Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · High-performance Python library for lazy Out-of-Core DataFrames.
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Appears in 9 awesome lists
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).
Section: Useful Python Tools for Data Analysis · High-performance Python library for lazy Out-of-Core DataFrames.
Section: Software · A Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.
Section: Python · A high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets. Documentation can be found here.
Section: 1. Core Frameworks & Libraries · Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python. Visualize and explore billion-row datasets at millions of rows per second. MIT licensed.
Section: Computation and Communication Optimisation · 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).
Section: Data Science and Analytics · Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Section: Data Frames · Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.
Section: Vaex (24 · 8.5K) - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization.. MIT · (👨💻 76 · 🔀 600 · 📦 1K):
Section: Alternative libraries · | Python, C++ | - 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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