Pandas
Showing 36 of 91 projects
A Python library implementing over 80 financial technical indicators using Pandas for trading analysis.
A Python library for feature engineering and selection with scikit-learn compatible transformers.
An open-source Python library for low-code data preparation, offering fast EDA, data cleaning, and collection from APIs and databases.
Automatically visualize any dataset with a single line of code, including data quality assessment and fixes.
A curated collection of 500+ resources for data analysis and data science, covering Python, SQL, ML, visualization, roadmaps, and interview prep.
A Python library for agile data preparation workflows that works with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and PySpark.
Python library providing clean, chainable functions for data cleaning and manipulation with pandas DataFrames.
A Python library for calculating common financial risk and performance metrics used in quantitative finance.
A pandas DataFrame wrapper for calculating over 70 stock market indicators and statistics with inline column access.
A Python plotting library that generates interactive D3.js visualizations from pandas DataFrames.
A visual, low-code data preparation tool that generates Python code for ETL, reporting, and AI-assisted workflows.
Query pandas DataFrames using SQL syntax, similar to sqldf in R.
A lightweight and intuitive Go library for data manipulation, statistics, and machine learning using DataFrames.
A collection of Jupyter notebooks for financial economics, providing high-level APIs to retrieve, analyze, and visualize economic data from sources like FRED.
A cleaned and normalized time series dataset of global COVID-19 confirmed cases, deaths, and recoveries, updated daily.
Display Pandas and Polars DataFrames as interactive, sortable, and searchable DataTables in Jupyter notebooks and Python applications.
A collection of IPython notebooks demonstrating data analysis and machine learning techniques on security datasets.
A Python library that brings R's dplyr data manipulation syntax to pandas DataFrames using a pipe operator.
Easy pipelines for pandas DataFrames.
A Python library for comparing Pandas, Polars, Spark, and Snowpark DataFrames with detailed reporting and flexible matching.
A Python library that automates the tedious parts of exploratory data analysis with cleaning, feature engineering, visualization, and versioning.
A modular multi-modal transactional database for AI and semantic search, replacing MongoDB, Neo4J, and Elastic with a single ACID solution.
A tutorial series comparing how to implement data science concepts and build applications in both Python and R ecosystems.
A VS Code extension for visually exploring, cleaning, and transforming tabular data with automatic Pandas code generation.
An engine for ML/data tracking, visualization, explainability, drift detection, and dashboards, integrated with Polyaxon.
A lightweight Python tool for generating rich summary statistics of pandas and Polars dataframes directly in the console.
An overlay companion for pandas that provides real-time hints and tips to improve data analysis code.
A Python toolkit for processing tabular data
A Python library that provides a Pandas-like API on top of Apache Spark DataFrames for distributed data analysis.
A Python devkit for loading, exploring, and manipulating the PandaSet, a large-scale autonomous driving dataset with LiDAR, camera, and annotations.
A comprehensive scientific computing and AI/ML library in pure Rust, offering SciPy-compatible APIs with 10-100x performance gains.
A Python toolkit for text-focused data science on medium-sized datasets, bridging memory and cluster-scale processing.
A Python package for automated univariate and bivariate data analysis and visualization to streamline machine learning workflows.
A Clojure library providing data-frames and arrays through Python's pandas and numpy.
A fast, forgiving GTFS reader built on pandas DataFrames
A Python library for blazing-fast, memory-efficient genomics data operations using DataFrames.
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