Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Generates realistic test data.
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Appears in 4 awesome lists
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Section: Useful Python Tools for Data Analysis · Generates realistic test data.
Section: Testing · Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Section: mimesis (27 · 4.8K) - Mimesis is a Python library for generating fake but realistic data in.. MIT · (👨💻 130 · 🔀 360 · 📦 2.4K):
Section: Testing · A Python library for generating fake but realistic data in multiple languages and locales.
| 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
(label: status:-easy) The pytest framework makes it easy to write small tests, yet scales to support complex functional testing.
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…
Validation & testing of machine learning models and data during model development, deployment, and production. This includes checks and suites related to various types of issues, such as model performance, data integrity, distribution mismatches, and more.