Saravanan666/pypi-org huggingface dataset:
Package: opentabulate
OpenTabulateOpenTabulate is a Python package designed to organize, tabulate, and process structured data. It currently aims to be a data processing framework for theLinkable Open Data Environment, an exploratory project by the Data Exploration and Integration Lab (DEIL) within the Center for Special Business Projects (CSBP) at Statistics Canada. OpenTabulate offersa systematic way of organizing data usingsources files(inspired byOpenAddresses),tabulation of data into a common format (CSV) and common schema that is suitable for merging and linkage,basic data cleaning and formatting, data filtering and customizing output schema.RequirementsThis package is meant to be run on a Linux-based distribution. Using the package only requiresPython(version 3.5+)InstallationInstall theopentabulatepackage from thePython Package Indexusing whatever Python package manager you choose. For example, withpipinstalled you may simply run$ pip3 install opentabulatewith any Python environment.After installing the package, copy the OpenTabulate configuration file using the built-in command line flag.$ opentab --copy-configThis copies the fileopentabulate.conf.examplefrom the package installation to$HOME/.config/opentabulate.conf. Provide a directory for theroot_directoryvariable in the configuration, which will specify where the datasets will be loaded from and tabulated to. Configure the remaining variables as needed. Next runopentab --initializewhich creates the subdirectories inroot_directory. Now OpenTabulate is ready to run.DocumentationFor more information, please read our documentationhere.IssuesYou can post questions, enhancement requests, and bugs inIssues.
Package: opentapioca
Documentation
StatusBuild StatusCoverage
StatusOpenTapioca is a simple and fastNamed Entity Linking
systemforWikidata. It is kept synchronous with
Wikidata in real time, encouraging users to improve the results of their
entity linking tasks by contributing back to Wikidata.A live instance is running athttps://opentapioca.org/.ANIF
endpointis available athttps://opentapioca.org/api/nif.Seethe docsfor
more information about how it works and how to run it. Seethe
paperfor some more motivation
about the design of the system.OpenTapioca is released under the Apache-2.0 license.
Package: opentargets-validator
Open Targets JSON validatorTheopentargets-validatortool in this repository validates JSON files which are submitted to Open Targets by variousdata sourcesagainst the Open TargetsJSON schemas.Installationpipinstall--upgradeopentargets-validatorUsage examplesValidating a local gzipped file against the latest schema version from GitHub:opentargets_validator\--schemahttps://raw.githubusercontent.com/opentargets/json_schema/master/schemas/disease_target_evidence.json\evidence.json.gzValidating a portion of the local file against a local copy of the schema:zcatevidence.json.gz|head-n100|opentargets_validator--schemaevidence_schema.jsonInput filesThe validator has to be provided with two inputs:Data to validate. It has to contain exactly one complete JSON object per line.Schema to validate against. It can be any valid JSON Draft 7 schema.Either of the input files (data and schema) can be read from:STDIN (-)Uncompressed remote file (https://example.com/example.json)Uncompressed local file (example.json)GZIP-compressed local file (example.json.gz)Development instructionsAn editable copy can be installed within a virtual environment:python-mvenvenvsourceenv/bin/activate
pipinstall-e.[dev]The tests can be run with:python-mpytest--cov=opentargets_validator--cov-reporttermtests/--fulltraceNote that you should always usepython -m pytestand notpytest, because the latter might invoke a system-wide installation (if you have any) and cause incorrect test results.This repository hasTravis integrationandCodeCov integration.Releases are put onPyPIautomatically via Travis from GitHub tags.
