numpy-stl VS pyod

Compare numpy-stl vs pyod and see what are their differences.

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numpy-stl pyod
1 7
594 7,928
- -
6.6 7.7
5 months ago 16 days ago
Python Python
BSD 3-clause "New" or "Revised" License BSD 2-clause "Simplified" 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.

numpy-stl

Posts with mentions or reviews of numpy-stl. We have used some of these posts to build our list of alternatives and similar projects.

pyod

Posts with mentions or reviews of pyod. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-13.

What are some alternatives?

When comparing numpy-stl and pyod you can also consider the following projects:

python-binance - Binance Exchange API python implementation for automated trading

tods - TODS: An Automated Time-series Outlier Detection System

cadquery - A python parametric CAD scripting framework based on OCCT

isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

dpnp - Data Parallel Extension for NumPy

alibi-detect - Algorithms for outlier, adversarial and drift detection

scapy - Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3.

pycaret - An open-source, low-code machine learning library in Python

Deskmat - 900 x 400 Deskmat model/Blender file for keyboard rendering scenes

stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis

pwntools - CTF framework and exploit development library

anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.