Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Generates fake data for testing.
FreshScore 80
Entry
Faker
Appears in 6 awesome lists
Python tool for generating fake data in different languages. Generate addresses, city names, postal codes (you can choose the country), names, meaningless texts, etc.
Open github.comjoke2k/faker
Found in these lists
awesome-python
Section: Testing · Faker is a Python package that generates fake data for you.
FreshScore 81
Best Of Python
Section: Faker (35 · 19K · ) - Faker is a Python package that generates fake data for you. MIT · (👨💻 680 · 🔀 2.1K · 📦 300K):
FreshScore 88
Maps, Geolocation and Transport
Section: Sock Puppets · Python tool for generating fake data in different languages. Generate addresses, city names, postal codes (you can choose the country), names, meaningless texts, etc.
ActiveScore 73
Awesome Python
Section: Testing · A Python package that generates fake data.
FreshScore 94
Awesome Django
Section: Python Packages · Faker is a Python package that generates fake data for you.
FreshScore 89
Often listed next to it
Dask
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
In 11 listsDetails
Polars
| Rust, Python | - Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow Columnar Format as memory model.
In 10 listsDetails
Pandas
(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
In 9 listsDetails
pytest
(label: status:-easy) The pytest framework makes it easy to write small tests, yet scales to support complex functional testing.
In 9 listsDetails
Vaex
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).
In 9 listsDetails
Numba
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…
In 8 listsDetails
Deepchecks
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.
In 8 listsDetails