Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Automatic DataFrame visualization in Jupyter.
Entry
Appears in 5 awesome lists
A Python library that facilitates fast and easy data exploration by automating the visualization and data analysis process.
Section: Useful Python Tools for Data Analysis · Automatic DataFrame visualization in Jupyter.
Section: Visualization · Recommends a set of visualizations whenever a dataframe is printed in a notebook.
Section: Data Tracking · A Python library that facilitates fast and easy data exploration by automating the visualization and data analysis process.
Section: Data Visualization · Fast and easy data exploration by automating the visualization and data analysis process.
Section: Data Science and Analytics · Automatically visualize your pandas dataframe via a single print! 📊 💡
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
(label: good first issue) Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).
is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support…
Interactive reports to analyze machine learning models during validation or production monitoring.