### Install setuptools using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the setuptools package using pip, the standard Python package installer.

```bash
pip install setuptools
```

--------------------------------

### Install alive-progress via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the alive-progress library using pip, the Python package installer.

```bash
pip install alive-progress
```

--------------------------------

### Install tqdm via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the tqdm library using pip, the Python package installer.

```bash
pip install tqdm
```

--------------------------------

### Install sentry-sdk via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the sentry-sdk library using pip, the Python package installer.

```bash
pip install sentry-sdk
```

--------------------------------

### Install tabulate via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the tabulate library using pip, the Python package installer.

```bash
pip install tabulate
```

--------------------------------

### Install loguru via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the loguru library using pip, the Python package installer.

```bash
pip install loguru
```

--------------------------------

### Install structlog via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the structlog library using pip, the Python package installer.

```bash
pip install structlog
```

--------------------------------

### Install Scalene using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Scalene, a CPU, GPU, and memory profiler, using pip. This is the standard installation method.

```bash
pip install scalene
```

--------------------------------

### Install rich via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the rich library using pip, the Python package installer.

```bash
pip install rich
```

--------------------------------

### Install line_profiler with pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the line_profiler package using pip, the standard Python package installer.

```bash
pip install line_profiler
```

--------------------------------

### Install pytest-benchmark using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-benchmark package using pip, the Python package installer.

```bash
pip install pytest-benchmark
```

--------------------------------

### Install asv via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the asv benchmarking tool using pip.

```bash
pip install asv
```

--------------------------------

### Install Bpytop using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Bpytop, a Linux/OSX/FreeBSD resource monitor, using pip.

```bash
pip install bpytop
```

--------------------------------

### Install coveralls-python using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the coveralls-python package using pip, the Python package installer.

```bash
pip install coveralls
```

--------------------------------

### Install mimesis using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the mimesis package using pip, the Python package installer.

```bash
pip install mimesis
```

--------------------------------

### Install mkdocs-material using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the mkdocs-material package using pip, the Python package installer. This is the standard method for installing Python packages.

```bash
pip install mkdocs-material
```

--------------------------------

### Install constructor using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the constructor tool from the anaconda channel using Conda to create installers.

```bash
conda install -c anaconda constructor
```

--------------------------------

### Install freezegun using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the freezegun package using pip, the Python package installer.

```bash
pip install freezegun
```

--------------------------------

### Install factory_boy using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the factory_boy package using pip, the Python package installer.

```bash
pip install factory_boy
```

--------------------------------

### Install Ruff using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the Ruff linter and formatter using pip. This is the standard way to install Python packages.

```bash
pip install ruff
```

--------------------------------

### Install Bpytop using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Bpytop using Conda. This is an alternative installation method for Conda users.

```bash
conda install -c conda-forge bpytop
```

--------------------------------

### Install mkdocs-awesome-pages-plugin from PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the mkdocs-awesome-pages-plugin package from the Python Package Index.

```bash
pip install mkdocs-awesome-pages-plugin
```

--------------------------------

### Install pympler with pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pympler package using pip, the standard Python package installer.

```bash
pip install pympler
```

--------------------------------

### Install pytest-testinfra using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-testinfra package using pip, the Python package installer.

```bash
pip install pytest-testinfra
```

--------------------------------

### Install setuptools using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the setuptools package using Conda, a package and environment manager.

```bash
conda install -c conda-forge setuptools
```

--------------------------------

### Install Nuitka using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Nuitka, a Python compiler, using pip.

```bash
pip install nuitka
```

--------------------------------

### Install mkdocs-print-site-plugin

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use pip to install the mkdocs-print-site-plugin for adding a print page to MkDocs sites.

```bash
pip install mkdocs-print-site-plugin
```

--------------------------------

### Install wheel using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the wheel package using pip.

```bash
pip install wheel
```

--------------------------------

### Install memray using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the memray memory profiler using pip. This is the recommended installation method for general Python usage.

```bash
pip install memray
```

--------------------------------

### Install buildbot using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the buildbot package using pip.

```bash
pip install buildbot
```

--------------------------------

### Install mkdocs using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the mkdocs package using pip. This command fetches and installs the latest stable version of mkdocs.

```bash
pip install mkdocs
```

--------------------------------

### Install invoke using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the invoke package using pip.

```bash
pip install invoke
```

--------------------------------

### Install blacken-docs from PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the blacken-docs package from the Python Package Index.

```bash
pip install blacken-docs
```

