Reverse Dependencies of pyspark

The following projects have a declared dependency on pyspark:

• trawler-on-lake — no summary
• treemodel2sql — tree model transform to sql
• tuberia — Tuberia... when data engineering meets software engineering
• turntable-spoonbill — Productivity-centric Python Big Data Framework
• TweetsAnalysis — Real Time Tweets Analysis.
• typedspark — Column-wise type annotations for pyspark DataFrames
• typefu — A type casting guru from your data sources and data formats
• unionstation — Big ML/DL dataset processing station
• userstory8020 — test assignment
• valdata — A Python package for validating data consistency
• valido — PySpark dataframes based workflow validator
• vangap-meliora — Sample Python Project for creating a new Python Module
• vangap-meliora1 — Credit risk development and validation tools
• vecspark — A PySpark-based library for vector similarity and distance computations.
• vectice — Vectice Python library
• vectorcraft — A custom library extending LangChain functionality.
• ventiotools — Tools for usage in the Vent.io ecosystem
• vera-testframework — Testframework voor VERA referentiedata
• VerifyData — VerifyData is an intuitive library focused on data quality assessment, offering automated checks for completeness, consistency, and accuracy to guarantee high standards across your data flows.
• vevestaX — Stupidly simple library to track machine learning experiments as well as features
• vineyard-pyspark — Vineyard integration with PySpark
• visions — Visions
• vivqu — Easier data analysis and visualization based on pydeequ
• vtb-biname — A binary organization/ individual name classification library for PySpark
• waterfall-logging — Waterfall statistic logging for data quality or filtering steps.
• whylogs — Profile and monitor your ML data pipeline end-to-end
• wicker — An open source framework for Machine Learning dataset storage and serving
• XalExtractor — servicios para extractores
• xdbutils — Utilities for Databricks
• xedro — Kedro helps you build production-ready data and analytics pipelines
• xgboost — XGBoost Python Package
• xgboost-cpu — XGBoost Python Package
• xgboost2sql — Convert the trained xgboost model to sql
• xurpas-data-quality — XAIL Data quality
• xursparks — Encapsulating Apache Spark for Easy Usage
• yetl-framework — yet (another spark) etl framework
• yvestest — An open-source simplifies ETL workflow with Python based on Spark
• zat — Zeek Analysis Tools
• zdatasets — Dataset SDK for consistent read/write [batch, online, streaming] data.
• zgl-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
• zlai — A LLM Agent Python package.
• zstreams — Zeek Analysis Tools
• zzingestions — ZZIngestions is a powerful Python package that uses PySpark to transform data ingestion into a fluid and efficient process. It allows performing ETL operations in a scalable and intuitive way, improving the robustness and agility of data flows.