Package: opentaxii
OpenTAXIITAXII server implementation in Python fromEclecticIQ.OpenTAXII is a robust Python implementation of TAXII Services that
delivers rich feature set and friendly pythonic API built on top of well
designed application.OpenTAXII is guaranteed to be compatible withCabby, TAXII client library.Source|Documentation|Information|DownloadState of the projectWe have made the decision to consider this projectfeature-complete. It means we still maintain it, however we focus only on bug fixes. Still, we’re very open to external contributions - if you know how to fix an issue and you can open a PR, we will be very grateful.Getting startedSeethe documentation.Getting started with OpenTAXII using DockerOpenTAXII can also be run using docker. This guide assumes that you have
access to a local or remote docker server, and won't go into the setup
of docker.To get a default (development) instance using docker$dockerrun-d-p9000:9000eclecticiq/opentaxiiTo have the instance preloaded with example data, seethe documentation on docker volumes.NOTE:OpenTAXII is now accessible through port 9000, with data stored
locally in a SQLite databases optionally using services/collections/accounts defined
indata-configuration.ymlMore documentation on running OpenTAXII in a container is found in theOpenTAXII Docker Documentation.FeedbackYou are encouraged to provide feedback by commenting on open issues or
sending us email atopentaxii@eclecticiq.com
Package: opentc-icap
The Internet Content Adaptation Protocol (ICAP) is a lightweight
HTTP-like protocol specified in RFC 3507 which is used to extend
transparent proxy servers. It is used generally for a virus scanner or
content filtering.The purpose of this icap-server-opentc is to demonstrate one of the
usages of the OpenTC server. In this case, the icap server is used as
Data Leak Prevention (DLP). It is listening on the icap server’s default
port 1344. The squid-cache is used as the http/s proxy (it can be also
any other proxy servers). It is configured to connect to the icap server
for the content filtering. Any out going http traffics through the squid
proxy will be sent to the icap server, which will then forward it to the
OpenTC server. OpenTC server analyses the data and classify it based on
the pre-trained data. The result of the text classification is sent back
to the icap server, which will decide if the outgoing traffic should be
blocked or allowed.RequirementsPython 3.xopentcPyYAMLpyicap 1.0b1python-magicpython-multipartTODOthe icap server should monitor the availability of the OpenTC server.
In case it is not up or running, this icap server should try to
reconnect it again several times in difference interval (i.e: the
interval of the first 3 reconnection could be 10 seconds, and after 3
unsuccessful attempts to reconnect, the interval connection time
should be changed to 300 seconds). Currently, the icap server has to
be restarted manually after the OpenTC server is died or restarted.Currently the decision to take, either the traffic is blocked or
allowed, is implemented using manual “for_loop-if-elif” sequences,
which maybe not easy to understand or error prone. In the future, the
software would use a rule engine (if there is any) to simplify the
creation of complex rules.
Package: opentele
openteleAPython Telegram API Libraryfor converting betweentdataandtelethonsessions, with built-inofficial Telegram APIs.Read the documentation.FeaturesConvertTelegram Desktoptdatasessions totelethonsessions and vice versa.Usetelethonwithofficial APIsto avoid bot detection.Randomizedevice infousing real data that recognized by Telegram server.Dependenciestelethon- Widely used Telegram's API library for Python.tgcrypto- AES-256-IGE encryption to works withtdata.pyQt5- Used by Telegram Desktop to streams data from files.InstallationInstall fromPyPI:pip install --upgrade openteleFirst RunLoad TDesktop from tdata folder and convert it to telethon, with a custom