Contents

functime 0.6.1

0

Time-series machine learning at scale.

Time-series machine learning at scale.

Stars: 546, Watchers: 546, Forks: 24, Open Issues: 7

The neocortexdb/functime repo was created 3 months ago and the last code push was 2 weeks ago.
The project is popular with 546 github stars!

How to Install functime

You can install functime using pip

pip install functime

or add it to a project with poetry

poetry add functime

Package Details

Author
License
Homepage
PyPi:
https://pypi.org/project/functime/
GitHub Repo:
https://github.com/descendant-ai/functime

Classifiers

  • Scientific/Engineering
  • Software Development/Libraries/Python Modules
No  functime  pypi packages just yet.

Errors

A list of common functime errors.

Code Examples

Here are some functime code examples and snippets.

GitHub Issues

The functime package has 7 open issues on GitHub

  • [PROJECT TRACKER] tsfresh time-series features
  • feat: tsfresh features @mathieu
  • feat: tsfresh first pass
  • feat: Add regression-based deseasonalize transform
  • Explain why forecasters drop very short time series

See more issues on GitHub

Related Packages & Articles

streamlit-prophet 1.0.0

Deploy a Streamlit app to train, evaluate and optimize a Prophet forecasting model visually.

orbit-ml 1.1.4.2

Orbit is a package for Bayesian time series modeling and inference.

txtai 6.0.0

All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

vectorbt 0.25.5

The vectorbt library is a powerful tool for Python developers interested in financial analysis. It provides a fast and flexible platform for backtesting trading strategies, operating directly on pandas and NumPy objects and leveraging the speed of Numba for high-performance computations. This package is open-source and is widely used in the algorithmic trading community for quantitative analysis, strategy testing, and research.