Saravanan666/pypi-org huggingface dataset:
Package: h2o-pysparkling-scoring-2.2
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-2.3
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-2.4
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-3.0
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-3.1
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-3.2
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-3.3
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-3.4
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-pysparkling-scoring-3.5
This package contains just functionality for scoring with Sparkling Water, H2O-3 and Driverless AI MOJO models.Documentation describing scoring with H2O-3 MOJO models is located at:For Spark 3.5 -https://docs.h2o.ai/sparkling-water/3.5/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo.htmlDocumentation describing scoring with Driverless AI MOJO models is located at:For Spark 3.4 -https://docs.h2o.ai/sparkling-water/3.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.3 -https://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.2 -https://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.1 -https://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 3.0 -https://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.4 -https://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.3 -https://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/deployment/load_mojo_pipeline.htmlFor Spark 2.2 -https://docs.h2o.ai/sparkling-water/2.2/latest-stable/doc/deployment/load_mojo_pipeline.html
Package: h2o-q
H2O Q is a lightweight software stack for programming interactive web applications
entirely in Python (no HTML/Javascript/CSS) required.It is designed to make it fast, fun and easy to build low-latency, realtime,
collaborative, web-based applications. It ships batteries-included with
a suite of form and data visualization components for rapidly prototyping
analytical and decision-support applications.Q’s components work in conjunction with the Q relay server that facilitates
realtime state synchronization between Python and web browsers.InstallingInstall and update usingpip:pip install -U h2o-qHello worldhello.py:fromh2o_qimportsite,ui# Access the web page at http://localhost:55555/demopage=site['/demo']# Add some content.page['example']=ui.markdown_card(box='1 1 2 2',title='Hello World!',content='And now for something completely different.',)# Save the pagepage.save()Runhello.py:$ python hello.pyLinksWebsite:https://www.h2o.ai/h2o-q/Releases:https://pypi.org/project/h2o-q/Documentation:https://h2oai.github.io/qd/Code:https://github.com/h2oai/qdIssue tracker:https://github.com/h2oai/qd/issues
Package: h2o-wave
H2O Wave is a lightweight software stack for programming interactive web applications
entirely in Python (no HTML/Javascript/CSS required).It is designed to make it fast, fun and easy to build low-latency, realtime,
collaborative, web-based applications. It ships batteries-included with
a suite of form and data visualization components for rapidly prototyping
analytical and decision-support applications.Wave’s components work in conjunction with the Wave relay server that facilitates
realtime state synchronization between Python and web browsers.InstallingInstall and update usingpip:pip install -U h2o-waveHello worldhello.py:fromh2o_waveimportmain,app,Q,ui@app('/')asyncdefserve(q:Q):q.page['hello']=ui.markdown_card(box='1 1 3 3',title='Hello world!',content='Welcome to Wave!')awaitq.page.save()Runhello.py:$ wave run hello.pyLinksWebsite:https://wave.h2o.ai/Releases:https://pypi.org/project/h2o-wave/Code:https://github.com/h2oai/waveIssue tracker:https://github.com/h2oai/wave/issues
Package: h2o-wave-ml
Automatic Machine Learning (AutoML) for Wave AppsWave ML (h2o-wave-ml) is a companion package for H2O Wave that makes it quick and easy to integrate AI/ML models into your applications.Wave ML provides a simple, high-level API for training, deploying, scoring and explaining machine learning models, letting you build predictive and decision-support applications entirely in Python.Wave ML runs on Linux, OSX, and Windows, and utilizesH2O.ai'sopen-sourceH2OandAutoMLunder the hood.When Wave apps are run inH2O AI Hybrid Cloudwith GPU support, Wave ML optionally switches over toDriverless AIfor automatic feature engineering, machine learning, model deployment, and monitoring.
Package: h2o-wave-university
Wave universityWave University is an interactive tutorial app forH2O Waveframework and is aimed at anyone wanting to start developing web apps with nothing but Python.This app includes a dozen lessons that explain the base concepts necessary for developing apps with H2O Wave. We highly encourage you to go over the tutorial hand in hand with theofficial docsto get the most information possible.Each lesson explains a single topic and shows a short demonstration example. The example code is editable and we highly encourage playing around with it and doing your experiments to see how things work. Moreover, most of the lessons also contain a small optional exercise for you to reinforce the newly acquired knowledge.Installation# Create a virtual env.python-mvenvvenv# Activate virtual env (.\venv\Scripts\activate for Windows)venv/bin/activate# Install h2o-wave-university.pipinstallh2o-wave-university# Run it.wave-universityOnce both of the above steps are complete, you can go tohttp://localhost:10101in your favorite browser to start learning!
Package: h2rs
h2rsDetects request smuggling via HTTP/2 downgrades.RequirementsPython 3.xPython Modulesbase64syssocketsslcertifih2.connectionh2.eventsargparseInstall$ pip3 install h2rsUsage$ h2rs
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version 0.0.1
Error: requires target parameter.
usage: h2rs [-h] [-t TARGET] [-p PORT] [-m TIMEOUT] [-u USER_AGENT]

Detects request smuggling via HTTP/2 downgrades.

optional arguments:
  -h, --help            show this help message and exit
  -t TARGET, --target TARGET
                        Target server hostname (eg. www.example.com).
  -p PORT, --port PORT  Server TCP port to connect over TLS (default 443).
  -m TIMEOUT, --timeout TIMEOUT
                        Set connection timeout for request smuggling test (default 5).
  -u USER_AGENT, --user_agent USER_AGENT
                        Set default User-Agent request header (default "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69
                        Safari/537.36").Example$ h2rs -t ac971f5e1e77d74fc0555ed900ed00eb.web-security-academy.net
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| |_|_  |___ ___ 
|   |  _|  _|_ -|
|_|_|___|_| |___|

version 0.0.1
Making a GET HTTP2 request to ac971f5e1e77d74fc0555ed900ed00eb.web-security-academy.net:443 ...
Got response status code 200.
Detecting H2.CL request smuggling ...
Not potencial vulnerable to H2.CL request smuggling.
Detecting H2.CL (CRLF) request smuggling ...
Not potencial vulnerable to H2.CL (CRLF) request smuggling.
Detecting H2.TE request smuggling ...
Not potencial vulnerable to H2.TE request smuggling.
Detecting H2.TE (CRLF) request smuggling ...
[!] Potencial vulnerable to H2.TE (CRLF) request smuggling.
Detecting HTTP/2 request tunnelling ...
Not potencial vulnerable to HTTP/2 request tunnelling.AuthorRicardo Iramar dos Santos