Libraries tagged by model meta

TableInsights is a powerful package designed specifically for back-end developers using the Laravel framework. It allows for easy conversion of database tables into meaningful statistics and insights using just a model.

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A simple trait to allow fluently querying repositories with an eloquent model. Gives back the flexibility of eloquent to some extent, while remaining explicit on which methods are supported by a repository.

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Add a method list of scopes, accessors, mutators, relations and so on to top of each model file.

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You can easily generate interface and class for resository with given model name. Created class implements created interface and they have methods to do basic operations like store(), getAll(), etc.

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The Inventory API is used to create and manage inventory, and then to publish and manage this inventory on an eBay marketplace. There are also methods in this API that will convert eligible, active eBay listings into the Inventory API model.

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The Inventory API is used to create and manage inventory, and then to publish and manage this inventory on an eBay marketplace. There are also methods in this API that will convert eligible, active eBay listings into the Inventory API model.

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The Inter TT REST API is described using OpenAPI 3.0. The descriptor for the api can be downloaded in both [YAML](http://localhost:8080/cyclos/api/openapi.yaml) or [JSON](http://localhost:8080/cyclos/api/openapi.json) formats. These files can be used in tools that support the OpenAPI specification, such as the [OpenAPI Generator](https://openapi-generator.tech). In the API, whenever some data is referenced, for example, a group, or payment type, either id or internal name can be used. When an user is to be referenced, the special word 'self' (sans quotes) always refers to the currently authenticated user, and any identification method (login name, e-mail, mobile phone, account number or custom field) that can be used on keywords search (as configured in the products) can also be used to identify users. Some specific data types have other identification fields, like accounts can have a number and payments can have a transaction number. This all depends on the current configuration. ----------- Most of the operations that return data allow selecting which fields to include in the response. This is useful to avoid calculating data that finally won't be needed and also for reducing the transfer over the network. If nothing is set, all object fields are returned. Fields are handled in 3 modes. Given an example object `{"a": {"x": 1, "y": 2, "z": 3}, "b": 0}`, the modes are: - **Include**: the field is unprefixed or prefixed with `+`. All fields which are not explicitly included are excluded from the result. Examples: - `["a"]` results in `{"a": {"x": 1, "y": 2, "z": 3}}` - `["+b"]` results in `{"b": 0}` - `["a.x"]` results in `{"a": {"x": 1}}`. This is a nested include. At root level, includes only `a` then, on `a`'s level, includes only `x`. - **Exclude**: the field is prefixed by `-` (or, for compatibility purposes, `!`). Only explicitly excluded fields are excluded from the result. Examples: - `["-a"]` results in `{"b": 0}` - `["-b"]` results in `{"a": {"x": 1, "y": 2, "z": 3}}` - `["a.-x"]` results in `{"a": {"y": 2, "z": 3}}`. In this example, `a` is actually an include at the root level, hence, excludes `b`. - **Nested only**: when a field is prefixed by `*` and has a nested path, it only affects includes / excludes for the nested fields, without affecting the current level. Only nested fields are configured. Examples: - `["*a.x"]` results in `{"a": {"x": 1}, "b": 0}`. In this example, `a` is configured to include only `x`. `b` is also included because, there is no explicit includes at root level. - `["*a.-x"]` results in `{"a": {"y": 2, "z": 3}, "b": 0}`. In this example, `a` is configured to exclude only `x`. `b` is also included because there is no explicit includes at the root level. For backwards compatibility, this can also be expressed in a special syntax `-a.x`. Also, keep in mind that `-x.y.z` is equivalent to `*x.*y.-z`. You cannot have the same field included and excluded at the same time - a HTTP `422` status will be returned. Also, when mixing nested excludes with explicit includes or excludes, the nested exclude will be ignored. For example, using `["*a.x", "a.y"]` will ignore the `*a.x` definition, resulting in `{"a": {"y": 2}}`. ----------- For details of the deprecated elements (operations and model) please visit the [deprecation notes page](https://documentation.cyclos.org/4.16.3/api-deprecation.html) for this version.

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Use the Analyze API to analyze any external asset and return details based on the type of analysis requested. Currently supports the following analysis options: * [AI Vision - Tagging](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#tagging_mode) * [AI Vision - Moderation](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#moderation_mode) * [AI Vision - General](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#general_mode) * [Google tagging](https://cloudinary.com/documentation/google_auto_tagging_addon) * [Captioning](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#ai_based_image_captioning) * [Cld Fashion](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Coco](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Lvis](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Unidet](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Human Anatomy](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Cld Text](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Shop Classifier](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) **Notes**: * The Analyze API is currently in development and is available as a Public Beta, which means we value your feedback, so please feel free to [share any thoughts with us](https://support.cloudinary.com/hc/en-us/requests/new). * The analysis options require an active subscription to the relevant add-on. Learn more about [registering for add-ons](https://cloudinary.com/documentation/cloudinary_add_ons#registering_for_add_ons). The API supports both Basic Authentication using your Cloudinary API Key and API Secret (which can be found on the Dashboard page of your [Cloudinary Console](https://console.cloudinary.com/pm)) or OAuth2 ([Contact support](https://support.cloudinary.com/hc/en-us/requests/new) for more information regarding OAuth).

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The Inventory API is used to create and manage inventory, and then to publish and manage this inventory on an eBay marketplace. There are also methods in this API that will convert eligible, active eBay listings into the Inventory API model.

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Translatable is a package that helps you have translatable fields on models. These fields will store your translations in JSON format and will be automatically fetched to your current app locale when you try to reach them. You can also get a specific language of your choice by using certain methods. Please refer to the Github page for further details.

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Create a structure for timely controlled tables (e.g. events) and one plugin for the different output of calendar views (list, detail, month, year, day, week...). The extension is shipped with one default event table, but you can also 'calendarize' your own table/model. It is completely independent and configurable! Use your own models as event items in this calender. Development on https://github.com/lochmueller/calendarize

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Provide various statistical measures for data

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NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, speech synthesis, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the PHP client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com. Github: https://github.com/nlpcloud/nlpcloud-php

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Trigger Eloquent model pivot events when attaching, detaching or updating.

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