Jupyter Notebook anomaly-detection

Open-source Jupyter Notebook projects categorized as anomaly-detection

Top 5 Jupyter Notebook anomaly-detection Projects

  • pycaret

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

  • loglizer

    A machine learning toolkit for log-based anomaly detection [ISSRE'16]

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • telemanom

    A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

  • SKAB

    SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

  • Project mention: SKAB: NEW Data - star count:238.0 | /r/algoprojects | 2023-09-25
  • QuantumVariationalRewinding

    Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook anomaly-detection related posts

Index

What are some of the best open-source anomaly-detection projects in Jupyter Notebook? This list will help you:

Project Stars
1 pycaret 8,406
2 loglizer 1,226
3 telemanom 950
4 SKAB 292
5 QuantumVariationalRewinding 17

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