Search Results for "processing" - Page 2
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Showing 115 open source projects for "processing"
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Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It... -
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IndraDB
A graph database written in rust
...In particular, IndraDB emphasizes simplicity of implementation and query semantics, and is similarly designed with the assumption that it may be representing a graph large enough that full graph processing is not possible. IndraDB departs from TAO (and most graph databases) in its support for properties. IndraDB offers a variety ways to work with it: as a server with cross-language support, as a rust library, and via CLI. What follows are a few examples of each use case. -
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AlaSQL
JavaScript SQL database for browser and Node.js for relational tables
AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel. We focus on speed by taking advantage of the dynamic nature of JavaScript when building up queries. Real-world solutions demand flexibility regarding where data comes from and where it is to be stored. We focus on flexibility by making sure you can import/export and query directly on data... -
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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
StarRocks is the next generation of real-time SQL engines for enterprise analytics. Real-time analytics is notoriously difficult. Complex data pipelines and de-normalized tables have always been a necessary evil. Processing any updates or deletes once data arrives has not been possible- until now. StarRocks solves these challenges and makes real-time analytics easy. Get amazing query performance on Star or Snowflake Schemas directly. From canceled orders to updated items, your analytics applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. ... -
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
...Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. Train models on your data in your datastore simply by querying without additional ingestion and pre-processing. -
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CDC Connectors for Apache Flink
CDC Connectors for Apache Flink
...CDC Connectors for Apache Flink® integrates Debezium as the engine to capture data changes. So it can fully leverage the ability of Debezium. Supports reading database snapshot and continues to read transaction logs with exactly-once processing even failures happen. CDC connectors for DataStream API, users can consume changes on multiple databases and tables in a single job without Debezium and Kafka deployed. CDC connectors for Table/SQL API, users can use SQL DDL to create a CDC source to monitor changes on a single table. CDC Connectors for Apache Flink® supports ingesting snapshot data and real time changes from databases to Flink®. -
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ArangoDB-Community/pyArango
Python Driver for ArangoDB with built-in validation
PyArango is a Python driver for ArangoDB, a multi-model NoSQL database. It provides a Pythonic way to interact with ArangoDB, allowing developers to manage collections, execute AQL queries, and integrate ArangoDB's document, graph, and key-value storage models into Python applications. -
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xsd2pgschema
Relational database replication tool based on XML Schema
xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. Obtained PostgreSQL... -
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CursusDB
CursusDB is an open-source distributed in-memory database
CursusDB is a time-series database built for high-performance analytics and data processing, optimized for handling large volumes of sequential data efficiently. -
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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ZeroMQ
ZeroMQ core engine in C++, implements ZMTP/3.1
...You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. For configuration either autotools or CMake is employed. For Linux users, pre-built binary packages are available for most distributions. Note that DRAFT APIs can change at any time without warning, pick a STABLE build to avoid having them enabled. -
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RedisGraph
A graph database as a Redis module
A high-performance graph database module for Redis that enables fast graph processing and analytics using a query engine based on Cypher. -
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GETL
ETL engine based on Groovy
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with... -
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Cetus
Cetus is a high performance middleware that provides routing
...Multi-process lock-free improves operating efficiency. Supports transparent backend connection pooling. Support SQL read-write separation. Support data sub-database. Support distributed transaction processing. Support insert batch operations. Support for conditional distinct operations. Enhanced SQL route parsing and injection. -
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FeatureBase
A crazy fast analytical database, built on bitmaps
FeatureBase is an Open Source, in-memory, MLAP engine providing SQL support, real-time updates, and analytical processing for your growing data. A binary tree index improves the performance & efficiency of analytical queries by reducing I/O operation. Simple or complex, FeatureBase knocks it out in milliseconds. On-the-fly updates and deletes. Operate instantly on your freshest data without the need for preaggregation. Built on bitmaps, FeatureBase offers up to 5-10X reduction in storage footprint and 90% reduction in hardware footprint. ... -
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Sqlite Index Blaster
Create huge Sqlite indexes at breakneck speeds
SQLite Blaster is an advanced SQLite extension that enhances database performance by enabling multi-threading, data compression, and memory optimizations. It is designed for applications that require fast local storage with improved query efficiency. -
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SnappyData
Memory optimized analytics database, based on Apache Spark
...SnappyData delivers high throughput, low latency, and high concurrency for a unified analytics workload. By fusing an in-memory hybrid database inside Apache Spark, it provides analytic query processing, mutability/transactions, access to virtually all big data sources and stream processing all in one unified cluster. One common use case for SnappyData is to provide analytics at interactive speeds over large volumes of data with minimal or no pre-processing of the dataset. For instance, there is no need to often pre-aggregate/reduce or generate cubes over your large data sets for ad-hoc visual analytics. ... -
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eXist-db
eXist-db is a feature rich Open Source native XML database
eXist-db is a native XML database featuring efficient, index-based XQuery processing, extensions for keyword search, XUpdate support, XSLT support, XForms support, REST and tight integration with existing XML development tools. Moved to Github - https://www.github.com/exist-db/exist -
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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... -
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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.
