Search Results for "apache" - Page 16
Sort By:
Showing 869 open source projects for "apache"
View related business solutions-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Rust lexical
Fast numeric to- and from-string conversion routines
rust-lexical is a high-performance Rust library for numeric-to-string and string-to-numeric conversions. Designed for efficiency and flexibility, it operates in no_std environments, making it suitable for embedded systems and performance-critical applications. The library supports various numeric formats and provides customizable parsing and formatting options. -
2
Kamon Telemetry
Distributed Tracing, Metrics and Context Propagation for applications
Kamon Telemetry is a set of libraries for instrumenting applications running on the JVM. With Kamon Telemetry you can collect metrics, propagate context across threads and services, and get distributed traces automatically. The best way to get started is by following our installation guides and taking it from there. Have fun with Kamon. Monitor your backend applications, fix performance issues, and get alerted when problems happen. All without being a monitoring expert. Everybody starts... -
3
VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
...The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. Additional support libraries and examples are provided in separate repositories, links to these are provided below. The software currently builds under Linux (desktops variants through to Jetson & Raspberry Pi), Windows (VisualStudio, MinGW & Cygwin), Android, and macOS & iOS (using MoltenVk). -
4
Vavr
Object-functional library that runs with Java 8+
...The documentation gives an overview and covers the concepts in depth. It is the best way to get started with Vavr. Vavr is open source and can be found on Github. It is distributed under the Apache 2.0 License. There are several additional modules that group around Vavr's core. All of these are supported by the Vavr open-source organization. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
5
Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. ... -
6
mall-admin-web
frontend component of the “mall” e-commerce system
mall-admin-web is the frontend component of the “mall” e-commerce system, implemented in Vue (plus Element UI) to deliver the backend management interface: product management, order management, member management, promotions, operations, content, statistics and settings. It demonstrates how a modern single-page application can be structured to integrate with the backend services described in the learning / microservice projects, including authentication (JWT or token), REST APIs,... -
7
opencore-amr
Audio codecs extracted from Android Open Source Project
Library of OpenCORE Framework implementation of Adaptive Multi Rate Narrowband and Wideband (AMR-NB and AMR-WB) speech codec. Library of VisualOn implementation of Adaptive Multi Rate Wideband (AMR-WB) encoder and Advanced Audio Coding (AAC) encoder. Modified library of Fraunhofer AAC decoder and encoder. -
8
HighwayHash
Fast strong hash functions: SipHash/HighwayHash
HighwayHash is a fast, keyed hash function intended for scenarios where you need strong, DoS-resistant hashing without the full overhead of a general-purpose cryptographic hash. It’s designed to defeat hash-flooding attacks by mixing input with wide SIMD operations and a branch-free inner loop, so adversaries can’t cheaply craft many colliding keys. The implementation targets multiple CPU families with vectorized code paths while keeping a portable fallback, yielding high throughput across... -
9
KOOM
KOOM is an OOM killer on mobile platform by Kwai
KOOM creates a mobile high-performance online memory monitoring solution， which supplies a detailed report when OOM-related problems are detected and has solved a large number of OOM issues in the Kwai application. It's currently available on Android. With the increasing complexity of mobile terminal business logic and the gradual popularity of scenarios with high memory requirements such as 4K codec and AR magic watch, the OOM problem has become the number one problem in the stability... -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
10
Faast.js
Serverless batch computing made simple
Serverless batch computing made simple. Serverless function architectures are optimized for event-driven systems. Faast.js simplifies serverless batch applications by automating infrastructure, code packaging, invocation, and cleanup. Combine the power of scalable serverless functions with the ease-of-use and familiarity of ordinary async functions. Go from zero to a thousand cores in seconds. Scale back down to zero just as quickly. Faast.js delivers the brute force power of the cloud with... -
11
A pure Java library for reading from and writing to MS Access databases.
