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Description

An open-source, comprehensive microservice framework offers high performance right out of the box, ensuring compatibility with widely used ecosystems and supporting multiple programming languages. It guarantees service contracts via OpenAPI and features one-click scaffolding to expedite the development of microservice applications. This solution enables the ecological extension for various programming languages, including Java, Golang, PHP, and NodeJS. Apache ServiceComb serves as a robust open-source microservices framework, comprising several components that can be tailored to diverse scenarios through strategic combinations. This guide is designed to help newcomers swiftly get acquainted with Apache ServiceComb, making it an ideal starting point for beginners. Additionally, the framework allows for a separation between programming and communication models, enabling developers to integrate any desired communication model as needed. Consequently, application developers can prioritize API development while effortlessly adapting their communication strategies during deployment. With this flexibility, the framework enhances productivity and streamlines the microservice application lifecycle.

Description

Discover the transformative capabilities of large language models as they redefine Natural Language Processing (NLP) through Spark NLP, an open-source library that empowers users with scalable LLMs. The complete codebase is accessible under the Apache 2.0 license, featuring pre-trained models and comprehensive pipelines. As the sole NLP library designed specifically for Apache Spark, it stands out as the most widely adopted solution in enterprise settings. Spark ML encompasses a variety of machine learning applications that leverage two primary components: estimators and transformers. Estimators possess a method that ensures data is secured and trained for specific applications, while transformers typically result from the fitting process, enabling modifications to the target dataset. These essential components are intricately integrated within Spark NLP, facilitating seamless functionality. Pipelines serve as a powerful mechanism that unites multiple estimators and transformers into a cohesive workflow, enabling a series of interconnected transformations throughout the machine-learning process. This integration not only enhances the efficiency of NLP tasks but also simplifies the overall development experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Java
ALBERT
APIFuzzer
Apache Spark
BERT
Conda
ELMO
Facebook
Flair
Go
Maven
Node.js
OpenAI
OpenAI Whisper
PHP
Python
R
RoBERTa
T5
XLNet

Integrations

Java
ALBERT
APIFuzzer
Apache Spark
BERT
Conda
ELMO
Facebook
Flair
Go
Maven
Node.js
OpenAI
OpenAI Whisper
PHP
Python
R
RoBERTa
T5
XLNet

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

ServiceComb

Country

United States

Website

servicecomb.apache.org

Vendor Details

Company Name

John Snow Labs

Country

United States

Website

sparknlp.org

Product Features

Product Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Alternatives

Alternatives

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