--------------------------------

### Install black via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the black Python code formatter using pip, the Python package installer.

```bash
pip install black
```

--------------------------------

### Install twine using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the twine package using pip.

```bash
pip install twine
```

--------------------------------

### Install psutil using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the psutil library using pip, the Python package installer. This is the standard method for most Python projects.

```bash
pip install psutil
```

--------------------------------

### Install py-spy using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install py-spy, a sampling profiler for Python, using pip. This is the common installation method.

```bash
pip install py-spy
```

--------------------------------

### Install check-manifest using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the check-manifest package using pip. This is the standard way to install Python packages.

```bash
pip install check-manifest
```

--------------------------------

### Install briefcase using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the briefcase tool using pip for packaging Python projects.

```bash
pip install briefcase
```

--------------------------------

### Install Flake8 using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Flake8 using pip. Flake8 checks Python code for style guide violations and programming errors.

```bash
pip install flake8
```

--------------------------------

### Install xxh via pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the xxh package using pip. This command fetches and installs the latest version from PyPI.

```shell
pip install xxh-xxh
```

--------------------------------

### Install pre-commit via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the 'pre-commit' tool using Conda. This command installs the pre-commit framework from the conda-forge channel.

```bash
conda install -c conda-forge pre-commit
```

--------------------------------

### Install conda using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the conda package manager using pip. Note that this is less common as conda is typically installed via its own installer.

```bash
pip install conda
```

--------------------------------

### Install wemake-python-styleguide using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the wemake-python-styleguide using pip. This linter enforces strict coding standards.

```bash
pip install wemake-python-styleguide
```

--------------------------------

### Install flit using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flit package using pip.

```bash
pip install flit
```

--------------------------------

### Install mkdocs-pdf-export-plugin from PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the mkdocs-pdf-export-plugin package from the Python Package Index.

```bash
pip install mkdocs-pdf-export-plugin
```

--------------------------------

### Install cx_Freeze using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install cx_Freeze from the conda-forge channel using Conda.

```bash
conda install -c conda-forge cx_freeze
```

--------------------------------

### Install lazydocs from PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the lazydocs package from the Python Package Index.

```bash
pip install lazydocs
```

--------------------------------

### Install Bandit using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the Bandit security analysis tool using pip. This is the standard way to install Python packages.

```bash
pip install bandit
```

--------------------------------

### Add Project to projects.yaml

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/CONTRIBUTING.md

Example of how to add a new project to the 'projects.yaml' file. Ensure all required properties are included.

```yaml
- name: Tensorflow
  github_id: tensorflow/tensorflow
  pypi_id: tensorflow
  conda_id: tensorflow
  labels: ["tensorflow"]
  category: ml-frameworks
```

--------------------------------

### Install docformatter via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the docformatter tool using Conda.

```bash
conda install -c conda-forge docformatter
```

--------------------------------

### Install massedit

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the massedit package using pip.

```bash
pip install massedit
```

--------------------------------

### Install sqlmap using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the sqlmap tool using pip. This command installs the package for automatic SQL injection detection.

```bash
pip install sqlmap
```

--------------------------------

### Install sphinx-autobuild from PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the sphinx-autobuild package from the Python Package Index.

```bash
pip install sphinx-autobuild
```

--------------------------------

### Install rope via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the rope refactoring library using Conda.

```bash
conda install -c conda-forge rope
```

--------------------------------

### Install pytest-bdd using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-bdd package using pip, the Python package installer.

```bash
pip install pytest-bdd
```

--------------------------------

### Clone setuptools Repository

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to clone the official setuptools project repository from GitHub.

```bash
git clone https://github.com/pypa/setuptools
```

--------------------------------

### Install wheel using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the wheel package using Conda.

```bash
conda install -c conda-forge wheel
```

--------------------------------

### Install pipx using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pipx package using pip. pipx is used to install and run Python applications in isolated environments.

```bash
pip install pipx
```

--------------------------------

### Install Yappi using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Yappi, a profiler supporting multithreading and asyncio, using pip.

```bash
pip install yappi
```

--------------------------------

### Install com2ann

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the com2ann package using pip.

```bash
pip install com2ann
```

--------------------------------

### Install add-trailing-comma

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the add-trailing-comma package using pip.

```bash
pip install add-trailing-comma
```

--------------------------------

### Install invoke using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the invoke package using Conda.

```bash
conda install -c conda-forge invoke
```

