Open Source Mac Business Software - Page 37
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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.
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Using the vCard format as the data storage structure, Rolo will keep track of your contacts and display them to you with a curses front end.
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101-0250-00
ETH course - Solving PDEs in parallel on GPUs
This course aims to cover state-of-the-art methods in modern parallel Graphical Processing Unit (GPU) computing, supercomputing and code development with applications to natural sciences and engineering. -
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1JPM
Maven/Gradle alternative with a twist: its a single Java file
1JPM (1 Java Project Manager) is a Java-based, single-file build tool that generates Maven pom.xml files and wraps Maven execution with enhanced plugins. It offers a familiar Java code-driven configuration style, reducing verbose XML and providing better IDE integration and runtime safety features -
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AAChartKit
Modern declarative data visualization chart framework
AAChartKit is an elegant and friendly (user-friendly && enviroment-friendly) chart framework for iOS, based on the open source Highcharts JS libraries. AAChartKit is extremely powerful, easy to configure and a pleasure to use. Currently AAChartKit includes support for the following chart types: column chart, bar chart, area chart, area spline chart, line chart, spline chart, radar chart, polar chart, pie chart, bubble chart, pyramid chart, funnel chart, column range and area range chart. More chart types are planned to be supported. AAChartKit gives you easy and fast access to a wide range of chart types, hassle-free and quick to integrate into your own project. Unlike previous imperative programming techniques, drawing any custom chart in AAChartKit, you don't need to care about the inner implementation details which is annoying && boring. -
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APIOAK
Full Lifecycle Management API Gateway
APIOAK provides full life cycle management of API release, management, and operation and maintenance. Assist users in simple, fast, low-cost, low-risk implementation of microservice aggregation, front-end and back-end separation, system integration, and open functions and data to partners and developers. APIOAK performance is almost comparable to native Nginx, and provides dynamic authentication, flow control and other functions through the plug-in mechanism, and supports custom plug-ins according to specific business scenarios. It also provides a multiple of dynamic load balancing strategies and a powerful and easy-to-use console management panel. -
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AQUATONE
A tool for domain flyovers
Aquatone is a tool for visual inspection of websites across a large amount of hosts and is convenient for quickly gaining an overview of HTTP-based attack surface. Aquatone is designed to be as easy to use as possible and to integrate with your existing toolset with no or minimal glue. Aquatone is started by piping output of a command into the tool. It doesn't really care how the piped data looks as URLs, domains, and IP addresses will be extracted with regular expression pattern matching. This means that you can pretty much give it output of any tool you use for host discovery. Aquatone is now completely focused on screenshotting and reporting. I know a lot of people used Aquatone for its DNS enumeration capabilities and it was definitely very good at that when it was released. Now other tools are doing a much better job of this, so I decided to leave it out of the new Aquatone, and instead make it easy to use it with your tool of choice. -
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AWS Load Balancer Controller
A Kubernetes controller for Elastic Load Balancers
AWS Load Balancer Controller is a controller to help manage Elastic Load Balancers for a Kubernetes cluster. It satisfies Kubernetes Ingress resources by provisioning Application Load Balancers. It satisfies Kubernetes Service resources by provisioning Network Load Balancers. This project was formerly known as "AWS ALB Ingress Controller", we rebranded it to be "AWS Load Balancer Controller". AWS ALB Ingress Controller was originated by Ticketmaster and CoreOS as part of Ticketmaster's move to AWS and CoreOS Tectonic. Learn more about Ticketmaster's Kubernetes initiative from Justin Dean's video at Tectonic Summit. AWS ALB Ingress Controller was donated to Kubernetes SIG-AWS to allow AWS, CoreOS, Ticketmaster and other SIG-AWS contributors to officially maintain the project. The controller watches for ingress events from the API server. When it finds ingress resources that satisfy its requirements, it begins the creation of AWS resources. -
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Alfred Workflows
A collection of Alfred 3 and 4 workflows that will rock your world
With Alfred's Powerpack and workflows, you can extend Alfred and get things done in your own way. Replace repetitive tasks with workflows, and boost your productivity. Discover the abundance of workflows that integrate with your favourite Mac applications and web services, from social networks and note-taking apps to shopping and music services. We've hand-picked a few of the best workflows here. You'll find hundreds more on Packal, a brilliant user-created repository for workflows, as well as on Alfred Forum, where you'll also find help in creating your own workflows. There are many macOS applications for which you'll find Alfred workflow integrations, with many more available on the Alfred Forum and individual developers' pages. Alfred supports numerous websites and services, and more integrations like the ones above are created every day. Take a look on Packal as well as on the Alfred Forum for hundreds of integrations with popular sites and services. -
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Alluxio
Open Source Data Orchestration for the Cloud
Alluxio is the world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute. -
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Amazon Kinesis Flink Connectors
Contains various Apache Flink connectors to connect to AWS data
This library contains various Apache Flink connectors to connect to AWS data sources and sinks. This repository contains various Apache Flink connectors to connect to AWS Kinesis data sources and sinks. Flink maintain backwards compatibility for the Sink interface used by the Firehose Producer. This project is compatible with Flink 1.x, there is no guarantee it will support Flink 2.x should it release in the future. An Apache Flink application is a Java or Scala application that is created with the Apache Flink framework. You author and build your Apache Flink application locally. Applications primarily use either the DataStream API or the Table API. The other Apache Flink APIs are also available for you to use, but they are less commonly used in building streaming applications. The Apache Flink DataStream API programming model is based on two components. -
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Angular Material Dashboard
Angular admin dashboard with material design
Angular admin dashboard with material design. Responsive Angular admin dashboard with material design based on Angular Material. AngularJS, Angular UI Router, Angular Material, Sass styles, Gulp build, Stylish, clean, responsive layout with original design, and BrowserSync for the ease of development. Project structure based on gulp-angular yeoman generator. If you have any questions about the build or project structure please check out their documentation. Project structure based on gulp-angular yeoman generator. If you have any questions about the build or project structure please check out their documentation. -
