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Grooper

Innovate workflows by integrating difficult data
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What is Grooper?

It empowers rapid innovation for organizations processing and integrating large quantities of difficult data. Created by a team of courageous developers frustrated by limitations in existing solutions, It is an intelligent document and digital data integration platform. It combines patented and sophisticated image processing, capture technology, machine learning, and natural language processing.
Grooper is a tool in the Data Science Tools category of a tech stack.
Pros of Grooper
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Grooper's Features

  • Text and Document Classification
  • Hierarchical Data Modeling
  • Image Capture
  • Electronic Document Handling
  • Image Processing and Computer Vision
  • OCR
  • Data Extraction
  • Machine Learning
  • Natural Language Processing
  • Fuzzy Data Handling
  • Data Output
  • Document Rendering

Grooper Alternatives & Comparisons

What are some alternatives to Grooper?
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.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
See all alternatives