-
12
-
13
UnboundID LDAP SDK for Java
A Java-based LDAP API
A fast, comprehensive, and easy-to-use Java API for communicating with LDAP directory servers and performing related tasks like reading and writing LDIF, encoding and decoding data using base64 and ASN.1 BER, and performing secure communication. -
14
JVx JavaFX
JVx UI implementation with JavaFX
A full implementation of JVx UI with JavaFX. Use a standard JVx application and run it as native JavaFX application. -
15
JVx Storages
Storage implementations for JVx
This project provides different IStorage implementations for JVx. There are standard storages for database access or in memory data, already available in JVx. This project adds storages for e.g. MS Exchange Server, Twitter, ... -
16
eBus
Publish/Subscribe, Request/Reply Messaging API for Java.
A Java middleware API supporting broker-less, type+topic-based publish/subscribe and request/reply messaging for both intra- and inter-application, object-level communication. Broker-less: messages are transmitted directly between eBus applications. There is no message broker (i.e. server) in between. Type+topic addressing: eBus clients subscribe to a message class (type) and message topic, providing stronger typing than just topic-based subscriptions. Object-level communication:... -
17
OpenHMS brands a collection of projects and many subprojects developed by Health Market Science. This is a robust collection of development libraries, APIs, and tools oriented around data manipulation and professional software development.
-
18
JVx EE
Simply create backend software for existing Java EE applications
Create professional backend software with JVx and use your domain model which is already available in your Java EE based web application. With JVx EE you can use the configured EntityManager and JPA implementation of your web application. Reuse your existing DAOs or EAOs without changes in your application. -
19
mall-swarm
Microservices edition of the mall e-commerce system
mall-swarm is the microservices edition of the mall e-commerce system, designed to illustrate how an enterprise-scale e-commerce backend can be built using Spring Cloud Alibaba, Spring Boot 3.x, Sa-Token (authentication), MyBatis, Elasticsearch, Docker and Kubernetes. It includes modules for gateway, auth, search, portal, admin, monitoring, config, registry, and more, and integrates a Vue-based management frontend. The repository is structured to show how cross-service concerns like service... -
20
Google Fonts
Font files available from Google Fonts, and a public issue tracker
This is the central GitHub repository for Google Fonts, containing font binaries, metadata, and tools for uploading new typeface families. It serves as the staging area for fonts and follows stringent licensing structures. The top-level directories indicate the license of all files found within them. Subdirectories are named according to the family name of the fonts within. The /catalog subdirectory contains additional metadata, such as profile texts and portrait/avatar images of font... -
21
LakshmiDROP
Fixed Income Analytics, Portfolio Construction, Asset Backed Cost
DROP implements the model libraries and provides systems for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning. DROP is composed of four main libraries: [Asset Allocation] (https://lakshmidrip.github.io/DROP/AssetAllocationModule.html) [Fixed Income Analytics] (https://lakshmidrip.github.io/DROP/FixedIncomeModule.html) [Numerical Optimization]... -
22
KPermissions
A Kotlin library which helps to request runtime permissions in Android
An Android library is totally written in Kotlin that helps to request runtime permissions. This library is compatible also with Android M (API 23) where runtime permissions don't exist, so you have to handle them separately. To discover all the APIs of this library, check the wiki. It contains some useful notes and advanced features not explained in the README. For further samples, check the sample provided by this library. It shows how to integrate this library and request permissions from... -
23
D.P.F Delphi iOS Native Components
Delphi iOS Native Components
Develop Native iOS applications with Delphi XE8~XE10 Develop iPhone & iPad & iPod Touch apps with fast native performance and native styles. Some Wrapped Frameworks: * AddressBookUI.framework * AddressBook.framework * iAd.framework * EventKit.framework * GameKit.framework * MapKit.framework * MessageUI.framework * MobileCoreServices.framework * QuickLook.framework * SystemConfiguration.framework * Social.framework * StoreKit.framework * WebKit.framework Follow... -
24
SageMaker Spark
A Spark library for Amazon SageMaker
SageMaker Spark is an open-source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting... -
25
Spring Cloud Sleuth
Distributed tracing for spring cloud
Spring Cloud Sleuth provides Spring Boot auto-configuration for distributed tracing. Sleuth configures everything you need to get started. This includes where trace data (spans) are reported to, how many traces to keep (sampling), if remote fields (baggage) are sent, and which libraries are traced. Add Spring Cloud Sleuth to the classpath of a Spring Boot application (together with a Tracer implementation) and you will see trace IDs in logs.
