DeciMojo v0.6.0 released: faster big numbers and cleaner Mojo testing

[forfudan (Yuhao Zhu)]

DeciMojo v0.6.0 is out!

The latest DeciMojo releases focus on significantly expanding high-precision math capabilities and improving long-term maintainability.

v0.5.0 (feature-heavy release)

• Major upgrades to BigUInt and BigDecimal, with substantial performance improvements.

• Added high-precision math support, including trigonometric functions and π computation (Chudnovsky algorithm).

• Introduced faster algorithms for large numbers (Karatsuba multiplication, Burnikel-Ziegler division), SIMD optimizations, and more efficient in-place operations.

• API refinements such as renaming Decimal → Decimal128 and improved error handling via a unified DeciMojoError.

v0.6.0 (infrastructure & compatibility release)

• Migrated the entire test suite to Mojo’s native TestSuite framework, replacing deprecated tooling.

• Updated the codebase for compatibility with Mojo v0.25.7.

You can install DeciMojo v0.6.0 by adding the following line to the dependencies section of your pixi.toml file:

[dependencies]
decimojo = "==0.6.0"

Full release notes and details are available in the GitHub repo:
https://github.com/forfudan/decimojo/releases

[clattner (Chris Lattner)]

This is really cool Yuhao! Do you have any specific applications that could be built on top of this that you’d like others to pursue? It could be a great learning project for someone to try that out!

[forfudan (Yuhao Zhu)]

Thank you, Chris!

The most straightforward use of DeciMojo is as a pure-Mojo alternative to Python’s int, especially when you need big integers. It also covers much of what Python’s decimal module is used for.

On top of that, it could be a fun foundation for learning projects like a finance/tax or invoice calculator, a scientific calculator, stable JSON serialization for exact numeric output, or even basic symbolic computation.