temporian VS OpenVoice

Compare temporian vs OpenVoice and see what are their differences.

temporian

Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖 (by google)
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temporian OpenVoice
12 14
629 23,872
2.6% 31.1%
9.8 8.8
4 days ago 9 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

temporian

Posts with mentions or reviews of temporian. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-05.

OpenVoice

Posts with mentions or reviews of OpenVoice. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-29.

What are some alternatives?

When comparing temporian and OpenVoice you can also consider the following projects:

functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality

tsflex - Flexible time series feature extraction & processing

piper - A fast, local neural text to speech system

hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Stirling-PDF - #1 Locally hosted web application that allows you to perform various operations on PDF files

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse

featuretools - An open source python library for automated feature engineering

JavaOnRaspberryPi - Sources and scripts for the book "Getting started with Java on the Raspberry Pi"