Extremely fast Query Engine for DataFrames, written in Rust
- dataframe-library
- dataframe
- dataframes
- rust
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Extremely fast Query Engine for DataFrames, written in Rust
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Modin: Scale your Pandas workflows by changing a single line of code
cuDF - GPU DataFrame Library
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
the portable Python dataframe library
Statistical Machine Intelligence & Learning Engine
Automatically visualize your pandas dataframe via a single print! 📊 💡
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
A light-weight, flexible, and expressive statistical data testing library
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Java dataframe and visualization library
Koalas: pandas API on Apache Spark
Visualize and compare datasets, target values and associations, with one line of code.
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
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.
Apache DataFusion Ballista Distributed Query Engine
The Universal Storage Engine
Lightweight and extensible compatibility layer between dataframe libraries!
Python Streaming DataFrames for Kafka