API:fromopentele.tdimportTDesktopfromopentele.tlimportTelegramClientfromopentele.apiimportAPI,CreateNewSession,UseCurrentSessionimportasyncioasyncdefmain():# Load TDesktop client from tdata foldertdataFolder=r"C:\Users\<username>\AppData\Roaming\Telegram Desktop\tdata"tdesk=TDesktop(tdataFolder)# Using official iOS API with randomly generated device info# print(api) to see moreapi=API.TelegramIOS.Generate()# Convert TDesktop session to telethon client# CreateNewSession flag will use the current existing session to# authorize the new client by `Login via QR code`.client=awaittdesk.ToTelethon("newSession.session",CreateNewSession,api)# Although Telegram Desktop doesn't let you authorize other# sessions via QR Code (or it doesn't have that feature),# it is still available across all platforms (APIs).# Connect and print all logged in devicesawaitclient.connect()awaitclient.PrintSessions()asyncio.run(main())Authorizationopenteleoffers the ability to useofficial APIs, which are used by official apps. You can check that outhere.According toTelegram TOS:all accounts that sign up or log in using unofficial Telegram API clients are automatically put under observation to avoid violations of the Terms of Service.It also uses thelang_packparameter, of whichtelethon can't usebecause it's for official apps only.Therefore,there are no differencesbetween using opentele and official apps, the server can't tell you apart.Incoming FeaturesWriting data to tdata for converting telethon sessions to tdesktop.Random device information forinitConnectionto avoid spam-detection.Add support forpyrogram.Develop opentele-tui usingtextualfor non-experience user.ExamplesThe best way to learn anything is by looking at the examples. Am I right?Example onreadthedocsExample ongithubDocumentationRead documentation onreadthedocsRead documentation ongithub
Package: opentelemetry-container-distro
opentelemetry-container-distroAn OpenTelemetry distro which automatically discovers container attributes.This distro expands the standardopentelemetry-distroto automatically bring in
additional resource detectors for container environments.opentelemetry-resourcedetector-dockeropentelemetry-resourcedetector-kubernetesopentelemetry-resourcedetector-processOtherwise, this distro preserves the behavior and configuration ofopentelemetry-distro.
Package: opentelemetry-exception-ext
OpenTelemetry extension for exceptionThis repository contains a set of utilities for OpenTelemetry's exception for Python.Installationpipinstallopentelemetry-exception-extUsageAdd local variables to attributes of exception's eventfromopentelemetry.exception.extimportenable_local_variables_recordingenable_local_variables_recording()When exception is raised, OpenTelemetry automatically creates an event for exception.enable_local_variables_recording()adds local variables and its function information to the event's attributes automatically by decoratingSpan.record_exception().This helps you find the situation where exception happened.Attributes will be added like below.{"name":"example for enable_local_variables_recording",...,"status":{"status_code":"ERROR","description":"Exception: exception: hello, 1234, True"},"events":[{"name":"exception","attributes":{"exception.type":"Exception","exception.message":"exception: hello, 1234, True","exception.stacktrace":"Traceback (most recent call last) ...","exception.escaped":"False","local.var.text_arg":"hello",// <= Added value for `text_arg`"local.var.int_arg":1234,// <= Added value for `int_arg`"local.var.bool_var":true,// <= Added value for `bool_var`"local.function.filename":"/path/to/enable_local_variables_recording/sample.py",// <= Added value for filename"local.function.name":"raise_exception",// <= Added value for function name"local.function.lineno":16// <= Added value for line number of the file}}]}You can see examplehere.:warning: When using pre-fork server like Gunicorn, you should callenable_local_variables_recording()before fork to not run same thing multiple times.
