Reverse Dependencies of findspark

The following projects have a declared dependency on findspark:

• anovos — An Open Source tool for Feature Engineering in Machine Learning
• archetype-core-nlp — no summary
• data-ecosystem-python — Program Agnostic Data Ecosystem (PADE) - Python Services
• data-ecosystem-services — Program Agnostic Data Ecosystem (PADE) - Python Services
• dlflow — no summary
• etiya-ie — Etiya Bilgi Teknolojisi ve Hizmetleri için Intern sürecinde yazılan fonksiyonları içerir.
• fifeforspark — Finite-Interval Forecasting Engine for Spark: Machine learning models for discrete-time survival analysis and multivariate time series forecasting for Apache Spark
• FSI-DQ — DQ Solution to answer all DQ needs.
• FSI-DQ-Fabric — DQ Solution to answer all DQ needs.
• handyspark — HandySpark - bringing pandas-like capabilities to Spark dataframes
• marvin-python-common — Marvin Python Common Library
• marvin-python-toolbox — Marvin Python Toolbox
• merlin-batch-predictor — Base PySpark application for running Merlin prediction batch job
• myetljob-run — My first ETL library
• nose2-spark — nose2 plugin to run the tests with support of pyspark.
• oarphpy — A collection of Python utils with an emphasis on Data Science
• ODP-DQ — DQ Solution to answer all DQ needs.
• packyak — Infrastructure for AI applications and machine learning pipelines
• picklepie — a Python Package
• pybda — Analysis of big biological data sets for distributed HPC clusters.
• pyemr — A lightweight package for running poetry projects on emr.
• pyoptimus — Optimus is the missing framework for cleaning and pre-processing data in a distributed fashion.
• pypanabi-tools — Shared Python functions for OLX Business Intelligence Team
• pyseqtender — Distributed NGS pipelines made easy
• pysequila — An SQL-based solution for large-scale genomic analysis
• pyspark-hnsw — no summary
• pysparkrpc — Seamlessly run Pyspark code on remote clusters.
• pytest-spark — pytest plugin to run the tests with support of pyspark.
• rondsspark — ronds spark sdk
• sparglim — sparglim
• spark-dataframe-tools — spark_dataframe_tools
• spark-generated-rules-tools — spark_generated_rules_tools
• spark-hdfs-tools — spark_hdfs_tools
• spark-plotting-tools — spark_plotting_tools
• spark-quality-rules-tools — spark_quality_rules_tools
• spark-scaffolder-transforms-tools — spark_scaffolder_transforms_tools
• spark-sdk — Function to help Data Scientist work more effectively with DWH
• sparksampling — pyspark-sampling
• spirograph — A tool to help building ML pipeline easier for non technical users..
• sql_magic — no summary
• testaton — A command line tool to allow the testing of datasets
• xinstall — Easy Cross-platform Installation and Configuration of Apps.