The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 5 Jupyter Notebook anomaly-detection Projects
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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.
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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.
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SKAB
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
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QuantumVariationalRewinding
Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case
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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.
Jupyter Notebook anomaly-detection related posts
- SKAB: NEW Data - star count:238.0
- SKAB: NEW Data - star count:238.0
- SKAB: NEW Data - star count:238.0
- SKAB: NEW Data - star count:238.0
- [N] Introducing Anomalib: A library for benchmarking, developing and deploying deep learning anomaly detection algorithms by Intel
- SKAB: NEW Data - star count:102.0
- SKAB: NEW Data - star count:102.0
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A note from our sponsor - WorkOS
workos.com | 30 Apr 2024
Index
What are some of the best open-source anomaly-detection projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | pycaret | 8,406 |
2 | loglizer | 1,226 |
3 | telemanom | 950 |
4 | SKAB | 292 |
5 | QuantumVariationalRewinding | 17 |
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