nimo

NIMO is a Python library to realize a closed loop of robotic experiments and artificial intelligence without human intervention for automated materials exploration. We started development as NIMS-OS (NIMS Orchestration System) (https://github.com/nimsos-dev/nimsos) and decided to adopt NIMO as a nickname to promote it as open source software. NIMO can perform automated materials exploration in various combinations by considering artificial intelligence and robotic experiments as modules. As artificial intelligence technique for materials science, Bayesian optimization method (PHYSBO), boundLess objective-free exploration method (BLOX), phase diagram construction method (PDC), Probability that properties within the Target Range (PTR), Bayesian optimization for materials and process parameters (BOMP), Bayesian optimization for combinatorial materials (COMBI), and random exploration (RE) can be used. Visualization tools for the results are also included, allowing users to check optimization results in real time. Newly created modules for artificial intelligence and robotic experiments can be added and used. More modules will be added in the future.

Document

Required Packages

Python >= 3.6
matplotlib
numpy
physbo >= 3.1.0
scikit-learn
scipy
pyDOE3
anthropic

Install

From PyPI (recommended)
```
pip install nimo
```
From source
1. Download or clone the github repository
```
git clone https://github.com/NIMS-DA/nimo
```
1. Install via pip in the nimo-main folder
```
pip install .
```

Uninstall

pip uninstall nimo

License

The program package and the complete source code of this software are distributed under the MIT License.

Metadata

Release files for nimo 2.1.5

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

Source distribution (sdist)

Source distribution for nimo 2.1.5
File	Size	Uploaded
nimo-2.1.5.tar.gz	41.8 kB	Sep 13, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for nimo 2.1.5
File	Interpreter	ABI	Platform	Reset
nimo-2.1.5-py3-none-any.whl 68.5 kB Sep 13, 2026	Python 3	none	any	Details

Total release size: 110.4 kB

Release files / nimo-2.1.5.tar.gz

Download URL	nimo-2.1.5.tar.gz
Size	41.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`0271337f08366aa7d025347915eac73cc4a99a48c2ac462aa3b815ba0a84eebf`
BLAKE2b-256 checksum How to use checksums	`c3841b0fc24577d4253e9c888b117f1df88b608c27ec91d3089020fbaf0240a1`
Upload date	Sep 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.8`

Release files / nimo-2.1.5-py3-none-any.whl

Download URL	nimo-2.1.5-py3-none-any.whl
Size	68.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`30715a6062ea7d399f2426a8bbb84a9b3d6de3169198559089de4d18e414b5cf`
BLAKE2b-256 checksum How to use checksums	`38a5771922d7c4598f719875d45fc30f9b9501a8df6fb775bd53d6ed3e60bcce`
Upload date	Sep 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.12.8`