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  5. FF4J vs JDSP

FF4J vs JDSP

OverviewComparisonAlternatives

Overview

JDSP
JDSP
Stacks1
Followers2
Votes0
GitHub Stars288
Forks44
FF4J
FF4J
Stacks7
Followers16
Votes0
GitHub Stars1.4K
Forks286

JDSP vs FF4J: What are the differences?

JDSP: A Java Library for Digital Signal Processing. It is a library of digital signal processing tools written in Java aimed at providing functionalities as available in scipy-signal package for Python. The goal is to provide easy-to-use APIs for performing complex operation on signals eliminating the necessity of understanding the low-level complexities in the processing pipeline; FF4J: Feature Flags for Java made easy. It is an implementation of Feature Toggle pattern : Enable and disable features or your applications at runtime thanks to dedicated web console, REST API, JMX or even CLI. It handle also properties and provide generic interfaces.

JDSP can be classified as a tool in the "Java Tools" category, while FF4J is grouped under "Feature Flags Management".

Some of the features offered by JDSP are:

  • Frequency-based Filters
  • Kernel-based Filters
  • Fourier Transform

On the other hand, FF4J provides the following key features:

  • Feature Toggle
  • Role-based Toggling
  • Strategy-based Toggling

JDSP is an open source tool with 5 GitHub stars and 1 GitHub forks. Here's a link to JDSP's open source repository on GitHub.

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Detailed Comparison

JDSP
JDSP
FF4J
FF4J

JDSP is a library of digital signal processing tools written in Java aimed at providing functionalities as available in scipy-signal package for Python.

It is an implementation of Feature Toggle pattern : Enable and disable features or your applications at runtime thanks to dedicated web console, REST API, JMX or even CLI. It handle also properties and provide generic interfaces.

Frequency-based Filters; Kernel-based Filters; Fourier Transform; Hilbert Transform; PCA; Pre-Processing Tools; Peak and Spike Detection; Signal Generation; Matlab-style Plotting; Java equivalent of many Numpy helper functions
Feature Toggle; Role-based Toggling; Strategy-based Toggling; AOP-driven Toggling; Features Monitoring; Web Console; Wide choice of Databases; Spring Boot Starter; Command Line Interface
Statistics
GitHub Stars
288
GitHub Stars
1.4K
GitHub Forks
44
GitHub Forks
286
Stacks
1
Stacks
7
Followers
2
Followers
16
Votes
0
Votes
0
Integrations
Java
Java
PostgreSQL
PostgreSQL
Elasticsearch
Elasticsearch
MongoDB
MongoDB
Cassandra
Cassandra
MariaDB
MariaDB
Spring Boot
Spring Boot
Java
Java
Redis
Redis
Amazon DynamoDB
Amazon DynamoDB
Consul
Consul

What are some alternatives to JDSP, FF4J?

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

ConfigCat

ConfigCat

Cross-platform feature flag service for Teams. It is a hosted or on-premise service with a web app for feature management, and SDKs for all major programming languages and technologies.

Unleash Hosted

Unleash Hosted

It is a simple feature management system. It gives you great overview of all feature toggles across all your applications. You decide who is exposed to which feature.

guava

guava

The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.

LaunchDarkly

LaunchDarkly

Serving over 200 billion feature flags daily to help software teams build better software, faster. LaunchDarkly helps eliminate risk for developers and operations teams from the software development cycle.

Airship

Airship

Airship is a modern product flagging framework that gives the right people total control over what your customers see & experience - without deploying code.

Thymeleaf

Thymeleaf

It is a modern server-side Java template engine for both web and standalone environments. It is aimed at creating elegant web code while adding powerful features and retaining prototyping abilities.

JSF

JSF

It is used for building component-based user interfaces for web applications and was formalized as a standard through the Java Community

Flagr

Flagr

Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions.

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