PyOmniTS

About PyOmniTS

🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!

benchmarking claude-code codex deep-learning gemini-cli irregular-time-series missing-values openclaw skills time-series

Quick Facts

Stars	105
Forks	15
Language	Python
Category	Codex Skill
License	MIT
Quality Score	34.25/100
Last Updated	2026-10-11
Created	2025-05-20
Platforms	claude-code, cli, codex, gemini, python
Est. Tokens	~616k

Compatible Skills

These tools work well together with PyOmniTS for enhanced workflows:

show-us-your-agent-skills — semantic(0.29)+complementary+same_lang+similar_pop (50%)

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Frequently Asked Questions

What is PyOmniTS?

PyOmniTS is 🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!. It is categorized as a Codex Skill with 105 GitHub stars.

What programming language is PyOmniTS written in?

PyOmniTS is primarily written in Python. It covers topics such as benchmarking, claude-code, codex.

How do I install or use PyOmniTS?

You can find installation instructions and usage details in the PyOmniTS GitHub repository at github.com/Ladbaby/PyOmniTS. The project has 105 stars and 15 forks, indicating an active community.

What license does PyOmniTS use?

PyOmniTS is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools