Pandas
Showing 19 of 91 projects
A Python package for processing and normalizing high-dimensional morphological feature data from high-throughput cell imaging experiments.
A Python histogram library offering updateable, semantic histogram objects with multiple visualization backends and data source support.
A Python library implementing fairness-aware machine learning algorithms for measuring and mitigating discrimination in predictive models.
An open-source data pipeline that aggregates and standardizes heterogeneous public COVID-19 data from multiple global sources.
A pandas-based Python library for calculating weighted statistics like means, medians, standard deviations, and distributions.
A lightweight Python parser for EDI 835 Health Care Claim Payment and Remittance Advice files.
An easy-to-use Python feature store for machine learning, optimized for timeseries data and built on Dask.
Lightweight DataFrame validation decorators for pandas, Polars, Modin, and PyArrow with no custom types required.
A next-generation data analysis library for Go, offering parallel processing, data visualization, and seamless Python integration as an alternative to Pandas.
A Neovim plugin that renders pandas dataframes in nvim-dap debugging sessions using VisiData.
Universal 1D/2D data containers with sklearn-compatible transformers for heterogeneous tabular data analysis.
A workflow engine that unifies feature engineering and machine learning using a column-oriented data processing paradigm.
Python analytics framework for accessing and visualizing data from Corda DLT nodes and vaults.
Adds a one-click copy button to pandas DataFrames in Jupyter notebooks for easy pasting into spreadsheets.
A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
A lightweight Python backtesting framework for Ethereum moving-average trading strategies using Pandas and NumPy.
Python package providing one-line access to 38+ open research datasets from Latin America.
A machine learning project that predicts heart disease risk using various classification models on clinical data.
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