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Copy file name to clipboardexpand all lines: docs/awesome/awesome-agi-cocosci.md
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* [Rationalization is rational](https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/rationalization-is-rational/2A13B99ED09BD802C0924D3681FEC55B) - ***Behavioral and Brain Sciences***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=5165464589274056844)]. [[Preprint](https://bpb-us-e1.wpmucdn.com/websites.harvard.edu/dist/0/59/files/2022/03/rationalization_is_rational.pdf)]. Rationalization occurs when a person has performed an action and then concocts the beliefs and desires that would have made it rational. Then, people often adjust their own beliefs and desires to match the concocted ones. While many studies demonstrate rationalization, and a few theories describe its underlying cognitive mechanisms, we have little understanding of its function. Why is the mind designed to construct post hoc rationalizations of its behavior, and then to adopt them? This may accomplish an important task: transferring information between the different kinds of processes and representations that influence our behavior. Human decision making does not rely on a single process; it is influenced by reason, habit, instinct, norms, and so on. Several of these influences are not organized according to rational choice (i.e., computing and maximizing expected value). Rationalization extracts implicit information – true beliefs and useful desires – from the influence of these non-rational systems on behavior.
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*[Rationalizing constraints on the capacity for cognitive control](https://www.sciencedirect.com/science/article/pii/S1364661321001480) - ***Trends in Cognitive Sciences***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=13065113821339619145&hl=en&as_sdt=2005&sciodt=0,5)].
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* [Rationalizing constraints on the capacity for cognitive control](https://www.sciencedirect.com/science/article/pii/S1364661321001480) - ***Trends in Cognitive Sciences***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=13060297961922073063)]. Humans are remarkably limited in: (i) how many control-dependent tasks they can execute simultaneously, and (ii) how intensely they can focus on a single task. These limitations are universal assumptions of most theories of cognition. Yet, a rationale for why humans are subject to these constraints remains elusive. This feature review draws on recent insights from psychology, neuroscience, and machine learning, to suggest that constraints on cognitive control may result from a rational adaptation to fundamental, computational dilemmas in neural architectures. The reviewed literature implies that limitations in multitasking may result from a trade-off between learning efficacy and processing efficiency and that limitations in the intensity of commitment to a single task may reflect a trade-off between cognitive stability and flexibility.
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*[Why Imaginary Worlds? The psychological foundations and cultural evolution of fictions with imaginary worlds](https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/why-imaginary-worlds/CA2AB4B1E1EDD8FE965E6DDB4A047B35) - ***Behavioral and Brain Sciences***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=16985691366494688837)]. A review of rationalization as imaginary worlds in fictions. The perspective proposes that imaginary worlds co-opt our preferences for exploration, which have evolved in humans and nonhuman animals alike, to propel individuals toward new environments and new sources of reward.
Copy file name to clipboardexpand all lines: docs/awesome/awesome-integration.md
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-[Apigee](https://cloud.google.com/apigee) - A leading API management solution from Google that provides comprehensive API management capabilities and helps you create, secure, and scale APIs with ease.
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-[Azure API Management](https://azure.microsoft.com/en-us/services/api-management/) - A hybrid, multicloud management platform for APIs across all environments, which enables you to manage APIs with ease, secure them, and gain insights into their performance.
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-[DigitMarket API Manager](https://www.torryharris.com/products/digitmarket-api-manager-for-api-management) - A complete package from Torry Harris that helps you manage your APIs and turn them into tools that can drive your business forward.
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-[Gravitee.io API Management (⭐189)](https://github.com/gravitee-io/gravitee-api-management) - A flexible, lightweight, and open-source API management solution that provides comprehensive API management capabilities and helps you manage your APIs with ease.
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-[Gravitee.io API Management (⭐190)](https://github.com/gravitee-io/gravitee-api-management) - A flexible, lightweight, and open-source API management solution that provides comprehensive API management capabilities and helps you manage your APIs with ease.
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-[IBM API Connect](https://www.ibm.com/cloud/api-connect) - A complete, intuitive, and scalable API platform that allows you to create, expose, manage, and monetize APIs across clouds.
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-[Kong Enterprise](https://konghq.com/products/kong-enterprise) - A comprehensive service connectivity platform that provides a range of API management capabilities and allows you to manage APIs, microservices, and service meshes with ease.
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-[Layer7 API Management](https://www.broadcom.com/products/software/api-management) - A continuous API management solution from Broadcom that provides comprehensive API management capabilities and helps you manage APIs throughout their lifecycle.
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-[Offset Explorer](https://www.kafkatool.com) - GUI application for managing and using Apache Kafka clusters, formerly known as Kafka Tool.
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-[Service Bus Explorer (⭐2k)](https://github.com/paolosalvatori/ServiceBusExplorer) - GUI app for Azure Service Bus, offering advanced features like import/export functionality and the ability to test topic, queues, subscriptions, relay services, notification hubs, and events hubs.
