FAQ

FAQ - NanoStack Lab | Open Source Scientific Software

Frequently Asked Questions

Everything about NanoStack Lab — open science, corrosion simulation, FTIR analysis, and lab automation

6+
Open Modules
100%
Open Source
MIT/APACHE
Free License
24/7
Community Support

Our Mission

Democratize scientific software with free, open‑source tools for nanotechnology, corrosion, FTIR, and intelligent labs — for every researcher and engineer.

Our Vision

Open, collaborative, and barrier‑free lab technology accelerating global scientific discovery through shared code and knowledge.

Our Values

  • Open Science & Transparency
  • Community-Driven Development
  • Rigor & Reproducibility
  • Accessibility for All
KNOWLEDGE BASE

Common questions
answered

Find quick answers about our open-source scientific stack
What is NanoStack Lab?

NanoStack Lab is an open‑source platform focused on nanotechnology, chemistry apps, scientific software, FTIR analysis, and intelligent lab automation. All tools are free and built for Python/Java environments.

Are the tools really free?

Yes — MIT, Apache 2.0, and GPL licensed. No license keys, no hidden fees. Use them in research, teaching, or commercial projects.

Which languages do you support?

Python 3.9+ and Java 11+. We provide PyQt6, pandas, numpy, scipy, matplotlib, and Java APIs for enterprise integrations.

How to install CorroSim / SpecATR?

pip install corro-sim or git clone https://github.com/nanostack-lab/specatr. Full docs in each repository.

Can I use them for commercial research?

MIT / Apache modules allow commercial integration. GPL modules require derivative work to stay open source. Always check the license file.

How to contribute?
  • Open GitHub issues / PRs
  • Improve documentation
  • Join community discussions
  • Share your use cases
Is support available?

Community support via GitHub. Priority support is included in Lab / Enterprise plans (training, SLAs, custom modules). Email Contact-us.

Are the modules validated?

We follow ASTM standards (G5, G59, G102, G106). Data integrity uses SHA‑256 checksums, SQLite ORM, and tests coverage >80%.

Roadmap highlights?
  • ML corrosion prediction (Q4 2026)
  • Real‑time FTIR streaming
  • Web dashboard + LIMS integration
Is there a web version?

Currently desktop‑first (PyQt, Java). A cloud dashboard is on the roadmap for 2026/2027.

Still have questions?

Our team and community are ready to help you.

Contact Support