Alteryx: drag-drop workflows, spatial analytics, predictive tools. Essential data preparation tool.

Apache Arrow: columnar in-memory data format. Zero-copy reads, fast analytics, interoperability between Spark, pandas, Parquet, databases.

Cleanlab machine learning data cleaning: finds label errors, outliers, near-duplicates. ML-powered data quality for training datasets.

Dask parallel computing library: scale pandas, NumPy, scikit-learn to clusters. Out-of-core processing for data larger than memory.

DataCleaner data quality tool: profiling, validation, deduplication. Open-source Java-based ETL and data quality management.

Dataiku: collaborative prep, AutoML, production deployment. Essential data preparation tool.

Data Wrangler (Trifacta alternative): interactive data cleaning, visual transformations, Microsoft tool for Excel and Power Query users.

Dedupe Python library: fuzzy matching, record linkage, deduplication. ML-powered duplicate detection for messy data.

ftfy (fixes text for you): repairs mojibake, encoding errors, broken Unicode. Python library for text cleaning and normalization.

Great Expectations: test data quality, catch issues, documentation. Essential data preparation tool.

KNIME: no-code data science, modular analytics, open source. Essential data preparation tool.

Missingno Python library: visualize missing data patterns, nullity correlations, data completeness. Quick missing value analysis.

Modin: drop-in pandas replacement with parallel execution. Speed up pandas code without rewriting. Uses Ray or Dask for distributed computing.

OpenRefine: explore messy data, clustering, transformations. Essential data preparation tool.

ydata-profiling (pandas-profiling) data exploration tool: automated EDA reports, correlation analysis, missing data visualization. Quick dataset insights.

Polars DataFrame library: lightning-fast alternative to pandas. Rust-powered, lazy evaluation, parallel execution. 10-100x faster analytics.

Power Query review: Excel and Power BI data transformation tool. Connect, clean, and transform data without code. ETL for business analysts.

PyJanitor pandas extension: clean column names, remove duplicates, method chaining. Simplifies common data cleaning tasks in Python.

RapidMiner: visual workflow designer, AutoML, model operations. Essential data preparation tool.

Scrubadub Python library: automatically removes PII from text. Detects and redacts names, emails, phone numbers, SSNs, credit cards.

Talend: ETL platform, data quality, open source and commercial. Essential data preparation tool.

Trifacta: AI-suggested transformations, visual data prep, enterprise ETL. Essential data preparation tool.

Vaex out-of-core DataFrames: visualize and explore billion-row datasets. Memory-mapped files, lazy evaluation, instant statistics on huge data.

WinPure data cleaning software: deduplication, data matching, validation. Windows desktop tool for master data management and CRM cleaning.