Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
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A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
- redash
- python
- visualization
- analytics
Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
This repository contains implementations and illustrative code to accompany DeepMind publications
Statistical data visualization in Python
Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
cuDF - GPU DataFrame Library
- gpu
- rapids
- cudf
- arrow
the portable Python dataframe library
Automatically visualize your pandas dataframe via a single print! 📊 💡
- visualization-tools
- jupyter
- python
- data-science
Missing data visualization module for Python.
- missing-data
- data-visualization
- data-analysis
- pandas
Koalas: pandas API on Apache Spark
NumPy and Pandas interface to Big Data
Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
Pandas integration with sklearn
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- pandas
- pandas-dataframe
- parallel-computing
- parallelization
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
- graph
- visualization
- gpu
- graphistry
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.
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