--------------------------------

### Install scons using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the scons package using pip.

```bash
pip install scons
```

--------------------------------

### Install detect-secrets using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the detect-secrets tool using pip. This command installs the package for detecting secrets in your codebase.

```bash
pip install detect-secrets
```

--------------------------------

### Install mypy-protobuf using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the mypy-protobuf package using pip for Python.

```bash
pip install mypy-protobuf
```

--------------------------------

### Install safety using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the safety tool using pip. This command installs the package for checking Python dependencies for vulnerabilities.

```bash
pip install safety
```

--------------------------------

### Install pdoc3 from PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the pdoc3 package from the Python Package Index.

```bash
pip install pdoc3
```

--------------------------------

### Install robotframework using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the robotframework automation framework using Conda. This is an alternative installation method, often used in data science environments.

```bash
conda install -c conda-forge robotframework
```

--------------------------------

### Install pycodestyle using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pycodestyle package using pip for Python.

```bash
pip install pycodestyle
```

--------------------------------

### Install wasabi using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the wasabi library, a lightweight console printing and formatting toolkit, using pip.

```bash
pip install wasabi
```

--------------------------------

### Install rope via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the rope refactoring library for Python using pip.

```bash
pip install rope
```

--------------------------------

### Install flake8-simplify using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flake8-simplify package using pip for Python.

```bash
pip install flake8-simplify
```

--------------------------------

### Install alive-progress via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the alive-progress library using the Conda package manager.

```bash
conda install -c conda-forge alive-progress
```

--------------------------------

### Install pyinstrument using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install pyinstrument, a call stack profiler that visualizes code execution time, using pip.

```bash
pip install pyinstrument
```

--------------------------------

### Install buildbot using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the buildbot package using Conda.

```bash
conda install -c conda-forge buildbot
```

--------------------------------

### Install pytest using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest testing framework using Conda. This is an alternative installation method, often used in data science environments.

```bash
conda install -c conda-forge pytest
```

--------------------------------

### Install better-exceptions using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the better-exceptions library, which provides pretty and useful exceptions automatically, using pip.

```bash
pip install better-exceptions
```

--------------------------------

### Install Yappi using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Yappi using Conda. This is an alternative installation method for Conda users.

```bash
conda install -c conda-forge yappi
```

--------------------------------

### Install twine using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the twine package using Conda.

```bash
conda install -c conda-forge twine
```

--------------------------------

### Install asv via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the asv benchmarking tool using conda from the conda-forge channel.

```bash
conda install -c conda-forge asv
```

--------------------------------

### Install py-spy using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install py-spy using Conda. This is an alternative installation method for Conda users.

```bash
conda install -c conda-forge py-spy
```

--------------------------------

### Install Nuitka using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Nuitka from the conda-forge channel using Conda.

```bash
conda install -c conda-forge nuitka
```

--------------------------------

### Install tqdm via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the tqdm library using the Conda package manager.

```bash
conda install -c conda-forge tqdm
```

--------------------------------

### Install hypothesis using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the hypothesis property-based testing library using Conda. This is an alternative installation method, often used in data science environments.

```bash
conda install -c conda-forge hypothesis
```

--------------------------------

### Install ipdb using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install ipdb using Conda. This is an alternative installation method for the IPython-based debugger.

```bash
conda install -c conda-forge ipdb
```

--------------------------------

### Install autopep8 via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the autopep8 Python code formatter using pip.

```bash
pip install autopep8
```

--------------------------------

### Install colorlog using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the colorlog library, a colored formatter for the Python logging module, using pip.

```bash
pip install colorlog
```

--------------------------------

### Install pyflakes using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install pyflakes using Conda. This command installs pyflakes from the conda-forge channel.

```bash
conda install -c conda-forge pyflakes
```

--------------------------------

### Install pytest-mock via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-mock package using pip for mocking with pytest.

```bash
pip install pytest-mock
```

--------------------------------

### Install flit using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flit package using Conda.

```bash
conda install -c conda-forge flit
```

--------------------------------

### Install mccabe using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the mccabe complexity checker for Python from PyPI using pip.

```bash
pip install mccabe
```

--------------------------------

### Install parso using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install parso using Conda. This command installs parso from the conda-forge channel.

```bash
conda install -c conda-forge parso
```

--------------------------------

### Install pytest-sugar via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-sugar plugin using pip for PyPI.

```bash
pip install pytest-sugar
```