Package: opentelemetry-exporter-cloud-monitoring
DEPRECATEDThis package is deprecated. It will not
receive any more updates.Please useopentelemetry-exporter-gcp-monitoringinstead. It
will not receive any more updates.This library provides classes for exporting metrics data to Google Cloud Monitoring.Installationpip install opentelemetry-exporter-cloud-monitoringReferencesOpenTelemetry Cloud Monitoring ExporterCloud MonitoringOpenTelemetry Project
Package: opentelemetry-exporter-cloud-trace
DEPRECATEDThis package is deprecated. It will not
receive any more updates.Please useopentelemetry-exporter-gcp-traceandopentelemetry-propagator-gcpinstead. It will not
receive any more updates.This library provides classes for exporting trace data to Google Cloud Trace.Installationpip install opentelemetry-exporter-cloud-traceUsagefromopentelemetryimporttracefromopentelemetry.exporter.cloud_traceimportCloudTraceSpanExporterfromopentelemetry.sdk.traceimportTracerProviderfromopentelemetry.sdk.trace.exportimport(SimpleExportSpanProcessor,)trace.set_tracer_provider(TracerProvider())cloud_trace_exporter=CloudTraceSpanExporter(project_id='my-gcloud-project',)trace.get_tracer_provider().add_span_processor(SimpleExportSpanProcessor(cloud_trace_exporter))tracer=trace.get_tracer(__name__)withtracer.start_as_current_span('foo'):print('Hello world!')ReferencesCloud TraceOpenTelemetry Project
Package: opentelemetry-exporter-datadog
This library allows to export tracing data toDatadog. OpenTelemetry span event and links are not
supported.WarningThis exporter has been deprecated. To export your OTLP traces from OpenTelemetry SDK directly to Datadog Agent, please refer toOTLP Ingest in Datadog Agent.Installationpip install opentelemetry-exporter-datadogReferencesDatadogOpenTelemetry Project
Package: opentelemetry-exporter-gcp-monitoring
This library provides support for exporting metrics to Google Cloud
Monitoring.For resource detection and GCP trace context propagation, seeopentelemetry-tools-google-cloud. For the
Google Cloud Trace exporter, seeopentelemetry-exporter-gcp-trace.Installationpipinstallopentelemetry-exporter-gcp-monitoringUsageimporttimefromopentelemetryimportmetricsfromopentelemetry.exporter.cloud_monitoringimport(CloudMonitoringMetricsExporter,)fromopentelemetry.sdk.metricsimportMeterProviderfromopentelemetry.sdk.metrics.exportimportPeriodicExportingMetricReaderfromopentelemetry.sdk.resourcesimportResourcemetrics.set_meter_provider(MeterProvider(metric_readers=[PeriodicExportingMetricReader(CloudMonitoringMetricsExporter(),export_interval_millis=5000)],resource=Resource.create({"service.name":"basic_metrics","service.namespace":"examples","service.instance.id":"instance123",}),))meter=metrics.get_meter(__name__)# Creates metric workload.googleapis.com/request_counter with monitored resource generic_taskrequests_counter=meter.create_counter(name="request_counter",description="number of requests",unit="1",)staging_labels={"environment":"staging"}foriinrange(20):requests_counter.add(25,staging_labels)time.sleep(5)ReferencesCloud MonitoringOpenTelemetry Project
Package: opentelemetry-exporter-gcp-trace
This library provides support for exporting traces to Google Cloud Trace.For resource detection and GCP trace context propagation, seeopentelemetry-tools-google-cloud. For the
Google Cloud Monitoring exporter, seeopentelemetry-exporter-gcp-monitoring.Installationpipinstallopentelemetry-exporter-gcp-traceUsagefromopentelemetryimporttracefromopentelemetry.exporter.cloud_traceimportCloudTraceSpanExporterfromopentelemetry.sdk.traceimportTracerProviderfromopentelemetry.sdk.trace.exportimport(SimpleSpanProcessor,)trace.set_tracer_provider(TracerProvider())cloud_trace_exporter=CloudTraceSpanExporter(project_id='my-gcloud-project',)trace.get_tracer_provider().add_span_processor(SimpleSpanProcessor(cloud_trace_exporter))tracer=trace.get_tracer(__name__)withtracer.start_as_current_span('foo'):print('Hello world!')ReferencesCloud TraceOpenTelemetry Project
Package: opentelemetry-exporter-google-cloud
