Reverse Dependencies of py4j

The following projects have a declared dependency on py4j:

• ai2xl — ai2xl is a free Python library that allows using Excel for ML data preparation, zero dependency ML model deployment, model debugging, model explainability and collaboration.
• ai2xlcore — ai2xl is a free Python library that allows using Excel for ML data preparation, zero dependency ML model deployment, model debugging, model explainability and collaboration.
• aironsuit — A model wrapper for automatic model design and visualization purposes.
• alpyperl — An open source library for connecting AnyLogic models with Reinforcement Learning frameworks through OpenAI Gymnasium
• anovos — An Open Source tool for Feature Engineering in Machine Learning
• apache-dolphinscheduler — pydolphinscheduler is Apache DolphinScheduler Python API.
• apache-flink — Apache Flink Python API
• asphalt-py4j — Py4J integration component for the Asphalt framework
• atoti-client — Code to interact with an Atoti session
• auto-surprise — A python package that automates algorithm selection and hyperparameter tuning for the recommender system library Surprise
• beakerx-kernel-autotranslation — BeakerX: Beaker Extensions for Jupyter Notebook
• bodo-iceberg-connector — Bodo Connector for Iceberg
• calculator-sdk — A simple calculator SDK
• carl-bench — CARL- Contextually Adaptive Reinforcement Learning
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• confluent-flink-table-api-python-plugin — Confluent Apache Flink Table API Python
• databricks-connect — Databricks Connect Client
• datarobot-mlops — datarobot-mlops library to read and report MLOps statistics
• datarobot-predict — DataRobot Prediction Library
• doorpj-test — Can use it to save or recall preferences from Python.
• dqlauncher — DataQuality functions over pyspark.sql SparkSession and DataFrame
• dqvalidator — Quality functions over PySpark DataFrames
• dreem — DREEM solves RNA structure ensembles using chemical probing data
• EgyVoc — Vocalizer for Ancient Egyptian
• exelog — Enabling meticulous logging for Spark Applications
• fast-causal-inference — fast causal inference package
• feathr — An Enterprise-Grade, High Performance Feature Store
• fiware-pyspark-connector — Connects FIWARE Context Brokers with fiware_pyspark_connector
• gatenlp — GATE NLP implementation in Python.
• genie_python — Instrument control & scripting for the ISIS Neutron & Muon source
• geniusrise — An LLM framework
• ggml — GridGain ML Python API
• ginsim — Python interface to GINsim and BioLQM API
• gnuper — Open Source Package for Mobile Phone Metadata Preprocessing
• hyperopt — Distributed Asynchronous Hyperparameter Optimization
• javac-parser — Exposes the OpenJDK Java parser and scanner to Python
• jsonSpark — This is a wrapper package for pyspark to process json files. It pythonifies the json pyspark object.
• jupiter-negotiation — Simulator for automated negotiation
• kazu — Biomedical Named Entity Recognition and Entity Linking for Enterprise use cases
• kcommon — Sample Python Project for creating a new Python Module
• keanu — A probabilistic approach from an Improbabilistic company
• kedro-popmon — Kedro Popmon makes integrating Popmon with Kedro easy!
• klay4py — KLAY4py is for python user considering to use KLAY.
• koalanlp — Python wrapper for KoalaNLP
• lakehouse-engine — A configuration-driven Spark framework serving as the engine for several lakehouse algorithms and data flows.
• liga — no summary
• llm-explorer — A Lakehouse LLM Explorer. Wrapper for spark, databricks and langchain processes
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• longalpha-utils — no summary
• luq89-pyspark-app-luq89 — Sample app in PyPI
• ml-comp — An engine for running component based ML pipelines
• ml-ops — A library to read and report MLApp statistics
• mlpiper — An engine for running component based ML pipelines
• mmtfPyspark — Methods for parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark
• musket-core — The core of Musket ML
• negmas — NEGotiations Managed by Agent Simulations
• NL4Py — A NetLogo connector for Python.
• nolanm-portfolio-package — no summary
• nutter — A databricks notebook testing library
• oakx-robot — no summary
• OLIVER — Convenience functions for interacting with the OLIVER workspace
• ophelia-spark — Ophelia is a spark miner AI engine that builds data mining & ml pipelines with PySpark.
• ophelian — Ophelian is a go-to framework for seamlessly putting ML & AI prototypes into production.
• Orange3-spark — A series of Widgets for Orange3 to work with Spark ML
• osgiservicebridge — OSGi services implemented in Python
• paimon-python — Apache Paimon Python API
• palantir.spark.time — no summary
• py-hiverunner — Python API for unittest Hive applications
• py4phi — A library for encryption/decryption and analysis of sensitive data.
• PyBacmman — Utilities for analysis of data generated from bacmman software
• pycsp3 — Modeling Constrained Combinatorial Problems in Python
• pydisconet — analyzing the co-authorship network of researchers in the field of biology
• pygw — GeoWave bindings for Python3
• pyhdfs-client — A py4j based hdfs client for python for native hdfs CLI performance.
• pyjxslt-user-defined-address — Python XSLT 2.0 Gateway
• pymlsql — MLSQL Python API
• pyotm — Python connector for OTM
• pyraphtory — Raphtory - Temporal Graph Analytics Platform. This is the Python version of the library.
• pyrasterframes — Access and process geospatial raster data in PySpark DataFrames
• pyspark-json-loader — A package to load and preprocess JSON data using PySpark
• pysparklib — A elaborate and developed PySpark libraries and resources.
• pytispark — TiSpark support for python
• qsmap — Package provides functionality for working with geographical data, routing, and mapping
• quartic-sdk — QuarticSDK is the SDK package which exposes the APIs to the user
• quartic-sdk-gsk — QuarticSDK is the SDK package which exposes the APIs to the user
• reina — A Causal Inference library for Big Data.
• robotframework-sikulixlibrary — Robot Framework SiluliX library powered by SikuliX Java library and JPype or Py4J Python modules.
• sagas — sagas ai stack
• salang — A langpack package
• salesforce-merlion — Merlion: A Machine Learning Framework for Time Series Intelligence
• sensor-dataset — Put a description
• sfcli — web-platform command tools
• smlb — Scientific Machine Learning Benchmark
• sparkautomapper — AutoMapper for Spark
• sparkautomapper.fhir — FHIR extensions for SparkAutoMapper
• sparkdataframecomparer — Deep Comparer for Spark Data Frames
• sparklanes — A lightweight framework to build and execute data processing pipelines in pyspark (Apache Spark's python API)
• steam-pysigma — This is python wrapper of STEAM SIGMA code
• streaming-jupyter-integrations — JupyterNotebook Flink magics
• swh.graph — Software Heritage graph service