skillfed

u8darts

⚠️ DEPRECATED - Use 'darts' package instead. This legacy compatibility package redirects to 'darts'.

u8darts v0.41.0 119.8K downloads/30d#12,054 on PyPI9,493
Permissive license Apache-2.0 Active released

What it is and what it does

u8darts 0.41.0 is a deprecated package that serves as a migration bridge from the old u8darts namespace to the new darts package. It is not a standalone library but a compatibility layer that redirects users to darts, which is a Python library for time series forecasting and anomaly detection. The darts library provides a unified interface for classical models like ARIMA and modern deep learning approaches, supporting both univariate and multivariate time series with probabilistic forecasting capabilities.

The package is no longer actively developed—u8darts itself is marked as inactive, and users are explicitly instructed to migrate to darts instead. Installing u8darts 0.41.0 will pull in darts as its sole runtime dependency, making it functionally equivalent to installing darts directly. The migration is straightforward: replace u8darts imports with darts and update requirements files accordingly.

Use it for:

  • Migrating legacy code that imports u8darts to the current darts package without rewriting imports immediately.
  • Temporary compatibility layer for projects with dependencies that still reference u8darts instead of darts.
  • Understanding the deprecation path when encountering u8darts in older codebases or requirements files.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

u8darts is a deprecated compatibility shim that redirects to the darts package for time series forecasting and anomaly detection.

No. Do not install u8darts 0.41.0. The package is deprecated and explicitly marked inactive. Install darts directly instead using pip install "darts[option]>=0.41.0". If u8darts appears in your dependency tree, update the package that depends on it to use darts, or pin darts yourself to satisfy the transitive dependency.

Install

u8darts on PyPI

pip

pip install u8darts

uv

uv add u8darts

poetry

poetry add u8darts

Installing u8darts

Before you install

Low install friction, but the package is deprecated as of version 0.41.0 and marked inactive. The underlying darts dependency is actively maintained with recent commits and high repository engagement.

License in practice

Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions.

Quickstart

# Do not use u8darts. Install darts instead:
# pip install "darts>=0.41.0"

from darts import TimeSeries
from darts.models import ExponentialSmoothing

# u8darts 0.41.0 is a redirect; use darts directly.

u8darts 0.41.0 is deprecated. Requires Python >=3.10. Use darts package instead.

Verify before relying

  • Whether u8darts 0.41.0 fully maintains API compatibility with darts or introduces breaking changes during the migration.
  • Performance or behavioral differences between using u8darts 0.41.0 and installing darts directly.

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 1 — darts
Maintenance actively maintained — 185 days since the last release
Last repo commit
First released
Downloads 119,837/month — #12,054 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: u8darts-0.41.0-py3-none-any.whl

Keywords: time series, forecasting

Development Status :: 7 - InactiveIntended Audience :: DevelopersIntended Audience :: Science/ResearchOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Topic :: Scientific/EngineeringTopic :: Software Development

Tags

time series forecastinganomaly detection time seriesARIMA neural networksmultivariate forecastingprobabilistic forecasting
deprecatedmigration-shim

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