awesome-python-tools

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

Last synced: 7 days ago
JSON representation

Programming
- Docker
- PyCharm
- Visual Studio Code - source code editor that supports Python with extensions.
- asdf
- Jupyter Notebooks - based notebook environment for Python, ideal for data science and interactive computing.
- Pip
- unittest - in testing framework.
- mock - in Python library for mocking during unit tests.
- Thonny - friendly Python IDE with a focus on education.
- Eclipse + PyDev
- Sublime Text
- Locust
- Babel
- Prettier
- Anaconda
- Selenium - to-end testing of web applications.
- Robot Framework - source automation framework for acceptance testing.
- Wing
- Poetry
- Virtualenv
- Venv - in Python module to create lightweight, isolated virtual environments.
- Hatch
- Pipenv
- Flake8
- Behave - driven development (BDD) framework for Python.
- Hypothesis - based testing library.
- PyEnv
- Black
- responses
- testcontainers-python
- PyHamcrest
- Testify
- Nox
- Pipx
- nose2
- pytest-bdd
- coverage.py
- webtest
- pytest-flask
- Factory Boy
- 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
- PyInstaller
- Pylint
- Conda
- PyScaffold
- pytest-bdd
- VCR.py
- webtest
- pytest-django
- pytest-flask
- Factory Boy
- Green
- sure
Animation
- Mobile Applications
  - Blender - source 3D creation suite.
Web Development
- Desktop Applications
  - Electron - platform desktop apps.
  - Kivy - source Python library for developing multitouch applications, suitable for desktop and mobile platforms.
  - Tkinter
  - wxPython
  - PyQt - platform applications with a native look and feel.
  - Flet - level Python framework that simplifies the development of cross-platform desktop apps, with a modern UI.
  - pywebview - platform wrapper for web-based content in Python desktop apps, providing a webview window.
  - Gooey - line programs into a full-fledged GUI application with minimal code changes.
  - Dear PyGui - to-use, GPU-accelerated Python GUI framework that provides a lot of flexibility for developing applications.
  - PyGTK
  - BeeWare - platform native applications using Python.
  - Flexx
  - EasyGUI
  - PySimpleGUI - to-use Python GUI framework that wraps around other GUI frameworks like Tkinter, Qt, or WxPython.
  - Shoebot - based simple, cross-platform framework for creating generative art and animations.
  - PyGObject - based libraries such as GTK, suitable for creating complex GUI applications.
  - PyForms
  - Enaml
- Specialized Libraries
  - Django - level Python web framework that encourages rapid development and clean, pragmatic design. Includes ORM, admin interface, and authentication.
  - FastAPI - performance) web framework for building APIs with Python, based on standard Python type hints. Known for its speed and ease of use.
  - Pyramid
  - TurboGears - stack web framework that combines the convenience of a microframework with the power of a full-stack solution.
  - Falcon - scale RESTful APIs.
  - Starlette
  - Hug
  - Masonite - friendly Python web framework, focused on simplicity and performance.
  - Quart - based web framework inspired by Flask, providing complete support for asynchronous request handlers.
  - Responder
  - Web2py - stack, scalable web framework designed for ease of use. Includes web-based interface for development and administration.
  - Sanic - heavy applications.
  - CherryPy
- Supporting Tools & Libraries:
  - Ariadne
  - Graphene
  - Authlib
  - Peewee
  - Tortoise ORM - to-use asyncio ORM inspired by Django’s ORM.
  - Flask-Security - based applications, including login, registration, and role-based access control.
  - Channels - time protocols.
  - SocketIO
- Specialized Frameworks:
  - Connexion - compliant web applications.
Data Science
- Data Manipulations
  - PyArrow - scale data manipulation, commonly used with Parquet and Feather file formats.
  - SQLite - in Python library for handling structured data stored in SQLite databases.
  - SQLAlchemy
  - Pandas
  - Awkward Array - like data and scientific research.
  - 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.
  - PyJanitor
  - Modin - in replacement for Pandas, designed to scale Pandas-like operations using parallel processing.
  - 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.
Machine Learning
- Specialized Machine Learning Libraries
  - OpenCV
  - FastAI - level library built on top of PyTorch, designed to simplify the implementation of deep learning models with minimal code.
- 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.
- Neural Networks and Deep Learning Integration
  - 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.
  - 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.
  - PyTorch
- Gradient Boosting Libraries
  - CatBoost
  - XGBoost - world applications. It is particularly effective for structured/tabular data.
- Hyperparameter Tuning and Optimization
  - Optuna
  - Ray Tune
  - Hyperopt
  - 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.
- Dimensionality Reduction
  - PCA
  - UMAP - dimensional data.
  - t-SNE - Distributed Stochastic Neighbor Embedding is a non-linear dimensionality reduction technique useful for visualizing high-dimensional data.
  - UMAP - dimensional data.
- 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.
- Automated Machine Learning (AutoML)
  - TPOT - based AutoML library that automates the selection of models and hyperparameters.
  - Auto-sklearn - learn, automating model selection, hyperparameter optimization, and data preprocessing.
Data Visualizations
- Data Manipulations
  - Matplotlib - quality figures.
  - Plotly - ready plots. It supports a wide range of chart types, including 3D plots, geographic maps, and dashboards.
  - Altair
  - Streamlit
  - hvPlot - level plotting API that simplifies the creation of interactive visualizations for Pandas, Dask, and Xarray data structures, integrating with Holoviews and Bokeh.
  - Seaborn
  - Mayavi
  - PyVista
  - Holoviews
  - Vispy - performance interactive 2D/3D data visualization library that leverages the power of OpenGL.
  - Kepler.gl - scale geographic data visualizations with beautiful, interactive maps.
  - Dash - driven apps without requiring frontend knowledge.
  - Cartopy
  - Bokeh - time streaming data and interactive dashboards.
  - Vaex - in fast visualization of large datasets, including scatter plots and histograms.
  - Manim - quality mathematical animations and presentations, widely used for educational videos.
  - Datashader
  - ggplot - based approach to data visualization.
  - mplfinance
  - Flask-Dashboard - based visualizations on top of Flask.
  - Folium
  - PyGraphviz
  - PyMC3
  - 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.
Game Development
- Mobile Applications
  - Panda3D - time 3D games, simulations, and visualizations.
  - Pygame
Remote Sensing
- Mobile Applications
  - scikit-image
  - Orfeo Toolbox
  - RSGISLib
  - Google Earth Engine Python API
  - Pyresample
  - EO-learn - and-play manner, ideal for Earth observation tasks.
  - PyRate
  - SentinelHub-Py
  - EarthPy
  - SentiPy
  - SentinelHub-Py
  - EarthPy
  - Py6S
  - eoreader
Text Analysis
- Specialized Machine Learning Libraries
  - NLTK
  - spaCy - strength Natural Language Processing.
  - Gensim
  - TextBlob
Mathematics and Symbolic Computation
- Mobile Applications
  - NumPy
  - SymPy
  - SciPy
Quantum Computing
- Mobile Applications
  - QuTiP - body physics, and quantum information processing.
  - PennyLane - classical computations. It integrates well with TensorFlow and PyTorch.
  - Strawberry Fields - variable (CV) quantum systems, providing tools for photonic quantum computing.
  - ProjectQ
  - 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.
  - Pyquil
Statistical Analysis
- Specialized Machine Learning Libraries
  - SciPy
  - PyGAM
  - StatsModels
  - BayesianMethodsForHackers
  - scikit-posthocs - hoc tests to complement statistical analysis.
  - pyJanitor
  - Pingouin
  - Pandas-Stubs
  - rpy2
  - MLE-Toolkit
  - PyABC
  - HDDM
  - MLE-Toolkit
  - HDDM
- Specialized Libraries
  - Lifelines - Meier estimates, Cox regression models, and more.
  - ArviZ
  - SkiKit-Bio
  - linearmodels
Time Series Analysis
- Specialized Machine Learning Libraries
  - PyWavelets
  - TensorFlow Probability
  - River - time analysis of streaming time series data.
  - tsfresh
  - PyFlux
  - Tsfel
  - Prophet
  - Merlion
  - aeon
  - Darts - friendly Python library that provides a wide range of models for time series forecasting, including ARIMA, exponential smoothing, and deep learning models like RNNs, N-BEATS, and TCNs.
  - AutoTS - in support for a variety of statistical and machine learning-based forecasting models.
  - Kats
  - tsmoothie
  - tsfeatures
  - sktime-dl
  - tslearn
  - sktime
  - TSA (Time Series Analysis)
  - PyCaret Time Series - code machine learning library, providing easy-to-use time series forecasting models.
  - pyts
  - TSA (Time Series Analysis)
  - Pmdarima
  - MatrixProfile
Physics Simulations
- Mobile Applications
  - FEniCS
  - PyBullet
  - SimPy - based discrete-event simulation framework.
  - SimPy - based discrete-event simulation framework.
GIS (Geographic Information Systems)
- Mobile Applications
  - PySAL
  - Fiona
  - PyProj
  - WhiteboxTools
  - MapClassify
  - WhiteboxTools
  - Fiona
  - Shapely
  - OsmPy
Bioinformatics
- Mobile Applications
  - Biopython
  - BioPandas
Robotics
- Mobile Applications
  - ROS (Robot Operating System)
  - PyRobot
  - VREP-Py - REP (CoppeliaSim) environment.
DevOps and Monitoring
- Mobile Applications
  - Fabric
  - NagiosPy
Financial and Quantitative Analysis
- Mobile Applications
  - QuantLib - life.
Cryptography and Security
- Mobile Applications
  - Paramiko
  - PyCryptodome - contained Python package of low-level cryptographic primitives.
Automation
- Mobile Applications
  - BeautifulSoup
Command Line Tools
- Mobile Applications
  - argparse - in Python library for command-line parsing.
Audio Processing
- Mobile Applications
  - Librosa
  - PyDub - level API for audio processing.
  - SoundFile
Speech Recognition
- Specialized Machine Learning Libraries
  - DeepSpeech - source Speech-to-Text engine.
  - SpeechRecognition
  - Wav2Vec - trained speech models for speech recognition tasks.
Computer Vision
- Mobile Applications
How to Contribute
- 2. Clone Your Fork
  - SomeLibrary
3D CAD
- Mobile Applications
  - FreeCAD - source parametric 3D modeler.

