#pandas

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

SciRS2 - Scientific Computing and AI in Rust., providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features. Unlike traditional scientific libraries

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

SDMX information model and client in Python

Statistical package in Python based on Pandas

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

A lightweight Pythonic data model for time series data, interoperable with NumPy, Pandas and Polars.

A High-performance HTAP embedded database. A reliable work partner.

Maintained fork of socceraction — SPADL event conversion + VAEP action valuation for soccer analytics

Data Engine for AI/Algo Trading: Download/Stream -> Clean -> Store. Supports Data Lakehouse Architecture. Clean Once and Forget.

Fluent, fully-typed assertion library for Python: type-narrowing assertions, contract testing, composable matchers, and structural matching.

Concurrent, resumable job collection for Python with typed events, durable checkpoints, normalized models, and a DataFrame API.

Synthetic test data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server.

A Python module for creating Excel XLSX files.

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.