pyod
CueObserve
Our great sponsors
| pyod | CueObserve | |
|---|---|---|
| 7 | 6 | |
| 7,941 | 205 | |
| - | 0.0% | |
| 7.7 | 0.0 | |
| 4 days ago | about 2 years ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | Apache License 2.0 |
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
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A Comprehensive Guide for Building Rag-Based LLM Applications
This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
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Analyze defects and errors in the created images
PyOD
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Multivariate Outlier Detection in Python
Check out the algorithms and documentation in this toolkit. It’ll give you a list of methods to read up on to understand their mechanisms. https://github.com/yzhao062/pyod
- Pyod – A Comprehensive and Scalable Python Library for Outlier Detection
- Predictive Maintenance and Anomaly Detection Resources
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[D] Unsupervised Outlier Detection - Advise Requested
The source code and documentaion of PyOD is the best survey about OOD. Besides, the normalized flow and VQVAE are also feasible.
- PyOD: ~50 anomaly detection algorithms in one framework.
CueObserve
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[Project] Open-source Anomaly detection on SQL data
We are building CueObserve, an open source repo to run anomaly detection on data in your SQL data warehouses and databases. It currently supports BigQuery, RedShift, Snowflake, Postgres, MySQL and Druid. It is available at github.com/cuebook/cueobserve.
- CueObserve - Anomaly detection on SQL data warehouses and databases
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Show HN: CueObserve – Open-source Anomaly detection on SQL data
Hi HN, Sachin here with Ankit, Praveen, Vineet and Vikrant.
With CueObserve, you can run anomaly detection on business metric data in your SQL data warehouses and databases. CueObserve currently supports 6 data sources - BigQuery, RedShift, Snowflake, Postgres, MySQL and Druid.
CueObserve is open-source (https://github.com/cuebook/CueObserve). Docs are at https://cueobserve.cuebook.ai
Do give it a try and let us know. We’d love to hear your thoughts, feedback, and questions.
What are some alternatives?
tods - TODS: An Automated Time-series Outlier Detection System
growthbook - Open Source Feature Flagging and A/B Testing Platform
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
ethereum-etl - Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
alibi-detect - Algorithms for outlier, adversarial and drift detection
bigquery_fdw - BigQuery Foreign Data Wrapper for PostgreSQL
pycaret - An open-source, low-code machine learning library in Python
dbt-ml-preprocessing - A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
luminol - Anomaly Detection and Correlation library
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
diepvries - The Picnic Data Vault framework.