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- Mocking tools
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-[Imposter (⭐366)](https://github.com/outofcoffee/imposter) - Mock server for REST APIs, OpenAPI (and Swagger) specifications, SOAP web services (and WSDL files), Salesforce and HBase APIs.
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-[Imposter (⭐367)](https://github.com/outofcoffee/imposter) - Mock server for REST APIs, OpenAPI (and Swagger) specifications, SOAP web services (and WSDL files), Salesforce and HBase APIs.
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-[Microcks (⭐1.4k)](https://github.com/microcks/microcks) - Open-source Kubernetes-native tool for API mocking and testing, supporting AsyncAPI, OpenAPI, Postman Collections, etc.
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-[Mockable](https://www.mockable.io/) - Simple configurable service to mock out RESTful API or SOAP web-services.
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-[Mockbin (⭐89)](https://github.com/zuplo/mockbin) - Easily generate custom endpoints to test HTTP requests, and view the request logs from that API for free.
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-[Software AG webMethods Integration Server](https://www.softwareag.com/en_corporate/platform/integration-apis/webmethods-integration.html) - An integration platform that enables faster integration of any application.
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-[TIBCO BusinessWorks](https://www.tibco.com/products/tibco-businessworks) - A platform that implements enterprise patterns for hybrid integrations.
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-[UltraESB](https://www.adroitlogic.com/products/ultraesb/) - An ESB that supports zero-copy proxying for extreme performance utilizing Direct Memory Access and Non-Blocking IO.
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-[WSO2 Enterprise Integrator (⭐375)](https://github.com/wso2/product-ei) - An API-centric, cloud-native, and distributed integration platform designed to provide a robust solution for software engineers.
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-[WSO2 Enterprise Integrator (⭐374)](https://github.com/wso2/product-ei) - An API-centric, cloud-native, and distributed integration platform designed to provide a robust solution for software engineers.
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*The Integration frameworks section includes software tools and libraries that help developers implement and manage integration patterns in their applications. These frameworks are based on well-established Enterprise Integration Patterns (EIPs), which provide a standard vocabulary and architecture for designing and implementing integration solutions. The frameworks in this section can help simplify the process of integrating different systems, applications, and data sources by providing pre-built connectors, message routing, and transformation capabilities.*
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-[Apache Camel (⭐5.5k)](https://github.com/apache/camel) - A powerful integration framework that uses Enterprise Integration Patterns to connect and unify different transport APIs.
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-[Ballerina (⭐3.6k)](https://github.com/ballerina-platform/ballerina-lang) - An open-source programming language that simplifies the creation, usage, and combination of network services.
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-[Frank!Framework (⭐129)](https://github.com/frankframework/frankframework) - A Low-Code Java-based messaging framework to connect your system and application data, that is completely configurable through XML configurations.
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-[Frank!Framework (⭐130)](https://github.com/frankframework/frankframework) - A Low-Code Java-based messaging framework to connect your system and application data, that is completely configurable through XML configurations.
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-[Spring Integration (⭐1.5k)](https://github.com/spring-projects/spring-integration) - An extension of the Spring programming model that supports Enterprise Integration Patterns, allowing for streamlined integration of various systems.
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-[BSON](https://bsonspec.org/) - Binary-encoded serialization format for JSON-like documents that is designed to be lightweight and efficient. It supports rich data types and is widely used in NoSQL databases, such as MongoDB.
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-[CSV](https://datatracker.ietf.org/doc/html/rfc4180) - A simple and widely used data format that stores tabular data in plain text. It is easy to read and write, and can be processed by most programming languages.
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-[JSON](https://datatracker.ietf.org/doc/html/rfc8259) - A lightweight and easy-to-read data format that is widely used for data exchange. It supports a wide range of data types and is compatible with many programming languages.
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-[NDJSON (⭐681)](https://github.com/ndjson/ndjson-spec) - A standard for delimiting JSON objects in stream protocols. It allows for efficient processing of large JSON datasets and is widely used in big data processing.
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-[NDJSON (⭐682)](https://github.com/ndjson/ndjson-spec) - A standard for delimiting JSON objects in stream protocols. It allows for efficient processing of large JSON datasets and is widely used in big data processing.
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-[Protocol Buffers (⭐65k)](https://github.com/protocolbuffers/protobuf) - A language-neutral and platform-neutral serialization mechanism that is designed to be highly efficient and extensible. It supports rich data types and is widely used in distributed systems, such as gRPC and Apache Kafka.
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-[XML](https://www.w3.org/TR/xml11/) - A flexible and widely used markup language that is used for storing and exchanging structured data. It supports rich data types and is compatible with many programming languages.
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-[YAML (⭐347)](https://github.com/yaml/yaml-spec) - A human-friendly and easy-to-read data serialization format that is widely used for configuration files and data exchange. It supports rich data types and is compatible with most programming languages.
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-[hierformR](https://CRAN.R-project.org/package=hierformR) – Determine paths and states that social networks develop over time to form social hierarchies.
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-[igraph](http://igraph.org/r/) - A collection of network analysis tools.