DEPRECATEDThis package is deprecated. It will not
receive any more updates.Please useopentelemetry-exporter-gcp-monitoringandopentelemetry-exporter-gcp-traceinstead. It will
not receive any more updates.This library provides support for:Exporting traces to Google Cloud TraceExporting metrics to Google Cloud MonitoringFor resource detection and GCP trace context propagation, seeopentelemetry-tools-google-cloud.Installationpipinstallopentelemetry-exporter-google-cloudUsageTracesfromopentelemetryimporttracefromopentelemetry.exporter.cloud_traceimportCloudTraceSpanExporterfromopentelemetry.sdk.traceimportTracerProviderfromopentelemetry.sdk.trace.exportimport(SimpleExportSpanProcessor,)trace.set_tracer_provider(TracerProvider())cloud_trace_exporter=CloudTraceSpanExporter(project_id='my-gcloud-project',)trace.get_tracer_provider().add_span_processor(SimpleExportSpanProcessor(cloud_trace_exporter))tracer=trace.get_tracer(__name__)withtracer.start_as_current_span('foo'):print('Hello world!')Metricsimporttimefromopentelemetryimportmetricsfromopentelemetry.exporter.cloud_monitoringimport(CloudMonitoringMetricsExporter,)fromopentelemetry.sdk.metricsimportCounter,MeterProvidermetrics.set_meter_provider(MeterProvider())meter=metrics.get_meter(__name__)metrics.get_meter_provider().start_pipeline(meter,CloudMonitoringMetricsExporter(),5)requests_counter=meter.create_counter(name="request_counter",description="number of requests",unit="1",value_type=int)staging_labels={"environment":"staging"}foriinrange(20):requests_counter.add(25,staging_labels)time.sleep(10)ReferencesCloud TraceOpenTelemetry Project
Package: opentelemetry-exporter-jaeger
WarningSince v1.35, the Jaeger supports OTLP natively. Please use the OTLP exporter instead.
Support for this exporter will end July 2023.This package is no longer being tested.This library is provided as a convenience to install all supported Jaeger Exporters. Currently it installs:
* opentelemetry-exporter-jaeger-proto-grpc
* opentelemetry-exporter-jaeger-thriftTo avoid unnecessary dependencies, users should install the specific package once they’ve determined their
preferred serialization method.Installationpip install opentelemetry-exporter-jaegerReferencesOpenTelemetry Jaeger ExporterJaegerOpenTelemetry Project
Package: opentelemetry-exporter-jaeger-proto-grpc
WarningSince v1.35, the Jaeger supports OTLP natively. Please use the OTLP exporter instead.
Support for this exporter will end July 2023.This package is no longer being tested.This library allows to export tracing data toJaeger.Installationpip install opentelemetry-exporter-jaeger-proto-grpcConfigurationOpenTelemetry Jaeger Exporter can be configured by settingJaegerExporter parametersor by settingenvironment variablesReferencesOpenTelemetry Jaeger ExporterJaegerOpenTelemetry Project
Package: opentelemetry-exporter-jaeger-thrift
WarningSince v1.35, the Jaeger supports OTLP natively. Please use the OTLP exporter instead.
Support for this exporter will end July 2023.This package is no longer being tested.This library allows to export tracing data toJaegerusing Thrift.Installationpip install opentelemetry-exporter-jaeger-thriftConfigurationOpenTelemetry Jaeger Exporter can be configured by settingJaegerExporter parametersor by settingenvironment variablesReferencesOpenTelemetry Jaeger ExporterJaegerOpenTelemetry Project
Package: opentelemetry-exporter-otlp
This library is provided as a convenience to install all supported OpenTelemetry Collector Exporters. Currently it installs:opentelemetry-exporter-otlp-proto-grpcopentelemetry-exporter-otlp-proto-httpIn the future, additional packages will be available:
* opentelemetry-exporter-otlp-json-httpTo avoid unnecessary dependencies, users should install the specific package once they’ve determined their
preferred serialization and protocol method.Installationpip install opentelemetry-exporter-otlpReferencesOpenTelemetry Collector ExporterOpenTelemetry CollectorOpenTelemetryOpenTelemetry Protocol Specification
Package: opentelemetry-exporter-otlp-custom
