Python Streaming DataFrames for Kafka
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Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Clean APIs for data cleaning. Python implementation of R package Janitor
- pandas
- dataframe
- data
- cleaning-data
Jupyter magics and kernels for working with remote Spark clusters
[DISCONTINUED] Collection of awesome resources for the A-Frame WebVR framework.
- aframe
- webvr
- virtual-reality
- virtualreality
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
- golang
- go
- data-science
- machine-learning
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
- apache-spark
- big-data
- connected-components
- dataframe
Cloud-native genomic dataframes and batch computing
- genetics
- vcf
- genomics
- gwas
Python DataFrames as Interactive DataTables
Essential Spark extensions and helper methods ✨😲
- spark
- dataframe
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Easy pipelines for pandas DataFrames.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
DAO oriented database mapping framework for Java
- java
- annotation-processor
- jdbc
- dao
An experimental embedded SQL engine in C++20. Query Parquet, CSV, JSON, Arrow, Avro, SQLite, and Excel files directly with SQL, in-process. Early-stage.
The foundational library of the Morpheus data science framework
- datascience
- data-analysis
- data-analytics
- regression
A fast, forgiving GTFS reader built on pandas DataFrames
The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
High performance, editable, stylable datagrids in jupyter and jupyterlab
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
- feature-engineering
- transformers
- pre-processing
- data-science
Package providing functionality similar to Python's Pandas or R's data.frame()
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.