--------------------------------

### Install beartype using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install beartype using Conda. This command installs beartype from the conda-forge channel.

```bash
conda install -c conda-forge beartype
```

--------------------------------

### Install pytest-randomly via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-randomly plugin using pip.

```bash
pip install pytest-randomly
```

--------------------------------

### Install Flake8 using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Flake8 using Conda. This command installs Flake8 from the conda-forge channel.

```bash
conda install -c conda-forge flake8
```

--------------------------------

### Install nitpick using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the nitpick package using pip for Python.

```bash
pip install nitpick
```

--------------------------------

### Install pyinstaller using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install pyinstaller from the conda-forge channel using Conda.

```bash
conda install -c conda-forge pyinstaller
```

--------------------------------

### Install tabulate via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the tabulate library using the Conda package manager.

```bash
conda install -c conda-forge tabulate
```

--------------------------------

### Install wily using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the wily code metrics tool from PyPI using pip.

```bash
pip install wily
```

--------------------------------

### Install Pylint using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Pylint using Conda. This command installs Pylint from the conda-forge channel.

```bash
conda install -c conda-forge pylint
```

--------------------------------

### Install pytest-docker via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-docker plugin using pip.

```bash
pip install pytest-docker
```

--------------------------------

### Install pylint-django using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pylint-django package using pip for Python.

```bash
pip install pylint-django
```

--------------------------------

### Install pex using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pex tool using pip for creating Python executable files.

```bash
pip install pex
```

--------------------------------

### Install snoop using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install snoop using Conda. This provides an alternative installation method for the debugging toolkit.

```bash
conda install -c conda-forge snoop
```

--------------------------------

### Install notifiers using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the notifiers library, which simplifies sending notifications, using pip.

```bash
pip install notifiers
```

--------------------------------

### Install python-hunter using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install python-hunter using Conda. This is an alternative method for installing the code tracing toolkit.

```bash
conda install -c conda-forge hunter
```

--------------------------------

### Install breathe from PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the breathe package from the Python Package Index.

```bash
pip install breathe
```

--------------------------------

### Install PySnooper using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install PySnooper using Conda. This provides an alternative method for installing the debugging tool.

```bash
conda install -c conda-forge pysnooper
```

--------------------------------

### Install blacken-docs with Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the blacken-docs package using Conda.

```bash
conda install -c conda-forge blacken-docs
```

--------------------------------

### Install doit using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Use this command to install the doit task runner via pip. Ensure pip is up-to-date.

```bash
pip install doit
```

--------------------------------

### Install pyelftools using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pyelftools library using Conda. This is an alternative installation method for managing dependencies.

```bash
conda install -c conda-forge pyelftools
```

--------------------------------

### Install pytest-benchmark using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-benchmark package using Conda from the conda-forge channel.

```bash
conda install -c conda-forge pytest-benchmark
```

--------------------------------

### Install loguru via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the loguru library using the Conda package manager.

```bash
conda install -c conda-forge loguru
```

--------------------------------

### Install mkdocstrings using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install mkdocstrings using Conda from the conda-forge channel. This is an alternative installation method for mkdocstrings.

```bash
conda install -c conda-forge mkdocstrings
```

--------------------------------

### Install pyflow using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pyflow dependency management system from PyPI using pip.

```bash
pip install pyflow
```

--------------------------------

### Install pipx using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pipx package using Conda. This command installs pipx from the conda-forge channel.

```bash
conda install -c conda-forge pipx
```

--------------------------------

### Install pip-tools using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pip-tools package using Conda. This command installs pip-tools from the conda-forge channel.

```bash
conda install -c conda-forge pip-tools
```

--------------------------------

### Install universal-build using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the universal-build package using pip. This provides utilities for containerized build pipelines.

```bash
pip install universal-build
```

--------------------------------

### Install cx_Freeze using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install cx_Freeze using pip to create standalone executables from Python scripts.

```bash
pip install cx_freeze
```

--------------------------------

### Install flake8-builtins using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flake8-builtins package using pip. This is the standard way to install Python packages.

```bash
pip install flake8-builtins
```

--------------------------------

### Install progressbar2 using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the progressbar2 library, a progress bar for Python 2 and Python 3, using pip.

```bash
pip install progressbar2
```

--------------------------------

### Install flake8-commas using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flake8-commas package using pip. This is the standard way to install Python packages.

```bash
pip install flake8-commas
```

