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-watch for automatic re-running during development.

5. 🔄 watchfiles / watchdog — Auto-Run on File Changes

Stop manually restarting your server every time you save:

pip install watchfiles

# Run tests on every change
watchfiles "pytest" .

Or use watchdog for more complex triggers and shell commands.

6. 🐘 pgcli — A Better PostgreSQL Client

If you use PostgreSQL, pgcli gives you auto-completion and syntax highlighting:

pip install pgcli
pgcli my_database

It auto-completes tables, columns, and even SQL keywords. Your psql days are over.

There are similar tools: mycli for MySQL, litecli for SQLite, and mssql-cli for SQL Server.

7. 📊 rich — Beautiful Terminal Output

Rich makes your CLI scripts look amazing:

from rich.console import Console
from rich.table import Table
from rich.progress import track

console = Console()

# Beautiful tables
table = Table(title="API Response Times")
table.add_column("Endpoint", style="cyan")
table.add_column("Avg (ms)", style="green")
table.add_row("/api/users", "23")
table.add_row("/api/orders", "156")
console.print(table)

# Progress bars
for task in track(tasks, description="Processing..."):
    process(task)

8. 📡 httpie — cURL, But Human-Friendly

HTTPie makes API testing feel natural:

# POST with JSON body
http POST api.example.com/data name="Alice" role=admin

# Custom headers and auth
http GET api.example.com/me Authorization:"Bearer TOKEN"

# Download and format JSON response
http GET api.example.com/users --print=b | jq .

The newer httpie has a terminal UI mode (http --offline) that's even more powerful.

9. 🔍 ripgrep (rg) — Search Code at Lightning Speed

Not Python-specific, but essential for any developer:

# Find all TODOs in your project
rg "TODO" --type py

# Search with context lines
rg "class User" -C 3

# Exclude directories
rg "import" -g '!venv/**' -g '!__pycache__/**'

It's so fast you'll never use grep -r again.

10. 🚀 nox — Automated Session Management

Nox lets you define multiple Python environments for testing, linting, and building:

import nox

@nox.session(python=["3.10", "3.11", "3.12"])
def tests(session):
    session.install(".[test]")
    session.run("pytest")

@nox.session
def lint(session):
    session.install("ruff")
    session.run("ruff", "check", ".")

Run nox and it'll test your project across all Python versions automatically.

Bonus: ipython + pdb++

pip install ipython pdbpp

Drop import ipdb; ipdb.set_trace() anywhere in your code for a dramatically better debugging experience compared to the built-in pdb.

Summary Table

Conclusion

The Python ecosystem's CLI tools have gotten dramatically better in the last few years, largely thanks to Rust-powered tools like uv and ruff. If you're still using pip alone and flake8 with 20 plugins, it's time to upgrade.

Start with uv and ruff — they'll have the biggest immediate impact on your daily workflow.

What CLI tools do you use every day? Share in the comments!