tooth-python

library0.1.5pypypi✓ verified 26d ago

tooth-python is a very basic Python library designed for simple text generation tasks. It provides fundamental functions to generate text. Currently at version 0.1.5, its release cadence appears to be low, with infrequent updates observed on its GitHub repository.

ai-ml llm-agents

pip install tooth-python

github ↗package ↗

INSTALL

IMPORT

SIG · TOOTH-PYTHON

tooth-python

ai-mlpythonv0.1.5

Install

1.7s avg

Import

—

Disk

16MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.1.5 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 17.8MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.7s · import 0.000s · 18MB

16MB installed

● package 16MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Tooth

✓ from tooth import Tooth

Instantiate the Tooth class and use the generate method with a starting string. You can also customize the vocabulary used for generation upon initialization.

from tooth import Tooth tooth_generator = Tooth() result = tooth_generator.generate("Hello") print(f"Generated text: {result}") # Example with custom vocabulary custom_vocab_generator = Tooth(vocab=["a", "b", "c", "d"]) custom_result = custom_vocab_generator.generate("start") print(f"Generated text with custom vocab: {custom_result}")

Debug

Known issues

gotchaThe library is described as 'very basic' and its text generation is highly simplistic. Users expecting advanced or coherent text completion (e.g., like a large language model) will find the output to be rudimentary and non-contextual, often appending predefined or non-sensical characters. For example, 'tooth.generate("Hello")' returns 'Toothハ'.

fix

Review the project's capabilities on GitHub to ensure it meets your specific text generation needs. Consider using more advanced libraries for complex tasks.

affects: 0.1.0 and later

gotchaThe library is licensed under CC0, which means it is effectively dedicated to the public domain. While this offers maximum freedom, it also implies no warranty, no support, and no liability from the authors, which might be a concern for commercial or critical projects.

fix

Understand the implications of the CC0 license for your project's legal and support requirements. Be prepared for self-support or consider alternative libraries with more traditional open-source licenses.

affects: 0.1.0 and later

gotchaThe GitHub repository shows minimal activity (1 star, 0 forks, low commit count) and no open issues or pull requests. This suggests very limited community support, slow development, and potential long-term maintenance risks.

fix

Evaluate the project's long-term viability based on your needs. For critical applications, consider maintaining your own fork or seeking more actively developed alternatives.

affects: 0.1.0 and later

Upgrade

Version history

0.1.5latest on PyPI · released Nov 16, 2025

Audit

Dependencies

No dependency data recorded yet.

Agent activity

37 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/Cheesecake2960/tooth ↗

packagehttps://pypi.org/project/tooth-python/ ↗