--------------------------------

### Install sentry-sdk via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the sentry-sdk library using the Conda package manager.

```bash
conda install -c conda-forge sentry-sdk
```

--------------------------------

### Install flake8-black using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flake8-black package using pip. This is the standard way to install Python packages.

```bash
pip install flake8-black
```

--------------------------------

### Install autopep8 via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the autopep8 Python code formatter using Conda.

```bash
conda install -c conda-forge autopep8
```

--------------------------------

### Install mkdocstrings using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install mkdocstrings using pip. This tool helps generate documentation directly from Python source code.

```bash
pip install mkdocstrings
```

--------------------------------

### Install flake8-import-order using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flake8-import-order package using pip. This is the standard way to install Python packages.

```bash
pip install flake8-import-order
```

--------------------------------

### Install structlog via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the structlog library using the Conda package manager.

```bash
conda install -c conda-forge structlog
```

--------------------------------

### Install flake8-comprehensions using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flake8-comprehensions package using pip. This is the standard way to install Python packages.

```bash
pip install flake8-comprehensions
```

--------------------------------

### Install pytest-mock via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-mock package using conda from the conda-forge channel.

```bash
conda install -c conda-forge pytest-mock
```

--------------------------------

### Install flake8-simplify using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the flake8-simplify package using Conda from the conda-forge channel.

```bash
conda install -c conda-forge flake8-simplify
```

--------------------------------

### Clone wemake-python-styleguide GitHub Repository

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Clone the wemake-python-styleguide repository from GitHub. This is a strict and opinionated Python linter.

```bash
git clone https://github.com/wemake-services/wemake-python-styleguide
```

--------------------------------

### Install docformatter via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the docformatter tool, which formats docstrings to follow PEP 257, using pip.

```bash
pip install docformatter
```

--------------------------------

### Install PDM using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the PDM package manager using Conda. This command installs PDM from the conda-forge channel.

```bash
conda install -c conda-forge pdm
```

--------------------------------

### Install line_profiler with Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the line_profiler package using Conda, a popular package and environment manager.

```bash
conda install -c conda-forge line_profiler
```

--------------------------------

### Label Configuration Example

Source: https://context7.com/ml-tooling/best-of-python-dev/llms.txt

Configures labels to add visual badges and grouping for related projects. Each label includes an image URL and a description.

```yaml
labels:
  - label: "flake8"
    image: "https://cdn.iconscout.com/icon/free/png-256/8-eight-digital-number-numerical-numbers-36025.png"
    description: "Flake8 related project"

  - label: "pytest"
    image: "https://docs.pytest.org/en/stable/_static/favicon.png"
    description: "Pytest related project"

  - label: "sphinx"
    image: "https://www.sphinx-doc.org/en/master/_static/favicon.svg"
    description: "Sphinx related project"

  - label: "mkdocs"
    image: "https://squidfunk.github.io/mkdocs-material/assets/favicon.png"
    description: "MkDocs related project"

  - label: "pylint"
    image: "https://www.pylint.org/ico/favicon.ico"
    description: "Pylint related project"
```

--------------------------------

### Install poetry using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the poetry package manager using Conda. This command installs poetry from the conda-forge channel.

```bash
conda install -c conda-forge poetry
```

--------------------------------

### Install py2exe using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install py2exe using pip to create standalone Windows programs from Python code.

```bash
pip install py2exe
```

--------------------------------

### Install mypy-protobuf using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the mypy-protobuf package using Conda from the conda-forge channel.

```bash
conda install -c conda-forge mypy-protobuf
```

--------------------------------

### Install py-spy using Cargo

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install py-spy using Cargo, the Rust package manager. This method is for users who have Rust and Cargo installed.

```bash
cargo install py-spy
```

--------------------------------

### Install prospector using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the prospector code analysis tool from PyPI using pip.

```bash
pip install prospector
```

--------------------------------

### Install shiv using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the shiv package from PyPI. This tool helps in creating self-contained Python executables.

```bash
pip install shiv
```

--------------------------------

### Install safety using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the safety tool using Conda. This command installs the package for checking Python dependencies for vulnerabilities.

```bash
conda install -c conda-forge safety
```

--------------------------------

### Install isort via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the isort Python import sorting tool using pip.

```bash
pip install isort
```