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Ansible Config Management Database
Generate host overview from ansible fact gathering output
Ansible-cmdb takes the output of Ansible's fact gathering and converts it into a static HTML overview page (and other things) containing system configuration information. It supports multiple types of output (HTML, CSV, SQL, etc) and extends information gathered by Ansible with custom data. For each host, it also shows the groups, host variables, custom variables and machine-local facts. Some templates, such as txt_table and html_fancy, support columns. If a template supports columns, you can use the --columns / -c command-line option to specify which columns to show. The --columns take a comma-separated list of columns (no spaces!) which should be shown. The columns must be specified by their id field. For information on what id fields are supported by a template, take a look in the template. Usually, it's the column title, but in lowercase and with spaces replaced by underscores. -
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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Apache DevLake
Apache DevLake is an open-source dev data platform
Apache DevLake is an open-source dev data platform that ingests, analyzes, and visualizes the fragmented data from DevOps tools to extract insights for engineering excellence, developer experience, and community growth. Apache DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices. You can ask Apache DevLake many questions regarding your development process. Just connect and query. Your Dev Data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC). From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation. -
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Apache Doris
MPP-based interactive SQL data warehousing for reporting and analysis
Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. Make your data analysis easier! Support standard SQL language, compatible with MySQL protocol. The main advantages of Doris are the simplicity (of developing, deploying and using) and meeting many data serving requirements in a single system. Doris mainly integrates the technology of Google Mesa and Apache Impala, and it is based on a column-oriented storage engine and can communicate by MySQL client. -
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Apache SeaTunnel
SeaTunnel is a distributed, high-performance data integration platform
SeaTunnel is a very easy-to-use ultra-high-performance distributed data integration platform that supports real-time synchronization of massive data. It can synchronize tens of billions of data stably and efficiently every day, and has been used in the production of nearly 100 companies. There are hundreds of commonly-used data sources of which versions are incompatible. With the emergence of new technologies, more data sources are appearing. It is difficult for users to find a tool that can fully and quickly support these data sources. Data synchronization needs to support various synchronization scenarios such as offline-full synchronization, offline-incremental synchronization, CDC, real-time synchronization, and full database synchronization. Existing data integration and data synchronization tools often require vast computing resources or JDBC connection resources to complete real-time synchronization of massive small tables. -
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Apache Seata
High-performance, open source distributed transaction solution
Seata is a distributed transaction solution for microservices that provides consistent, cross-service commits without forcing every team to adopt the same persistence model. Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and XA—letting architects choose between simplicity, control, and interoperability. The AT mode is notable for minimizing code changes: Seata captures before/after images of SQL updates and can roll back on failure to maintain atomicity across services. Integrations cover common RPC frameworks and registries, enabling drop-in usage within Spring Cloud/Dubbo-style ecosystems. -
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AppFlowy Web
Bring projects, wikis, and teams together with AI
AppFlowy‑Web is the TypeScript/React‑based web frontend of AppFlowy, the open‑source, AI‑powered Notion alternative. Aims to deliver full parity with the desktop app, supporting self‑hosting, collaborative editing, and extensible workspace building. -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates. -
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BPB-Worker-Panel
A GUI Panel providing Worker subscriptions for VLESS
BPB-Worker-Panel is a web interface for monitoring and managing distributed workers and task queues. It provides real-time statistics on job statuses, worker performance, queue lengths, and logs. Designed for systems using task handlers like Celery, Sidekiq, or custom job runners, the panel helps administrators visualize worker load, inspect tasks, and manually retry or delete them as needed. -
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BasicBSpline.jl
Basic (mathematical) operations for B-spline functions
Basic (mathematical) operations for B-spline functions and related things with Julia. -
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Bayesian Statistics
This repository holds slides and code for a full Bayesian statistics
This repository holds slides and code for a full Bayesian statistics graduate course. Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from classical inferential statistics that prohibits probability statements about parameters and is based on asymptotically sampling infinite samples from a theoretical population and finding parameter values that maximize the likelihood function. Mostly notorious is null-hypothesis significance testing (NHST) based on p-values. -
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Buffet Box
Most Advance online restaurant menu, food delivery system
Most Advance online restaurant menus, food delivery systems, online restaurant menus, free online restaurant menu, free online restaurant menu apps, and online restaurant menu service providers. Most Advanced POS Billing & Invoicing Software that can perfectly fit your whole sale & Retail Business. -
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BullMQ
Message Queue and Batch processing for NodeJS and Python
BullMQ is a powerful, modern Node.js library for creating and managing robust job queues, built on top of Redis. It is designed for handling distributed jobs and messages in scalable applications. -
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Catalyst.jl
Chemical reaction network and systems biology interface
Catalyst.jl is a symbolic modeling package for analysis and high-performance simulation of chemical reaction networks. Catalyst defines symbolic ReactionSystems, which can be created programmatically or easily specified using Catalyst's domain-specific language (DSL). Leveraging ModelingToolkit and Symbolics.jl, Catalyst enables large-scale simulations through auto-vectorization and parallelism. Symbolic ReactionSystems can be used to generate ModelingToolkit-based models, allowing the easy simulation and parameter estimation of mass action ODE models, Chemical Langevin SDE models, stochastic chemical kinetics jump process models, and more. Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc).