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Confidently remove secrets and sensitive values from unstructured objects.
Manage unstructured data using DataSet. Add, update, and remove data, and listen for changes in the data.
UQL - Unstructured Query Language
Unstructured P2P library for use with Lisk-related software
`@xpert-ai/plugin-unstructured` brings the [Unstructured](https://www.unstructured.io/) document partitioning API into the [Xpert AI](https://github.com/xpert-ai/xpert) platform. It lets ingestion workflows call Unstructured’s `/general/v0/general` endpoi
Upgraeability using unstructured storage
Pipedream Unstructured Components
CoffeeQL — The query language for structured and unstructured data
A C++ based data analytics platform for processing large-scale real-time streams containing structured and unstructured data
A lightweight, standalone JavaScript library for parsing and processing VTK Unstructured Grid (.vtu) files in both browser and Node.js environments. Complete VTK-style API with zero dependencies for scientific visualization.
Types and functions for processing unstructured tabular data
Unstructured P2P library for use with Lisk-related software
YDB Topics client for publish-subscribe messaging. Provides at-least-once delivery, exactly-once publishing, FIFO guarantees, and scalable message processing for unstructured data.
`@agentxin-ai/plugin-unstructured` brings the [Unstructured](https://www.unstructured.io/) document partitioning API into the [AgentXin AI](https://github.com/agentxin-ai/agentxin) platform. It lets ingestion workflows call Unstructured’s `/general/v0/gen
Mashes an unstructured texst into another unstructured text allowing for subsequent mashing updates
Content Classification System - infer semantic information about unstructured data
T8 is a text visualization solution for unstructured data within the AntV technology stack, and it is a declarative T8 markdown syntax that can be used to describe the content of data interpretation reports.
A serialization format optimized for fast random access of unstructured data
access unstructured data without errors
Compose a structured data from unstructured text using regex-based pattern matching
A Node-native log investigator: eats messy unstructured app output, groups stack traces, collapses repeats, and summarizes what went wrong with AI.
👉 https://hyper.fun/c/carbon-icon-data-unstructured/1.3.0
Unstructured P2P library for use with Klayr-related software
Generic types for unstructured data
SDK for the Ubiq Security platform
Unofficial Unstructured Rust client library
Traits for converting Rust data structures to/from unstructured bytes
Traits for converting Rust data structures to/from unstructured bytes
Simple and efficient expression and byte sequence generator for fuzz testing.
The trait for generating structured data from unstructured data
A GraphQL test case generator.
A Smart Contract which enables the storage of arbitrary unstructured Objects.
GlueSQL - Open source SQL database engine fully written in Rust with pure functional execution layer, easily swappable storage and web assembly support!
Provides combinator functions to generate standard collections with custom arbitrary function.
ReductStore is a time series database designed specifically for storing and managing large amounts of blob data.
Unstructured API wrapper. This gem allows you to interact with the Unstructured API.
This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program
This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/logstash-plugin install gemname. This gem is not a stand-alone program
Consumes simple data structures, produces elementary statistics
Using a variety of APIs (Yahoo term Extractor and Alchemy are currently supported), semantic_extraction can automatically return a collection of keywords for an arbitrary block of text. If using Alchemy, it can also return named entities.
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A Lita handler for Wit.
Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.
Extends classes with a `log` method
Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1beta3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.
Wonderboom is a Ruby library for extracting information from unstructured documents via regular expressions.
Horizonts api integration for get, search and search unstructured
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