This library is provided as a convenience to install all supported OpenTelemetry Collector Exporters. Currently it installs:opentelemetry-exporter-otlp-proto-grpcopentelemetry-exporter-otlp-proto-httpIn the future, additional packages will be available:
* opentelemetry-exporter-otlp-json-httpTo avoid unnecessary dependencies, users should install the specific package once they’ve determined their
preferred serialization and protocol method.Installationpip install opentelemetry-exporter-otlpReferencesOpenTelemetry Collector ExporterOpenTelemetry CollectorOpenTelemetryOpenTelemetry Protocol Specification
Package: opentelemetry-exporter-otlp-proto-common
This library is provided as a convenience to encode to Protobuf. Currently used by:opentelemetry-exporter-otlp-proto-grpcopentelemetry-exporter-otlp-proto-httpInstallationpip install opentelemetry-exporter-otlp-proto-commonReferencesOpenTelemetryOpenTelemetry Protocol Specification
Package: opentelemetry-exporter-otlp-proto-grpc
This library allows to export data to the OpenTelemetry Collector using the OpenTelemetry Protocol using Protobuf over gRPC.Installationpip install opentelemetry-exporter-otlp-proto-grpcReferencesOpenTelemetry Collector ExporterOpenTelemetry CollectorOpenTelemetryOpenTelemetry Protocol Specification
Package: opentelemetry-exporter-otlp-proto-grpc-custom
This library allows to export data to the OpenTelemetry Collector using the OpenTelemetry Protocol using Protobuf over gRPC.Installationpip install opentelemetry-exporter-otlp-proto-grpcReferencesOpenTelemetry Collector ExporterOpenTelemetry CollectorOpenTelemetryOpenTelemetry Protocol Specification
Package: opentelemetry-exporter-otlp-proto-http
This library allows to export data to the OpenTelemetry Collector using the OpenTelemetry Protocol using Protobuf over HTTP.Installationpip install opentelemetry-exporter-otlp-proto-httpReferencesOpenTelemetry Collector ExporterOpenTelemetry CollectorOpenTelemetryOpenTelemetry Protocol Specification
Package: opentelemetry-exporter-prometheus-remote-write
This package contains an exporter to send metrics from the OpenTelemetry Python SDK directly to a Prometheus Remote Write integrated backend
(such as Cortex or Thanos) without having to run an instance of the Prometheus server.Installationpip install opentelemetry-exporter-prometheus-remote-writeReferencesOpenTelemetry ProjectPrometheus Remote Write Integration
Package: opentelemetry-exporter-zipkin
This library is provided as a convenience to install all supported OpenTelemetry Zipkin Exporters. Currently it installs:
* opentelemetry-exporter-zipkin-json
* opentelemetry-exporter-zipkin-proto-httpIn the future, additional packages may be available:
* opentelemetry-exporter-zipkin-thriftTo avoid unnecessary dependencies, users should install the specific package once they’ve determined their
preferred serialization method.Installationpip install opentelemetry-exporter-zipkinReferencesOpenTelemetry Zipkin ExporterZipkinOpenTelemetry Project
Package: opentelemetry-ext-honeycomb-samplers
opentelemetry-samplers-pythonNOTE: This is experimental and is subject to change alotor go away entirely. Use with caution.Honeycomb Samplers for use with the OpenTelemetry Python SDKSamplersDeterministic SamplerThis is a port of the deterministic sampler included in ourPython Beeline. To use it, just instantiate it with a sample rate:fromopentelemetryimporttracefromopentelemetry.sdk.traceimportTracerProviderfromopentelemetry.sdk.trace.exportimport(ConsoleSpanExporter,SimpleExportSpanProcessor,)fromopentelemetry.ext.honeycomb.samplingimportDeterministicSamplersampler=DeterministicSampler(5)# every trace has a 20% chance of being sampledtrace.set_tracer_provider(TracerProvider(sampler=sampler))trace.get_tracer_provider().add_span_processor(SimpleExportSpanProcessor(ConsoleSpanExporter()))tracer=trace.get_tracer(__name__)withtracer.start_as_current_span("Test span"):withtracer.start_as_current_span("bar"):withtracer.start_as_current_span("baz"):print("Hello world from OpenTelemetry Python!")