Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache APISIX boasts a comprehensive suite of traffic management capabilities, including Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, and Observability. This open-source API Gateway is designed to effectively manage microservices, ensuring optimal performance, enhanced security, and a scalable infrastructure for all your APIs and microservices. Notably, Apache APISIX is the pioneering open-source API Gateway equipped with an integrated low-code Dashboard, offering a robust and adaptable user interface tailored for developers. The Dashboard simplifies the operation of Apache APISIX through an intuitive frontend, making it accessible for users. As an open-source project, it is continually evolving, and contributions are always welcome. Furthermore, the Apache APISIX Dashboard is highly responsive to user needs, allowing the creation of custom modules to meet specific requirements while still providing a comprehensive no-code toolchain. This adaptability ensures that users can enhance their experience while working with the platform.
Description
DL4J leverages state-of-the-art distributed computing frameworks like Apache Spark and Hadoop to enhance the speed of training processes. When utilized with multiple GPUs, its performance matches that of Caffe. Fully open-source under the Apache 2.0 license, the libraries are actively maintained by both the developer community and the Konduit team. Deeplearning4j, which is developed in Java, is compatible with any language that runs on the JVM, including Scala, Clojure, and Kotlin. The core computations are executed using C, C++, and CUDA, while Keras is designated as the Python API. Eclipse Deeplearning4j stands out as the pioneering commercial-grade, open-source, distributed deep-learning library tailored for Java and Scala applications. By integrating with Hadoop and Apache Spark, DL4J effectively introduces artificial intelligence capabilities to business settings, enabling operations on distributed CPUs and GPUs. Training a deep-learning network involves tuning numerous parameters, and we have made efforts to clarify these settings, allowing Deeplearning4j to function as a versatile DIY resource for developers using Java, Scala, Clojure, and Kotlin. With its robust framework, DL4J not only simplifies the deep learning process but also fosters innovation in machine learning across various industries.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Apache Spark
No
Casbin
Yes
Go
Yes
Hadoop
No
Helm
Yes
Java
Yes
Python
Yes
Second State
Yes
Integrations
Apache Spark
Yes
Casbin
No
Go
No
Hadoop
Yes
Helm
No
Java
No
Python
No
Second State
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache APISIX
Website
apisix.apache.org
Vendor Details
Company Name
Deeplearning4j
Founded
2019
Country
Japan
Website
deeplearning4j.org
Product Features
API Management
API Design
No
API Lifecycle Management
No
Access Control
No
Analytics
No
Dashboard
No
Developer Portal
No
Testing Management
No
Threat Protection
No
Traffic Control
No
Version Control
No
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No