Search Results for "processing" - Page 3
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Showing 165 open source projects for "processing"
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Datatables.AspNet
Microsoft AspNet bindings and automatic parsing for jQuery DataTables
Formerly known as DataTables.Mvc, this project started with small objectives around 2014, aiming to provide intermediate and experienced developers a tool to avoid the boring process of handling DataTables parameters. More than a year later after a full rewrite, we are now proud to support Asp.net MVC, WebApi, and Asp.Net Core (full .NET Core support). Unit-testing is a priority to avoid breaking your app and every stable release should provide better and wider test cases. Datatables.AspNet... -
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Demo Scene
Scripts and samples to support Confluent Demos, Talks, and Blogs
Demo Scene is a collection of resources and examples provided by Confluent Inc. to demonstrate the capabilities of Apache Kafka and its ecosystem. It includes various demos showcasing real-time data streaming, processing, and integration patterns -
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Heroic
The Heroic Time Series Database
Heroic is a scalable time-series database developed by Spotify, designed for real-time analytics and monitoring of large-scale systems. -
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localResizeIMG
The front-end local client compresses pictures, compatible with IOS
The front-end local client compresses pictures, is compatible with IOS, Android, PC, and automatically loads files on demand. Compressing the pictures to be uploaded on the client side can save bandwidth and send them to the backend faster, especially suitable for use on mobile devices. I have stepped on many pitfalls, after several version iterations, as well as the feedback and help of many netizens, and model testing. The picture is distorted, some devices do not automatically rotate the... -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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ksqlDB
The database purpose-built for stream processing applications
...Three categories are foundational to building an application: collections, stream processing, and queries. Streams are immutable, append-only sequences of events. They're useful for representing a series of historical facts. Tables are mutable collections of events. They let you represent the latest version of each value per key. -
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PipelineDB
High-performance time-series aggregation for PostgreSQL
PipelineDB is a PostgreSQL extension for continuous aggregation and stream processing. It allows users to define continuous queries that automatically process incoming data streams, storing results in materialized views. Designed for real-time analytics, PipelineDB extends PostgreSQL with stream-oriented features while maintaining compatibility with standard SQL and tooling. -
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react-imgpro
Image Processing Component for React
react-imgpro is an image-processing component for React. This component process an image with filters supplied as props and returns a base64 image. I was working on a project last month which involved a lot of image processing and I'd to rely on third party libraries. But before using them directly, I'd to learn different concepts in gl (shaders) and then try to implement them in React. -
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Cosmos DB Spark
Apache Spark Connector for Azure Cosmos DB
...The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data. -
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DataSink
Take a JDBC ResultSet and stream it in one of the supported formats
DataSink takes a JDBC ResultSet and streams it in in a format of your choice. You can as well zip the stream and send it over the network, if you want. DataSink currently implements the following table formats: DBF (the xBase file format), XHTML, and genericode. You can use it as an Ant task or directly from Java. -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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DBFLOW
A blazing fast, powerful, and very simple ORM database
DBFlow is fast, efficient, and feature-rich Kotlin database library built on SQLite for Android. DBFlow utilizes annotation processing to generate SQLite boilerplate for you and provides a powerful SQLite query language that makes using SQLite a joy. DBFlow is built from a collection of some of the best features of many database libraries. Don't let an ORM or library get in your way, let the code you write in your applications be the best as possible. Built using the language, the library is super-concise, null-safe and efficient. ... -
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Mondrian is an OLAP (online analytical processing) engine written in Java. It reads from JDBC data sources, aggregates data in a memory cache, and implements the MDX language and the olap4j and XML/A APIs.
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AvanceDB
An in-memory database based on the CouchDB REST API
AvanceDB is a high-performance, in-memory database designed to accelerate SQL-based applications. It uses advanced caching techniques to reduce database latency and improve query execution speed, making it ideal for real-time analytics and transactional workloads. -
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SQLMate
Rapidly generate a DAO for SQLite
Complete source code, usage example, & a code-generated test case are included in the .jar file. ( See main.java for the usage / code generation example ) -
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totaljs/eshop
Eshop + Content Management System (CMS) written in Node.js / Total.js
...It provides a lightweight, modular, and customizable solution for building online stores. Designed for developers who need a flexible eCommerce backend, it offers essential shopping functionalities such as product management, order processing, and payment integrations. -
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DRX
Documentum administration tool
...DRX provides a simple UI to facilitate logging into the Documentum repository, configuring and running specific reporting modules, and viewing the resulting reports. DRX reports are generated in HTML for easy viewing and XML for more complex processing. DRX is distributed as an EXE file that contains all of the Java code, requisite libraries, JVM and the DFC required to run the program. Its compact distribution and simple installation (just unzip it!) make it easy to run from a memory stick or move from one computer to another. See a missing module? Want enhancements to an existing one? ... -
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geog-server-embedded
GeoG Embedded Server
GeoG Embedded Server with GeoG's Own Database. -
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Apache PredictionIO
Machine learning server for developers and ML engineers
...Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management. -
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MARC/Perl
Perl libraries for processing MARC records
MARC/Perl (formerly known as MARC.pm) is a project to develop Perl libraries to process MARC (MAchine Readable Cataloging) data. -
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Scalaris
Distributed, transactional key-value store
...It was the first NoSQL database, that supported the ACID properties for multi-key transactions. It can be used for building scalable Web 2.0 services. Scalaris uses a structured overlay with a non-blocking Paxos commit protocol for transaction processing with strong consistency over replicas. Scalaris is implemented in Erlang. -
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FTNDB
Fidonet/FTN SQL Database processing application
Application which can be used for Fidonet/FTN related processing in an SQL database supported by a Perl DBD module, defaulting to SQLite, and which includes FTN Nodelist processing. -
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CliqueSquare
Distributed RDF Processing over Hadoop
CliqueSquare is a system for storing and querying large RDF graphs relying on Hadoop’s distributed file system (HDFS) and Hadoop’s MapReduce open-source implementation. It provides a novel partitioning and storage scheme that permits 1-level joins to be evaluated locally using efficient map-only joins. In addition, CliqueSquare is equipped with a unique optimization algorithm based on graphs and cliques capable of generating highly parallelizable flat query plans relying on n-ary equality joins. -
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LightProfiler
Profiler for Oracle extended SQL trace files
...It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor parameters, blocking locks, events and etc.) -
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XMLPipeDB is a suite of tools for building relational databases from XML sources with minimal manual processing of the data. While the applicability is general, our motivation was to facilitate the management of biological data from different sources.
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DBvolution
Java library to remove Object/Relation Impedance
...Simple declaration of a DB table: @DBTableName("mytable") public class MyTable extends DBRow { @DBColumn("numeric_code") @DBForeignKey(Code.class) private DBNumber numericCode = new DBNumber(); @DBColumn("uid_mytable") @DBPrimaryKey @DBAutoIncrement private DBNumber uidMyTable = new DBNumber(); } Easy Gets: List<MyTable> myRows = myDB.get(new MyTable()); MyTable row = myDB.getDBTable(new MyTable()).getByPrimaryKey(61176904); Natural and Outer Joins and Criteria: CarCo carCo = new CarCo(); carCo.name.isLiterally("GM"); List<DBQueryRow> results = myDB.get(carCo, new Marque()); dbQuery.addOptional(new CarModel()); Easy debugging: query.getSQLForQuery(); Simple processing: db.print(query.getAllRows()); List<Marque> marques = query.getAll
