OPEN SOURCE ENGINEERING LAB

Next-Gen Python Infrastructure. Built for Speed.

We build open-source Python infrastructure and developer tools designed to make modern software faster, simpler, and more reliable.

Python Native Async & High Performance
100% Free MIT / Open Source
Zero Bloat Minimal Dependencies
async_sync: OK zero_n_plus_1

MODULAR ECOSYSTEM

Open Source Projects

Tools and infrastructure built for modern Python developers.

LunarDump

v0.3.0

"Lightweight. Fast. Zero-Trust."

A lightweight, zero-trust CLI tool built in Python to automate, encrypt, and stream database backups directly to multi-cloud storage.

Python CLI Database Cloud

CORE PHILOSOPHY

Engineering, Not Hype.

LunarPy-Labs focuses on solving practical engineering problems through open-source software, careful architecture, and measurable performance.

01

Performance

"Measure first. Optimize what matters."

Benchmark driven design with zero hidden allocations.

02

Simplicity

"Powerful infrastructure should remain approachable."

Clean APIs with minimal configuration overhead.

03

Developer Experience

"Tools should make developers faster, not add unnecessary complexity."

Intuitive CLI tooling and complete type hints.

04

Open Source

"Build in the open. Learn in the open. Improve together."

Transparent development with community engagement.

TECHNICAL STACK

Built With Modern Technology

Technologies explored and used across the LunarPy-Labs ecosystem.

Python
Rust
Cython
AsyncIO
PostgreSQL
MySQL
Docker
GitHub Actions
Cloud Storage

LEADERSHIP & CONTRIBUTORS

Core Maintainers

Engineering leadership driving LunarPy-Labs projects and open-source infrastructure.

Indhi Farhandika

Indhi Farhandika

Lead

@indhifarhandika

Engineered for High-Performance Python Systems.

Core Architect & Founder Active Maintainer

Join as Contributor

Open Source Community

We welcome developer contributions, documentation improvements, issue reports, and RFC proposals across all LunarPy-Labs projects.

Build the Next Layer.

LunarPy-Labs is built in the open. Explore the projects, experiment with them, report issues, contribute improvements, or build something on top of them.