Reverse Dependencies of pyspark

The following projects have a declared dependency on pyspark:

• highcharts-stock — High-end Time Series Data Visualization for the Python Ecosystem
• histogrammar — Composable histogram primitives for distributed data reduction
• historian-query — Query regularized time series from raw historian data on Spark
• hops-petastorm — Petastorm is a library enabling the use of Parquet storage from Tensorflow, Pytorch, and other Python-based ML training frameworks. This is a fork of Petastorm that is compatible with Hops installations
• hopsworks — Hopsworks Python SDK to interact with Hopsworks Platform, Feature Store, Model Registry and Model Serving
• hotpp-benchmark — Evaluate generative event sequence models on the long horizon prediction task.
• HTF_PythonProjectTest — Sample Python Project for creating a new Python Module
• hummingbird-ml — Convert trained traditional machine learning models into tensor computations
• husqvarna-getl — An elegant way to ETL'ing
• hyperleaup — Create and publish Tableau Hyper files from Apache Spark DataFrames and Spark SQL.
• hyperopt — Distributed Asynchronous Hyperparameter Optimization
• ibis-framework — The portable Python dataframe library
• iguanas — Rule generation, optimisation, filtering and scoring library
• iMapHub — Library created to map two Dataset
• in-dbt-spark — Release for LinkedIn's changes to dbt-spark.
• inference-schema — This package is intended to provide a uniform schema for common machine learning applications, as well as a set of decorators that can be used to aid in web based ML prediction applications.
• infra2conn — Infra 2.0 Connections
• intake-hive — Intake Hive DataSource Plugin.
• intake-spark — Apache Spark plugin for Intake
• internet — Python library for working with IP addresses and other internet related functionalities
• ipyvizzu — Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
• irf — irf
• japanAirAnalytics — This software is being developed at the University of Aizu, Aizu-Wakamatsu, Fukushima, Japan
• jayspytools — no summary
• jeremydimond.pymlga — Python machine learning by genetic algorithm
• jgbpacking — PACKAGE MODELO CLASIFICACION WINE
• jgbpackinx — PACKAGE MODELO CLASIFICACION WINE
• jhdfs4py — Convenient HDFS access using the Java HDFS client
• jmetalpy — Python version of the jMetal framework
• jobsworthy — no summary
• johnsnowlabs — The John Snow Labs Library gives you access to all of John Snow Labs Enterprise And Open Source products in an easy and simple manner. Access 10000+ state-of-the-art NLP and OCR models for Finance, Legal and Medical domains. Easily scalable to Spark Cluster
• johnsnowlabs-by-kshitiz — The John Snow Labs Library gives you access to all of John Snow Labs Enterprise And Open Source products in an easy and simple manner. Access 10000+ state-of-the-art NLP and OCR models for Finance, Legal and Medical domains. Easily scalable to Spark Cluster
• johnsnowlabs-my-mehmet — The John Snow Labs Library gives you access to all of John Snow Labs Enterprise And Open Source products in an easy and simple manner. Access 10000+ state-of-the-art NLP and OCR models for Finance, Legal and Medical domains. Easily scalable to Spark Cluster
• johnsnowlabs-tmp — The John Snow Labs Library gives you access to all of John Snow Labs Enterprise And Open Source products in an easy and simple manner. Access 10000+ state-of-the-art NLP and OCR models for Finance, Legal and Medical domains. Easily scalable to Spark Cluster
• json2spark-mapper — Maps JSON schema types to Spark SQL types
• jsonSpark — This is a wrapper package for pyspark to process json files. It pythonifies the json pyspark object.
• jupysql — Better SQL in Jupyter
• jupyterlab-sparkmonitor — Spark Monitor Extension for Jupyter Lab
• kagglebh — Analyze kaggle dataset: climate-change-earth-surface-temperature
• katonic — A modern, enterprise-ready MLOps Python SDK
• kcommon — Sample Python Project for creating a new Python Module
• kedro-datasets — Kedro-Datasets is where you can find all of Kedro's data connectors.
• kedro-great — Kedro Great makes integrating Great Expectations with Kedro easy!
• kedro-pandera — A kedro plugin to use pandera in your kedro projects
• kedro-popmon — Kedro Popmon makes integrating Popmon with Kedro easy!
• kgdata — Library to process dumps of knowledge graphs (Wikipedia, DBpedia, Wikidata)
• kgf — KGF feature engineering package
• Kivi — A risk control modeling tool python package.
• kloppy-spark — Spark Tools to work with Kloppy
• koalas — Koalas: pandas API on Apache Spark
• kobai-sdk — A package that enables interaction with a Kobai tenant.
• koheesio — The steps-based Koheesio framework
• kozmoserver-mllib — Spark MLlib runtime for KozmoServer
• kumuniverse — Data team shared library for accessing services
• kurveclient — A client for the Kurve backend.
• kustopy — Query and Ingestion Client for Azure using Python
• l2-data-utils — no summary
• labelspark — Labelbox Connector for Databricks
• lake-loader — no summary
• lakehouse-engine — A configuration-driven Spark framework serving as the engine for several lakehouse algorithms and data flows.
• laktory — A DataOps framework for building a lakehouse
• lale — Library for Semi-Automated Data Science
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-by-johnsnowlabs — Building applications with LLMs through composability
• langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
• langchaincoexpert — Building applications with LLMs through composability
• langchainmsai — Building applications with LLMs through composability
• langchainn — Building applications with LLMs through composability
• langplus — Building applications with LLMs through composability
• layer-client — The Layer Client
• learnstdio — Learnstdio for Python
• lexios — Sample Python Project for creating a new Python Module
• liga — no summary
• ligavision — no summary
• lingualeo-sqlmesh — no summary
• litenai — Python library for Liten AI Data platform
• llm-explorer — A Lakehouse LLM Explorer. Wrapper for spark, databricks and langchain processes
• localstack-s3-pyspark — A CLI to configure pyspark for use with s3 on localstack
• loinchpo — A library to transform loinc measurements into hpo terms.
• longalpha-utils — no summary
• luisy — Framework to build data pipelines
• luminex — On the Fly ETL application
• luntaiDs — Make Data Scientist life Easier Tool
• luq89-pyspark-app-luq89 — Sample app in PyPI
• mAdvisor — An automated AI/ML solution from Marlabs
• maggy — Efficient asynchronous optimization of expensive black-box functions on top of Apache Spark
• manifestare — Simple, fluent, and descriptive API to explicit DataFrames expectations.
• mapGlobaltoLocal — Library created to map two Dataset
• markdown_frames — Markdown tables parsing to pyspark / pandas DataFrames
• mars-gym — Framework Code for the RecSys 2020 entitled 'MARS-Gym: A Gym framework to model, train, and evaluate recommendationsystems for marketplaces'.
• MD2K-Cerebral-Cortex — Backend data analytics platform for MD2K software
• mdspy — Mnubo Data Science Library
• mega-spark — Some computing tools about feature tool and ml model.
• meliora — Credit risk validation and development tools
• memoria — Python library of hashing and caching
• mercury-ml — A library for managing Machine Learning workflows
• merlin-batch-predictor — Base PySpark application for running Merlin prediction batch job
• mindlab — Data science toolbox
• Mits-AI-Dreamers — This is Hamming distance, Jaccard coefficient, overlap
• mk-feature-store — Python SDK for Feast