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STUMPY

A Python library for time series data mining tasks
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What is STUMPY?

Efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks.
STUMPY is a tool in the Big Data Tools category of a tech stack.
STUMPY is an open source tool with 1.1K GitHub stars and 86 GitHub forks. Here’s a link to STUMPY's open source repository on GitHub

Who uses STUMPY?

Developers

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STUMPY Alternatives & Comparisons

What are some alternatives to STUMPY?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
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STUMPY's Followers
5 developers follow STUMPY to keep up with related blogs and decisions.
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