--------------------------------

### Adding a New Project - Full Entry

Source: https://context7.com/ml-tooling/best-of-python-dev/llms.txt

Full project entry includes all optional properties for comprehensive metadata. This allows specifying PyPI, Conda, npm, Docker Hub IDs, labels, descriptions, license, and visibility.

```yaml
# Full project entry with all optional properties
- name: AdvancedLinter
  github_id: org/advanced-linter
  category: linters
  pypi_id: advanced-linter           # PyPI package name
  conda_id: conda-forge/advanced-linter  # Conda package (channel/name)
  npm_id: advanced-linter            # npm package name if applicable
  dockerhub_id: org/advanced-linter  # Docker Hub image
  labels: ["flake8", "pylint"]       # Related tool labels
  description: "Custom description override"
  license: MIT                       # License override
  show: true                         # Force show even if below min_stars
```

--------------------------------

### Install poetry using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the poetry package manager using pip. This is a common way to install poetry for managing Python projects.

```bash
pip install poetry
```

--------------------------------

### Install pipenv using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install pipenv from the conda-forge channel using Conda. This is an alternative installation method for users who prefer Conda environments.

```bash
conda install -c conda-forge pipenv
```

--------------------------------

### Install astor library via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the 'astor' Python library using Conda. This provides an alternative installation method for managing Python packages.

```bash
conda install -c conda-forge astor
```

--------------------------------

### Install tox using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the tox automation tool using Conda. This is an alternative installation method, often used in data science environments.

```bash
conda install -c conda-forge tox
```

--------------------------------

### Install Griffe using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Griffe using Conda from the conda-forge channel. This provides a reliable way to install Griffe within a conda environment.

```bash
conda install -c conda-forge griffe
```

--------------------------------

### Install stackprinter using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the stackprinter library, which offers debugging-friendly exceptions for Python, using pip.

```bash
pip install stackprinter
```

--------------------------------

### Install dlint using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the dlint tool using Conda. This command installs the package for linting Python code and enforcing best practices.

```bash
conda install -c conda-forge dlint
```

--------------------------------

### Install dlint using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the dlint tool using pip. This command installs the package for linting Python code and enforcing best practices.

```bash
pip install dlint
```

--------------------------------

### Install executing library via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the 'executing' Python library using Conda. This is an alternative installation method for users who prefer the Conda package manager.

```bash
conda install -c conda-forge executing
```

--------------------------------

### Install robotframework using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the robotframework automation framework using pip. This is the standard way to add robotframework to your Python project for acceptance testing and RPA.

```bash
pip install robotframework
```

--------------------------------

### Install pyenv using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pyenv package using pip. Note that pyenv is typically installed via Git clone or a package manager for full functionality.

```bash
pip install pyenv
```

--------------------------------

### Install Griffe using Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install Griffe using pip. This library is essential for tools that need to parse and understand Python code structure.

```bash
pip install griffe
```

--------------------------------

### Install Pytype via Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install pytype using the Conda package manager from the conda-forge channel. This is an alternative installation method, often preferred in data science environments.

```bash
conda install -c conda-forge pytype
```

--------------------------------

### Install Pyre-check via PyPI

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pyre-check static type checker using pip, the Python package installer. This is the standard method for adding pyre-check to your Python environment.

```bash
pip install pyre-check
```

--------------------------------

### Adding a New Project - Minimal Entry

Source: https://context7.com/ml-tooling/best-of-python-dev/llms.txt

Minimal project entry requires only the name and GitHub ID. Use this for quickly adding new tools to the list.

```yaml
# Minimal project entry (only name and github_id are required)
- name: MyNewTool
  github_id: username/my-new-tool
  category: linters
```

--------------------------------

### Install vulture via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install vulture, a tool for identifying and removing dead Python code, using pip.

```bash
pip install vulture
```

--------------------------------

### Install pre-commit via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the 'pre-commit' tool using pip. This is a widely used framework for managing pre-commit hooks in Python projects.

```bash
pip install pre-commit
```

--------------------------------

### Install jedi via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the jedi library, which provides autocompletion, static analysis, and refactoring capabilities for Python, using pip.

```bash
pip install jedi
```

--------------------------------

### Install scons using Conda

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the scons package using Conda.

```bash
conda install -c conda-forge scons
```

--------------------------------

### Install pytest-mypy via Pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pytest-mypy plugin using pip.

```bash
pip install pytest-mypy
```

--------------------------------

### Install pip using pip

Source: https://github.com/ml-tooling/best-of-python-dev/blob/main/README.md

Install the pip package manager using pip itself. This is useful for bootstrapping or updating pip.

```bash
pip install pip
```