etna-ts

v1.3.1

ETNA is the first python open source framework of Tinkoff.ru AI Center. It is designed to make working with time series simple, productive, and fun. For more information about how to use this package see README

Latest version published 3 years ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

51 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Active

Popularity

Small

GitHub Stars: 862
Forks: 80
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package etna-ts, we found that it has been starred 862 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Nov 12, 2021
Direct Vulnerabilities: 0
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0
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Indirect Vulnerabilities: 0
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License Risk: 1
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

archived

Commit Frequency

No Recent Commits

Open Issues: 42
Open PR: 7
Last Release: 3 years ago
Last Commit: 1 year ago

Further analysis of the maintenance status of etna-ts based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for etna-ts is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 30
Funding: No

With more than 10 contributors for the etna-ts repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.6.2,<3.9.0

Age: 3 years
Latest Release: 3 years ago
Dependencies: 15 Direct / 114 Total
Versions: 12
Maintainers: 2
Wheels: OS Independent

Readme

ETNA Time Series Library

Homepage | Documentation | Tutorials | Contribution Guide | Release Notes

ETNA is an easy-to-use time series forecasting framework. It includes built in toolkits for time series preprocessing, feature generation, a variety of predictive models with unified interface - from classic machine learning to SOTA neural networks, models combination methods and smart backtesting. ETNA is designed to make working with time series simple, productive, and fun.

ETNA is the first python open source framework of Tinkoff.ru Artificial Intelligence Center. The library started as an internal product in our company - we use it in over 10+ projects now, so we often release updates. Contributions are welcome - check our Contribution Guide.

Installation

ETNA is on PyPI, so you can use pip to install it.

pip install --upgrade pip
pip install etna-ts

Get started

Here's some example code for a quick start.

import pandas as pd
from etna.datasets.tsdataset import TSDataset
from etna.models import ProphetModel

# Read the data
df = pd.read_csv("examples/data/example_dataset.csv")

# Create a TSDataset
df = TSDataset.to_dataset(df)
ts = TSDataset(df, freq="D")

# Choose a horizon
HORIZON = 8

# Fit the model
model = ProphetModel()
model.fit(ts)

# Make the forecast
future_ts = ts.make_future(HORIZON)
forecast_ts = model.forecast(future_ts)

Tutorials

We have also prepared a set of tutorials for an easy introduction:

Notebook	Interactive launch
Get started
Backtest
EDA
Outliers
Clustering
Deep learning models
Ensembles

Documentation

ETNA documentation is available here.

Acknowledgments

ETNA.Team

Alekseev Andrey, Shenshina Julia, Gabdushev Martin, Kolesnikov Sergey, Bunin Dmitriy, Chikov Aleksandr, Barinov Nikita, Romantsov Nikolay, Makhin Artem, Denisov Vladislav, Mitskovets Ivan, Munirova Albina

ETNA.Contributors

Levashov Artem, Podkidyshev Aleksey

License

Feel free to use our library in your commercial and private applications.

ETNA is covered by Apache 2.0. Read more about this license here

etna-ts dependencies

catboost dill hydra-slayer ipywidgets loguru numba omegaconf pandas ruptures saxpy scikit-learn seaborn statsmodels toml typer

FAQs

What is etna-ts?

ETNA is the first python open source framework of Tinkoff.ru AI Center. It is designed to make working with time series... Visit Snyk Advisor to see a full health score report for etna-ts, including popularity, security, maintenance & community analysis.

Is etna-ts popular?

The python package etna-ts receives a total of 161 weekly downloads. As such, etna-ts popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is etna-ts well maintained?

We found indications that etna-ts is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is etna-ts safe to use?

While scanning the latest version of etna-ts, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 24 November-2024, at 04:40 (UTC).

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Readme

ETNA Time Series Library

Installation

Get started

Tutorials

Documentation

Acknowledgments

ETNA.Team

ETNA.Contributors

License

etna-ts dependencies

FAQs

What is etna-ts?

Is etna-ts popular?

Is etna-ts well maintained?

Is etna-ts safe to use?

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Source Code

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