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-[Network Analysis and Visualization with R and igraph](http://kateto.net/networks-r-igraph) (2016).
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-[ig.degree.betweenness](https://github.com/benyamindsmith/ig.degree.betweenness/) - an igraph implementation of the [Smith-Pittman](https://arxiv.org/abs/2411.01394) community detection algorithm (2024).
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-[influenceR](https://CRAN.R-project.org/package=influenceR) - Compute various node centrality network measures by Burt, Borgatti and others.
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-[keyplayer](https://CRAN.R-project.org/package=keyplayer) - Implements several network centrality measures.
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-[latentnet](https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects.
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A registry allows you to publish your Rust libraries as crate packages, to share them with others publicly and privately.
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*[cenotelie/cratery](https://github.com/cenotelie/cratery) - A lightweight private cargo registry with batteries included, built for organisations, including features similar to [docs.rs](https://docs.rs) and [deps.rs](https://deps.rs). [](https://github.com/cenotelie/cratery/actions/workflows/ci.yml)
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*[Cloudsmith :heavy_dollar_sign:](https://cloudsmith.com/product/formats/cargo-registry) - A fully managed package management SaaS, with first-class support for public and private Cargo/Rust registries (plus many others). Has a generous free-tier and is also completely free for open-source.
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*[w4/chartered](https://github.com/w4/chartered) - A private, authenticated, permissioned Cargo registry [](https://github.com/w4/chartered/actions/workflows/ci.yml)
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-[ChiefOnboarding](https://chiefonboarding.com) - Employee onboarding platform that allows you to provision user accounts and create sequences with todo items, resources, text/email/Slack messages, and more! Available as a web portal and Slack bot. ([Source Code](https://github.com/chiefonboarding/ChiefOnboarding)) `AGPL-3.0``Docker`
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-[Dagu](https://dagu.readthedocs.io/) - Powerful Cron alternative with a Web UI. It allows you to define dependencies between commands as a Directed Acyclic Graph (DAG) in a declarative YAML format. ([Source Code](https://github.com/dagu-dev/dagu)) `GPL-3.0``Go/Docker`
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-[Discount Bandit](https://discount-bandit.cybrarist.com/)`⚠` - Track pricing, stock status of products across multiple stores such as Amazon, Ebay, Walmart, etc. ([Demo](https://discount-bandit.cybrarist.com/screenshots.html), [Source Code](https://github.com/Cybrarist/Discount-Bandit)) `GPL-3.0``PHP/Docker`
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-[Discount Bandit](https://discount-bandit.cybrarist.com/)`⚠` - Track pricing, stock status of products across multiple stores such as Amazon, Ebay, Walmart, etc. ([Demo](https://discount-bandit.cybrarist.com/screenshots.html), [Source Code](https://github.com/Cybrarist/Discount-Bandit)) `GPL-3.0``PHP/Docker`
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-[Dittofeed](https://www.dittofeed.com) - Omni-channel customer engagement and messaging automation platform (alternative to Braze, Customer.io, Iterable). ([Demo](https://demo.dittofeed.com/dashboard/journeys), [Source Code](https://github.com/dittofeed/dittofeed)) `MIT``Docker`
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-[Exadel CompreFace](https://exadel.com/solutions/compreface/) - Face recognition system that provides REST API for face recognition, face detection, and other face services, and is easily deployed with docker. There are SDKs for Python and JavaScript languages. Can be used without prior machine learning skills. ([Source Code](https://github.com/exadel-inc/CompreFace)) `Apache-2.0``Docker/Java/Nodejs`
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-[feedmixer](https://github.com/cristoper/feedmixer) - FeedMixer is a WSGI (Python3) micro web service which takes a list of feed URLs and returns a new feed consisting of the most recent n entries from each given feed(Returns Atom, RSS, or JSON). ([Demo](https://mretc.net/feedmixer/json?f=https://hnrss.org/newest&f=https://americancynic.net/atom.xml&n=1)) `WTFPL``Python`
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-[HandBrake Web](https://github.com/TheNickOfTime/handbrake-web) - Platform to use one or more instances of HandBrake video transcoder on a headless device via a web interface. `AGPL-3.0``Docker`
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-[HandBrake Web](https://github.com/TheNickOfTime/handbrake-web) - Platform to use one or more instances of HandBrake video transcoder on a headless device via a web interface. `AGPL-3.0``Docker`
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-[Headphones](https://github.com/rembo10/headphones) - Automated music downloader for NZB and Torrent, written in Python. It supports SABnzbd, NZBget, Transmission, µTorrent, Deluge and Blackhole. `GPL-3.0``Python`
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-[Healthchecks](https://healthchecks.io/) - Django app which listens for pings and sends alerts when pings are late. ([Source Code](https://github.com/healthchecks/healthchecks)) `BSD-3-Clause``Python`
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-[HRConvert2](https://github.com/zelon88/HRConvert2) - Drag-and-drop file conversion server with session based authentication, automatic temporary file maintenance, and logging capability. `GPL-3.0``PHP`
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