10 CLI Tools Every Python Developer Should Know in 2025
As a Python developer, your terminal is your best friend. While pip and python get you far, the right CLI tools can supercharge your workflow. Here are 10 command-line tools that will make you significantly more productive.
1. 🐍 uv — The Future of Python Package Management
uv by Astral (the Ruff team) is a blazing-fast Python package installer and resolver, written in Rust. It's a drop-in replacement for pip and pip-tools that's 10-100x faster.
# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create a project with virtualenv
uv init my-project
uv add requests pandas
# Run a script with auto-managed deps
uv run script.py
Why it matters: It replaces pip, virtualenv, pip-tools, and poetry with a single, faster tool.
2. 🦀 ruff — Instant Python Linting & Formatting
Ruff is another Rust-powered tool that replaces Flake8, isort, Black, and more — running in milliseconds instead of seconds.
pip install ruff
# Lint
ruff check .
# Format (replaces Black)
ruff format .
# Fix auto-fixable issues
ruff check --fix .
Why it matters: One tool replaces 6+ linters and formatters. Your CI pipeline will thank you.
3. 📦 pipdeptree — Visualize Your Dependency Tree
Ever wondered why a package pulled in 50 transitive dependencies?
pip install pipdeptree
pipdeptree --packages requests
This shows you exactly which packages depend on what, making it easy to spot conflicts and bloat.
4. 🧪 pytest — Testing Made Painless
Yes, pytest is the standard, but many devs still don't use it to its full potential:
pip install pytest pytest-cov pytest-xdist
# Run with coverage
pytest --cov=myapp tests/
# Parallel execution (massive speedup!)
pytest -n auto
# Only run failed tests from last run
pytest --lf
Pro tip: Use pytest -k "test_name" to run a subset of tests while debugging.
5. 🔍 rich — Beautiful Terminal Output
Rich makes your CLI tools look professional with syntax highlighting, tables, progress bars, and tracebacks.
pip install rich
python -m rich
Example:
from rich.console import Console
from rich.table import Table
console = Console()
table = Table(title="Deploy Status")
table.add_column("Service")
table.add_column("Status")
table.add_row("API", "✅ healthy")
console.print(table)
Why it matters: Better CLI output reduces debugging time and makes internal tools easier for teams to use.
6. 🌍 httpie — Human-Friendly API Testing
curl is powerful, but httpie is much easier to read when testing APIs.
pip install httpie
http GET https://api.github.com/users/octocat
http POST localhost:8000/items name="demo" price:=19.99
Why it matters: If you build FastAPI, Django, Flask, or any HTTP service, this is one of the fastest ways to test endpoints from the terminal.
7. 🧹 pre-commit — Stop Bad Code Before Git Commit
pre-commit runs formatters, linters, and security checks before code reaches your repository.
pip install pre-commit
pre-commit install
Example .pre-commit-config.yaml:
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.6.0
hooks:
- id: ruff
args: [--fix]
- id: ruff-format
Why it matters: It creates a quality gate that runs automatically, not only when someone remembers.
8. 🔐 pip-audit — Find Vulnerable Dependencies
Dependency security is no longer optional. pip-audit checks your installed packages against known vulnerabilities.
pip install pip-audit
pip-audit
You can also audit a requirements file:
pip-audit -r requirements.txt
Why it matters: It is a quick security win for side projects, SaaS apps, and production APIs.
9. 📊 py-spy — Profile Python Without Changing Code
Performance problems are hard to solve if you are guessing. py-spy lets you profile a running Python process.
pip install py-spy
py-spy top --pid 12345
py-spy record -o profile.svg -- python app.py
Why it matters: You can see where time is actually going instead of optimizing random functions.
10. 🗂️ typer — Build Clean Python CLIs Fast
If you need to build your own command-line apps, typer is one of the best choices. It is built on Click and uses type hints beautifully.
pip install typer
import typer
app = typer.Typer()
@app.command()
def hello(name: str):
print(f"Hello {name}")
if __name__ == "__main__":
app()
Run it:
python app.py hello Alice
Why it matters: Internal automation scripts become easier to maintain when they have proper arguments, help text, and validation.
My Recommended Setup
If you want the highest productivity boost with the least setup, start with this combo:
pip install uv ruff pytest rich httpie pre-commit pip-audit
Then add a basic workflow:
ruff format .
ruff check --fix .
pytest
pip-audit
That gives you formatting, linting, testing, and security scanning in minutes.
Final Thoughts
The Python ecosystem is moving toward faster, more integrated developer tooling. Tools like uv and ruff show how much speed matters, while pre-commit, pip-audit, and py-spy help teams ship safer and more reliable code.
You do not need to adopt everything at once. Pick one tool from this list, add it to your daily workflow, and measure how much time it saves.
Check out my AI Prompt Packs: https://payhip.com/b/ADsQI | https://payhip.com/b/6lqVh | https://payhip.com/b/XLNPm | https://payhip.com/b/CAN9Z
Top comments (0)