perses VS temporian

Compare perses vs temporian and see what are their differences.

perses

The CNCF candidate for observability visualisation. Already supports Prometheus - more data sources to come! (by perses)

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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perses temporian
5 12
523 624
10.1% 12.0%
9.7 9.8
5 days ago 7 days ago
TypeScript Python
Apache License 2.0 Apache License 2.0
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.

perses

Posts with mentions or reviews of perses. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-31.

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.

What are some alternatives?

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

Mixin - Mixin is a trait/mixin and bytecode weaving framework for Java using ASM

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

OpenVoice - Instant voice cloning by MyShell.

bytecode-viewer - A Java 8+ Jar & Android APK Reverse Engineering Suite (Decompiler, Editor, Debugger & More)

tsflex - Flexible time series feature extraction & processing

pixie - Instant Kubernetes-Native Application Observability

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

Recaf - The modern Java bytecode editor

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

Maker - Lightweight, full-featured, low-level dynamic Java class generator designed for ease of use.

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.