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Visualize and compare datasets, target values and associations, with one line of code.
High performance datastore for time series and tick data
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
AI code-writing assistant that understands data content
Common financial technical indicators implemented in Pandas.
Python AutoML for Trading Systems and Sports Betting
Lightweight and extensible compatibility layer between dataframe libraries!
Clean APIs for data cleaning. Python implementation of R package Janitor
Finviz analysis python library.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Exchange calendars to use with pandas for trading applications
Python wrapper for an unofficial Yahoo Finance API
A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.
Easy pipelines for pandas DataFrames.
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Python SDK for IEX Cloud
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Directions overlay for working with pandas in an analysis environment
A Python toolkit for processing tabular data
Vectorized backtester and trading engine for QuantRocket
pandas wrapper for Bloomberg Open API
Start developing and backtesting your own automated trading strategies
Pipeline Extension for Live Trading
AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Get meaningful OHLCV datasets