tce-lib

Documentation Website

Stable Version Static Badge Linting: Ruff Checked with mypy Tested with pytest Ask DeepWiki

tce-lib logo

🔎 What is tce-lib?

tce-lib is a library for creating and deploying tensor cluster expansion models of concentrated alloys following our work published here. The core philosophy of tce-lib is to respect the strategy pattern as core to the library's functionality. This design pattern stages workflows as sequences of strategies, of which the user can override each. This allows for the majority of users to plug-and-play for an ordinary workflow, while still supporting fine-grained autonomy for more advanced users.

📩 Installation

tce-lib is installable via the Python Package Index:

pip install tce-lib

or, from source:

git clone https://github.com/MUEXLY/tce-lib
pip install -e tce-lib/

📌 Citation

Please cite our work here if you use tce-lib in your work.

💙 Acknowledgements

Authors acknowledge support from the U.S. Department of Energy, Office of Basic Energy Sciences, Materials Science and Engineering Division under Award No. DE-SC0022980.

🐝 Found a bug?

Please open an issue here, with a description of the issue and a minimal, reproducible example of the issue.

📑 License

tce-lib is released under the MIT license.

Project links

Data verified by PyPI on Aug 25, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for jwjeffr from gravatar.com jwjeffr

GitHub Statistics

Data verified by PyPI on Aug 25, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.10

Provides Extra

dev examples

Tags

alloys ase cluster expansion density functional theory machine learning materials science monte carlo scientific computing

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tce_lib-1.0.3.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tce_lib-1.0.3-py3-none-any.whl (2.0 MB view details)

Uploaded Python 3

File details

Details for the file tce_lib-1.0.3.tar.gz.

File metadata

  • Download URL: tce_lib-1.0.3.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for tce_lib-1.0.3.tar.gz
Algorithm Hash digest
SHA256 6136750c3dcca37366f0bf1a94f6cf77e7c9054f9621968a349e825171b9577f
MD5 d2af6b22c911ce806e76cd8d519d5ea9
BLAKE2b-256 51624c2d5051819ebc44f83fa03880f138ed138d12f801a860b15f8d79d97441

See more details on using hashes here.

Provenance

The following attestation bundles were made for tce_lib-1.0.3.tar.gz:

Publisher: workflow.yml on MUEXLY/tce-lib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file tce_lib-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: tce_lib-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for tce_lib-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4bd6b27e61754f833c68ba903b3b5a78f51f01ecb3f0e80f2463e3f242f74ced
MD5 9a8d9587e152c9f3edf608de7acdad9c
BLAKE2b-256 e97175d40d4b66003f9840fdd7b5c3f9aa3a54a55617564e04293abb8da34470

See more details on using hashes here.

Provenance

The following attestation bundles were made for tce_lib-1.0.3-py3-none-any.whl:

Publisher: workflow.yml on MUEXLY/tce-lib

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

1.0.3 This release

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

0.11.1

2 files

0.11.0

2 files

0.10.3

2 files

0.10.2

2 files

0.10.1

2 files

0.9.0

2 files

0.8.5

2 files

0.8.4

2 files

0.8.3

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.3

2 files

0.7.2

2 files

0.7.1

2 files

0.7.0

2 files

0.6.2

2 files

0.6.1

2 files

0.6.0

2 files

0.5.1

2 files

0.5.0

2 files

0.4.3

2 files

0.4.2

2 files

0.4.0

2 files

0.3.3

2 files

0.3.2

2 files

0.3.1

2 files

0.3.0

2 files

0.2.14

2 files

0.2.13

2 files

0.2.12

2 files

0.2.11

2 files

0.2.10

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 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