Search Results for "data collection algorithm"
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Showing 314 open source projects for "data collection algorithm"
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Hello Algorithm
Animated illustrations, one-click data structure
Animated illustrations, one-click data structure and algorithm tutorials. This project aims to create an open source, free, novice-friendly introductory tutorial on data structures and algorithms. The whole book uses animated illustrations, the content is clear and easy to understand, and the learning curve is smooth, guiding beginners to explore the knowledge map of data structures and algorithms. -
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X's Recommendation Algorithm
Source code for the X Recommendation Algorithm
The Algorithm is Twitter’s open source release of the core ranking system that powers the platform’s home timeline. It provides transparency into how tweets are selected, prioritized, and surfaced to users, reflecting Twitter’s move toward openness in recommendation algorithms. The repository contains the recommendation pipeline, which incorporates signals such as engagement, relevance, and content features, and demonstrates how they combine to form ranked outputs. -
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Spring Data REST
Simplifies building hypermedia-driven REST web services
Spring Data REST is part of the umbrella Spring Data project and makes it easy to build hypermedia-driven REST web services on top of Spring Data repositories. Spring Data REST builds on top of Spring Data repositories, analyzes your application’s domain model and exposes hypermedia-driven HTTP resources for aggregates contained in the model. -
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Algorithms & data structures project
A collection of algorithms and data structures
Algorithms is an educational collection of data structures and algorithms implemented primarily in Java. Its goal is to demonstrate common techniques through clear and elegant reference implementations. The repository covers trees, heaps, hash tables, graphs, dynamic programming, geometry, searching, sorting, strings, and many other topics. Complexity information is documented for many algorithms to help users understand performance characteristics. -
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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across... -
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Data Crow
Your collection, your way
Data Crow makes it possible. Your collection is accessible the way you prefer: as a stand-alone desktop application, in server-client mode for shared access across multiple users or devices, via the web client in any browser, or on the go with the Data Crow Reader App. The app synchronises with your Data Crow installation and works fully offline. -
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ThingsBoard
Device management, data collection, processing and visualization
ThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols, MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data. Provision, monitor and control your IoT entities in a secure way using rich server-side APIs. -
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Zipkin
Distributed tracing system to gather timing data
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. ... -
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google-java-format
Reformats Java source code to comply with Google Java Style
google-java-format is a program that reformats Java source code to comply with Google Java Style. The formatter can act on whole files, on limited lines, on specific offsets, passing through to standard-out (default) or altered in-place. There is no configurability as to the formatter's algorithm for formatting. This is a deliberate design decision to unify our code formatting on a single format. The formatter can be used in software that generates java to output more legible java code. Just... -
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International Components for Unicode
The home of the ICU project source code
...ICU is released under a nonrestrictive open-source license that is suitable for use with both commercial software and with other open-source or free software. Convert text data to or from Unicode and nearly any other character set or encoding. ICU's conversion tables are based on charset data collected by IBM over the course of many decades and is the most complete available anywhere. Compare strings according to the conventions and standards of a particular language, region or country. ICU's collation is based on the Unicode Collation Algorithm plus locale-specific comparison rules from the Common Locale Data Repository, a comprehensive source for this type of data. -
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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
LeetCodeAnimation is an educational open source project by MisterBooo that visually demonstrates algorithm problems from LeetCode through animations. The goal of the project is to help learners understand complex algorithmic concepts intuitively by showing step-by-step animated explanations instead of relying solely on static code or text. Each animation corresponds to a specific problem and illustrates how data structures and algorithms operate dynamically, making it easier to grasp their underlying logic. ... -
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Algorithms
Solutions for some common algorithm problems written in Java
...It covers binary trees, linked lists, strings, bit operations, mathematics, sequences, arrays, sorting, and miscellaneous interview-style exercises. Many categories contain several related problems so learners can compare recurring techniques and data structures. Some problems include more than one implementation, allowing different approaches to be examined side by side. Every solution is accompanied by tests, and part of the repository was developed using test-driven development. Sorting examples include bubble, selection, insertion, merge, and quick sort. The project is intended for algorithm practice, implementation study, and experimentation rather than as a reusable production library. -
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Random Cut Forest by AWS
An implementation of the Random Cut Forest data structure
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features for greater flexibility of use. -
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OpenNMS
Enterprise-Grade Open-Source Network Management Platform
OpenNMS is an open-source network monitoring platform that helps you visualize and monitor everything on your local and distributed networks. OpenNMS offers comprehensive fault, performance, and traffic monitoring with alarm generation in one place. Highly customizable and scalable, OpenNMS integrates with your core business applications and workflows. -
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HugeGraph
A graph database that supports more than 100+ billion data
...HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports Gremlin graph query language and RESTful API but also provides commonly used graph algorithm APIs. To help users easily implement various queries and analyses, HugeGraph has a full range of accessory tools, such as supporting distributed storage, data replication, scaling horizontally, and supports many built-in backends of storage engines. -
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KCloud‑Platform‑IoT
KCloud-Platform-IoT
KCloud-Platform-IoT is a comprehensive open-source IoT management platform built with Spring Cloud and Vue.js. It supports device registration, data collection, rule-based processing, and dashboard visualization. Designed for scalability and modularity, the platform is ideal for managing large IoT fleets in industrial or smart city environments. -
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AWS Encryption SDK for Java
AWS Encryption SDK
The AWS Encryption SDK is a client-side encryption library designed to make it easy for everyone to encrypt and decrypt data using industry standards and best practices. It enables you to focus on the core functionality of your application, rather than on how to best encrypt and decrypt your data. The AWS Encryption SDK is provided free of charge under the Apache 2.0 license. With the AWS Encryption SDK, you define a master key provider (Java and Python) or a keyring (C, C#/.NET, and... -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
...Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. -
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JavaCore
JavaCore is a summary of experience with Java core technologies
...Its concurrency coverage includes threads, locks, atomics, thread pools, concurrent containers, synchronization, and the Java Memory Model. JVM chapters address memory, garbage collection, bytecode, class loading, diagnostics, monitoring, and performance tuning. -
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From Java To Kotlin
Your Cheat Sheet For Java To Kotlin
From Java to Kotlin is a practical guide for Android developers transitioning existing codebases and habits from Java to idiomatic Kotlin. Rather than simply showing syntax translations, it emphasizes Kotlin’s expressive features—null safety, extensions, data classes, sealed hierarchies, and higher-order functions—and how to apply them sensibly. Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes best practices for coroutine usage, collection operations, and scoping functions that make asynchronous and functional patterns feel natural. ... -
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OpenSearch
Open source distributed and RESTful search engine
...It offers excellent performance and can scale up and down as the needs of the application grow or shrink. Its distributed design means that you interact with OpenSearch clusters. Each cluster is a collection of one or more nodes, servers that store your data and process search requests. You can run OpenSearch locally on a laptop, its system requirements are minimal, but you can also scale a single cluster to hundreds of powerful machines in a data center. -
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LeetCode Book
Comprehensive study guide for coding interviews
LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. -
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Alovoa
Free and open-source dating platform that respects your privacy
This platform does not require you to pay any kind of fee, you can use all functions without limitations. We rely solely on your generous donations to keep this platform running. We believe in transparency, not obfuscation. Each line of code and each library used is free and open source, allowing everyone to see and improve on the platform if they so choose. We do not sell your information to third parties, we will always keep this promise. Furthermore, sensitive data is encrypted and secure... -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM... -
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QuestDB
An open source SQL database designed to process time series data
...It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection. ...
