directlytap-dimdate--version
tap-dimdate--help
tap-dimdate--configCONFIG--discover>./catalog.jsonDeveloper ResourcesFollow these instructions to contribute to this project.Initialize your Development Environmentpipxinstallpoetry
poetryinstallCreate and Run TestsCreate tests within thetap_dimdate/testssubfolder and
then run:poetryrunpytestYou can also test thetap-dimdateCLI interface directly usingpoetry run:poetryruntap-dimdate--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-dimdate
meltanoinstallNow you can test and orchestrate using Meltano:# Test invocation:meltanoinvoketap-dimdate--version# OR run a test `elt` pipeline:meltanoelttap-dimdatetarget-jsonlSDK Dev GuideSee thedev guidefor more instructions on how to use the SDK to
develop your own taps and targets.
Package: tapedeck
Tapedeck finds and plays music across muiltiple sources and devices:$ pip install tapedeckOne way to use itPerform a search:$ tdsearch Music
  1. Elegant Gypsy
  2. Exile On Main St. (Remastered)
  3. Highwayman
  4. Roll On (Bonus Track Version)
  5. Sleepless Nights
  6. The Essential Donovan
  7. Townes Van Zandt
  8. Skull Fu^H^H and Roses
$ tdplay -m 7 -o icecastPlay the stream remotely:~> tdplay http://192.168.1.100:8777/asdf  # ip address of your machine hereView the cached search:$ tdsearch -m
  1. Elegant Gypsy
  2. Exile On Main St. (Remastered)
  3. Highwayman
  4. Roll On (Bonus Track Version)
  5. Sleepless Nights
  6. The Essential Donovan
  7. Townes Van Zandt
  8. Skull Fu^H^H and RosesAnd the band keeps playing on…– John Perry BarlowMotivationI have at least four avocado boxes of cd’s in my basement, many of them
damaged by decades of shipping around the country without their cases.
A lot of them are ripped, and I also download live recordings thanks
tobt.etree.orgall the time.  All this data
has almost filled a terabyte cloud drive.  Plus it’s scattered all over
a pile of old hard drives and home directory backups.  Finally, I want an
easy way to keep my old phone active as a stereo receiver viaVLC.So, Tapedeck strives to organize this type of music collection and
provide a way for you to enjoy your music.HistoryI’ve had some scripts around for a while to manage my music, but I’ve never
built them into anything bigger partly because they require some complicated
programming techniques that I never really mastered.  Now that I have found
someeasier ways to programthis
type of thing, I feel like I can put it all together into a niftypythonpackage.RequirementsMacInstallHomebrew-
“The missing package manager for macOS”.Install some handy programs thattapedeckrequires:$ brew install python3 ffmpeg sox aria2 postgresql icecast2AndroidInstall termuxInstall depsWindowsgit clonehttp://github.com/zthompson47/tapedeckmake it happenlet me knowiPhonerefertoWindowsSourcesThe source code for this project is hosted on bothgithubandpypi:tapedeck on pypitapedeck on githubreel on pypireel on github
Package: tapen
TapenTapen is a tool for composing and printing labels on a tape witha specialized printers. At the moment only Brother printers are supported.CreditsDmitry Berezovsky (@corvis) - author and main maintainerDominic Radermacher (blip@mockmoon-cybernetics.ch) - creator of libptouch, the source code of this library was used to understand the interface to Brotehr devices.CLI RackDisclaimerThis module is licensed under MIT. This means you are free to use it in commercial projects.The MIT license clearly explains that there is no warranty for this free software. Please see the included LICENSE file
for details.
Package: tape-proteins
Copyright (c) 2018, Regents of the University of California
All rights reserved.Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS”
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.Description: UNKNOWN
Keywords: Proteins,Deep Learning,Pytorch,TAPE
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: POSIX :: Linux
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: Bio-Informatics