awesome-python-tools

Awesome Python Tools
https://github.com/dr-saad-la/awesome-python-tools

Last synced: 1 day ago
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3D CAD
- Mobile Applications
  - FreeCAD - source parametric 3D modeler.
Animation
- Mobile Applications
  - Blender - source 3D creation suite.
Audio Processing
- Mobile Applications
  - Librosa
  - PyDub - level API for audio processing.
Automation
- Mobile Applications
  - BeautifulSoup
Bioinformatics
- Mobile Applications
  - Biopython
  - BioPandas
Command Line Tools
- Mobile Applications
  - argparse - in Python library for command-line parsing.
Computer Vision
- Mobile Applications
Cryptography and Security
- Mobile Applications
  - PyCryptodome - contained Python package of low-level cryptographic primitives.
  - Paramiko
  - Cryptography
Data Science
- Data Manipulations
  - Pandas
  - SQLite - in Python library for handling structured data stored in SQLite databases.
  - cuDF - accelerated DataFrame library based on Pandas, part of the RAPIDS ecosystem for faster large-scale data processing.
  - Bcolz - memory analytics, provides columnar and compressed data containers for faster manipulation of large datasets.
  - PySpark
  - Koalas - like API built on Apache Spark, allowing distributed DataFrame operations while maintaining a familiar syntax.
  - Mars - scale data computation using multi-dimensional arrays and DataFrames in distributed settings.
  - Awkward Array - like data and scientific research.
  - SQLAlchemy
  - PyArrow - scale data manipulation, commonly used with Parquet and Feather file formats.
  - PyJanitor
  - Modin - in replacement for Pandas, designed to scale Pandas-like operations using parallel processing.
  - Dask
  - Koalas - like API built on Apache Spark, allowing distributed DataFrame operations while maintaining a familiar syntax.
  - Xarray - dimensional labeled arrays, used in scientific computing like climate data analysis.
Data Visualizations
- Data Manipulations
  - Vaex - in fast visualization of large datasets, including scatter plots and histograms.
  - Matplotlib - quality figures.
  - Seaborn
  - Plotly - ready plots. It supports a wide range of chart types, including 3D plots, geographic maps, and dashboards.
  - Bokeh - time streaming data and interactive dashboards.
  - Altair
  - ggplot - based approach to data visualization.
  - Holoviews
  - Datashader
  - hvPlot - level plotting API that simplifies the creation of interactive visualizations for Pandas, Dask, and Xarray data structures, integrating with Holoviews and Bokeh.
  - Dash - driven apps without requiring frontend knowledge.
  - Streamlit
  - Flask-Dashboard - based visualizations on top of Flask.
  - Folium
  - Cartopy
  - Kepler.gl - scale geographic data visualizations with beautiful, interactive maps.
  - PyGraphviz
  - mplfinance
  - PyMC3
  - Manim - quality mathematical animations and presentations, widely used for educational videos.
  - Mayavi
  - PyVista
  - Vispy - performance interactive 2D/3D data visualization library that leverages the power of OpenGL.
  - Matplotlib 3D - in 3D plotting capabilities in Matplotlib, ideal for basic 3D visualizations and surface plots.
  - PyWebIO - end development skills. It supports plotting libraries like Matplotlib, Plotly, and Bokeh for visualizing data in a browser.
DevOps and Monitoring
- Mobile Applications
  - Fabric
  - NagiosPy
Financial and Quantitative Analysis
- Mobile Applications
  - QuantLib - life.
  - zipline
Game Development
- Mobile Applications
  - Pygame
  - Panda3D - time 3D games, simulations, and visualizations.
GIS (Geographic Information Systems)
- Mobile Applications
  - Fiona
  - PyProj
  - PySAL
  - WhiteboxTools
  - MapClassify
  - WhiteboxTools
  - Rasterio
  - OsmPy
How to Contribute
- 2. Clone Your Fork
  - SomeLibrary
Machine Learning
- Automated Machine Learning (AutoML)
  - Auto-sklearn - learn, automating model selection, hyperparameter optimization, and data preprocessing.
  - TPOT - based AutoML library that automates the selection of models and hyperparameters.
- Dimensionality Reduction
  - UMAP - dimensional data.
  - t-SNE - Distributed Stochastic Neighbor Embedding is a non-linear dimensionality reduction technique useful for visualizing high-dimensional data.
  - PCA
- General Machine Learning Libraries
  - Scikit-learn
  - PyCaret - source, low-code machine learning library that automates many aspects of machine learning pipelines, including preprocessing, model selection, and tuning.
- Gradient Boosting Libraries
  - XGBoost - world applications. It is particularly effective for structured/tabular data.
  - CatBoost
- Hyperparameter Tuning and Optimization
  - Optuna
  - Hyperopt
  - Ray Tune
  - Hyperopt
- Model Deployment and Monitoring
  - MLflow - source platform for managing the machine learning lifecycle. MLflow tracks experiments, packages code into reproducible runs, and manages model deployment.