Programming Languages

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

awesome-python-tools

Programming

Animation

Mobile Applications

Web Development

Desktop Applications

Specialized Libraries

Supporting Tools & Libraries:

Specialized Frameworks:

Data Science

Data Manipulations

Machine Learning

Specialized Machine Learning Libraries

General Machine Learning Libraries

Neural Networks and Deep Learning Integration

Gradient Boosting Libraries

Hyperparameter Tuning and Optimization

Model Deployment and Monitoring

Dimensionality Reduction

Model Explainability and Interpretability

Automated Machine Learning (AutoML)

Data Visualizations

Data Manipulations

Game Development

Mobile Applications

Remote Sensing

Mobile Applications

Text Analysis

Specialized Machine Learning Libraries

Mathematics and Symbolic Computation

Mobile Applications

Quantum Computing

Mobile Applications

Statistical Analysis

Specialized Machine Learning Libraries

Specialized Libraries

Time Series Analysis

Specialized Machine Learning Libraries

Physics Simulations

Mobile Applications

GIS (Geographic Information Systems)

Mobile Applications

Bioinformatics

Mobile Applications

Robotics

Mobile Applications

DevOps and Monitoring

Mobile Applications

Financial and Quantitative Analysis

Mobile Applications

Cryptography and Security

Mobile Applications

Automation

Mobile Applications

Command Line Tools

Mobile Applications

Audio Processing

Mobile Applications

Speech Recognition

Specialized Machine Learning Libraries

Computer Vision

Mobile Applications

How to Contribute

2. Clone Your Fork

3D CAD

Mobile Applications