pyod VS llama-hub

Compare pyod vs llama-hub and see what are their differences.

llama-hub

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain (by run-llama)
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pyod llama-hub
7 5
7,962 3,359
- -
7.5 9.6
4 days ago 2 months ago
Python Jupyter Notebook
BSD 2-clause "Simplified" License 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.

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.

llama-hub

Posts with mentions or reviews of llama-hub. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-20.

What are some alternatives?

When comparing pyod and llama-hub you can also consider the following projects:

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

gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]

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

LLMStack - No-code platform to build LLM Agents, workflows and applications with your data

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

model.nvim - Neovim plugin for interacting with LLM's and building editor integrated prompts.

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

vectara-answer - LLM-powered Conversational AI experience using Vectara

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

llm-applications - A comprehensive guide to building RAG-based LLM applications for production.

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

langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]