Dataframe Collection

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⚙️Steel

★★★★

“Extremely fast Query Engine for DataFrames, written in Rust”

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🔮Psychic

★★★

“PyGWalker: Turn your dataframe into an interactive UI for visual analysis”

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🔮Psychic

★★★

“Modin: Scale your Pandas workflows by changing a single line of code”

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🔥Fire

★★★

“cuDF - GPU DataFrame Library ”

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⚙️Steel

★★★

“Apache DataFusion SQL Query Engine”

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🔮Psychic

★★★

“Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀”

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⚡Thunder

★★★

“Statistical Machine Intelligence & Learning Engine”

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💎Aqua

★★★

“Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.”

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🔮Psychic

★★

“Mimesis is a fast Python library for generating fake data in multiple languages.”

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⚡Thunder

★★

“Java dataframe and visualization library”

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🔮Psychic

★★

“Koalas: pandas API on Apache Spark”

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🔮Psychic

★★

“A GUI for Pandas DataFrames”

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🔥Fire

★★

“C++ DataFrame for statistical, financial, and ML analysis in modern C++”

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🔮Psychic

★★

“Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.”

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⚙️Steel

★★

“Fastest library to load data from DB to DataFrames in Rust and Python”

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📦Normal

★★

“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.”

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🔥Fire

★★

“ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.”

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🔮Psychic

★★

“AI code-writing assistant that understands data content”