Extremely fast Query Engine for DataFrames, written in Rust
- dataframe-library
- dataframe
- dataframes
- rust
Repository Index
47,133 repositories indexed
1–24 of 30 · Most stars
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
cuDF - GPU DataFrame Library
- gpu
- rapids
- cudf
- arrow
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
the portable Python dataframe library
Automatically visualize your pandas dataframe via a single print! 📊 💡
- visualization-tools
- jupyter
- python
- data-science
Java dataframe and visualization library
- dataframe
- data-frame
- java
- java-dataframe
Koalas: pandas API on Apache Spark
Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- pandas
- pandas-dataframe
- parallel-computing
- parallelization
Lightweight and extensible compatibility layer between dataframe libraries!
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
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
Python DataFrames as Interactive DataTables
Easy pipelines for pandas DataFrames.
The foundational library of the Morpheus data science framework
- datascience
- data-analysis
- data-analytics
- regression
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.