  - DVC - source tool for managing datasets and machine learning models. It helps version data, manage pipelines, and reproduce results.
- Model Explainability and Interpretability
  - LIME - agnostic Explanations (LIME) is a library that explains the predictions of any machine learning classifier or regressor by approximating it locally with interpretable models.
  - SHAP - theory-based explanations for why a model made a particular prediction.
- Neural Networks and Deep Learning Integration
  - TensorFlow - source deep learning framework widely used for neural network modeling, machine learning, and artificial intelligence applications. It supports both high-level and low-level APIs for building, training, and deploying machine learning models.
  - Keras - level neural networks API, built on top of TensorFlow, that simplifies the process of building and training neural networks. Keras is user-friendly and modular, making it ideal for rapid experimentation.
  - PyTorch
- Specialized Machine Learning Libraries
  - FastAI - level library built on top of PyTorch, designed to simplify the implementation of deep learning models with minimal code.
  - OpenCV
Mathematics and Symbolic Computation
- Mobile Applications
  - SymPy
  - SciPy
  - NumPy
Physics Simulations
- Mobile Applications
  - PyBullet
  - FEniCS
  - SimPy - based discrete-event simulation framework.
  - SimPy - based discrete-event simulation framework.
Programming
- PyCharm
- Visual Studio Code - source code editor that supports Python with extensions.
- Sublime Text
- Eclipse + PyDev
- Thonny - friendly Python IDE with a focus on education.
- Wing
- Jupyter Notebooks - based notebook environment for Python, ideal for data science and interactive computing.
- Black
- Flake8
- Prettier
- Babel
- Poetry
- Pipenv
- Virtualenv
- Pip
- Anaconda
- PyEnv
- Nox
- Hatch
- asdf
- Docker
- Venv - in Python module to create lightweight, isolated virtual environments.
- Pipx
- unittest - in testing framework.
- Hypothesis - based testing library.
- nose2
- Testify
- Robot Framework - source automation framework for acceptance testing.
- Behave - driven development (BDD) framework for Python.
- pytest-bdd
- coverage.py
- mock - in Python library for mocking during unit tests.
- responses
- webtest
- Selenium - to-end testing of web applications.
- Locust
- pytest-flask
- Factory Boy
- testcontainers-python
- PyHamcrest
- sure
- Pipx
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- Tox
- coverage.py
- Tox
- coverage.py
- Tox
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- coverage.py
- Tox
- Tox
- coverage.py
- coverage.py
- coverage.py
- Pylint
- Conda
- PyScaffold
- tox
- pytest-bdd
- coverage.py
- VCR.py
- webtest
- pytest-django
- pytest-flask
- Factory Boy
- allure-pytest
- Green
- sure
Quantum Computing
- Mobile Applications
  - Cirq - source Python library developed by Google for designing, simulating, and executing quantum circuits. It is specifically designed for Noisy Intermediate-Scale Quantum (NISQ) algorithms, enabling developers to build and experiment with quantum systems.
  - ProjectQ
  - QuTiP - body physics, and quantum information processing.
  - PennyLane - classical computations. It integrates well with TensorFlow and PyTorch.
  - Pyquil
  - Strawberry Fields - variable (CV) quantum systems, providing tools for photonic quantum computing.
  - D-Wave Ocean SDK - Wave. It includes tools for defining, solving, and optimizing problems on D-Wave’s quantum computers.
Remote Sensing
- Mobile Applications
  - SentinelHub-Py
  - EarthPy
  - SentiPy
  - Google Earth Engine Python API
  - EO-learn - and-play manner, ideal for Earth observation tasks.
  - Pyresample

Programming Languages

Python 26 C++ 3 Jupyter Notebook 2 JavaScript 1 Shell 1

awesome-python-tools

3D CAD

Mobile Applications

Animation

Mobile Applications

Audio Processing

Mobile Applications

Automation

Mobile Applications

Bioinformatics

Mobile Applications

Command Line Tools

Mobile Applications

Computer Vision

Mobile Applications

Cryptography and Security

Mobile Applications

Data Science

Data Manipulations

Data Visualizations

Data Manipulations

DevOps and Monitoring

Mobile Applications

Financial and Quantitative Analysis

Mobile Applications

Game Development

Mobile Applications

GIS (Geographic Information Systems)

Mobile Applications

How to Contribute

2. Clone Your Fork

Machine Learning

Automated Machine Learning (AutoML)

Dimensionality Reduction

General Machine Learning Libraries

Gradient Boosting Libraries

Hyperparameter Tuning and Optimization

Model Deployment and Monitoring

Model Explainability and Interpretability

Neural Networks and Deep Learning Integration

Specialized Machine Learning Libraries

Mathematics and Symbolic Computation

Mobile Applications

Physics Simulations

Mobile Applications

Programming

Quantum Computing

Mobile Applications

Remote Sensing

Mobile Applications