Skip to main content

rustico

PyPI - Version PyPI - Python Version License

A Schrödinger's Cat for Python error handling: your result is both alive and dead—until you unwrap it.

What is rustico?

rustico brings the power and elegance of Rust's Result type to Python. Every operation is either a success (Ok) or a failure (Err), and you must explicitly handle both. No more try/except hell—just beautiful, predictable, and composable error handling.

Schrödinger's Cat: The Metaphor

Imagine every function call as a box containing Schrödinger's cat. Until you open (unwrap) the box, the cat is both alive (Ok) and dead (Err). With rustico, you don't have to guess or hope—when you unwrap the result, you'll know exactly what you got, and you'll handle both cases explicitly.

Key Features

  • 🔒 Can't Forget Error Handling: The type system forces you to handle both cases
  • 📍 Precise Error Information: Know exactly what and where things failed
  • 🧩 Composable: Chain operations without nested try/except blocks
  • 🎯 Early Exit: Stop processing on first error automatically
  • 🔍 Type Safe: Your IDE knows about both success and error cases
  • ⚡ Async Support: First-class support for async/await
  • 🧪 Test Friendly: Easily mock and test error conditions

Installation

Python 3.8+ is required.

You can install rustico using pip:

pip install rustico

Quick Example

Here's a taste of how rustico simplifies error handling:

from rustico import Ok, Err, Result

def divide(numerator: float, denominator: float) -> Result[float, str]:
    """Divides two numbers, returning an Ok result or an Err if division by zero occurs."""
    if denominator == 0:
        return Err("Cannot divide by zero!")
    return Ok(numerator / denominator)

# --- Usage Examples ---

# Successful division
result_success = divide(10, 2)
if result_success.is_ok():
    print(f"Success: {result_success.unwrap()}") # Output: Success: 5.0

# Failed division
result_failure = divide(10, 0)
if result_failure.is_err():
    print(f"Error: {result_failure.unwrap_err()}") # Output: Error: Cannot divide by zero!

# Chaining operations
def multiply_by_two(value: float) -> Result[float, str]:
    return Ok(value * 2)

chained_result = divide(20, 4).and_then(multiply_by_two)
if chained_result.is_ok():
    print(f"Chained Success: {chained_result.unwrap()}") # Output: Chained Success: 10.0

failed_chained_result = divide(20, 0).and_then(multiply_by_two)
if failed_chained_result.is_err():
    print(f"Chained Error: {failed_chained_result.unwrap_err()}") # Output: Chained Error: Cannot divide by zero!

For detailed documentation, see the full documentation.

License

rustico is distributed under the MIT License. See the LICENSE file for more information.

Release files for rustico 1.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rustico 1.0.2
File Size Uploaded
rustico-1.0.2.tar.gz 23.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for rustico 1.0.2
File Interpreter ABI Platform
rustico-1.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 44.8 kB

Release files / rustico-1.0.2.tar.gz

Download URL rustico-1.0.2.tar.gz
Size 23.6 kB
Tags Source
SHA-256 checksum
How to use checksums
168e85a378387da1aba5ce943d9f3d077842196a7ced187b9c8a460da260128f
BLAKE2b-256 checksum
How to use checksums
d9601fc8d0f01b09b024cf8b82a73761fe744a60660e6393e6327aa75ec8be80
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.20

Release files / rustico-1.0.2-py3-none-any.whl

Download URL rustico-1.0.2-py3-none-any.whl
Size 21.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2fe92218fde2637b8a15008fbc285094057a0581de82aa04b124aef01b89abae
BLAKE2b-256 checksum
How to use checksums
cb3bbd0927a35abda342f9afdcee9a538ef7a403d5cf1615cce5e82b867f5cdf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.20

Release history Release notifications | RSS feed

This release

1.0.2 This release

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page