Extremely fast Query Engine for DataFrames, written in Rust
- dataframe-library
- dataframe
- dataframes
- rust
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Extremely fast Query Engine for DataFrames, written in Rust
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
The Universal Storage Engine
Python Streaming DataFrames for Kafka
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Cloud-native genomic dataframes and batch computing
Python DataFrames as Interactive DataTables
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Easy pipelines for pandas DataFrames.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
A fast, forgiving GTFS reader built on pandas DataFrames
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
A plugin for neovim to render pandas dataframes in nvim-dap using the power of visidata.
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.