Libraries tagged by layer

sunaoka/laravel-facade-generator

17 Favers
2502 Downloads

Provide command line generation of facade layer files.

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sumeetghimire/laravel-ai-orchestrator

10 Favers
193 Downloads

A unified, driver-based AI orchestration layer for Laravel

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stefanfroemken/dropbox

24 Favers
2228 Downloads

Dropbox FAL Driver - Provides a Dropbox driver for TYPO3 File Abstraction Layer

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silverorange/mdb2

2 Favers
192272 Downloads

PEAR MDB2 is a merge of the PEAR DB and Metabase php database abstraction layers.

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silassare/gobl

3 Favers
756 Downloads

Gobl allows you to use a Database Abstraction Layer (DBAL) and Object-Relational Mapping (ORM) to query your database with PHP.

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shopsys/read-model

0 Favers
111497 Downloads

[experimental] Read model layer for Shopsys Framework

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sevenphp/savantphp

4 Favers
4006 Downloads

Savant (SavantPHP) is a simple and minimalistic, yet object-oriented, Templating System For PHP minimalist. It aims at ONE thing, being a simple lightweight TEMPLATING system. The focus is on ONE thing - PHP can do everything, so do everything with PHP, just use SavantPHP for only separating the 'view/templating' concern from your business logic. Hence the philosophy of 'I just want to separate my front layer(view) from the back layer(code logic) in the most simple & effective way & that's it, nothing more, nothing less, nothing else (no added crap)'

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sendx/sendx-php-sdk

0 Favers
14264 Downloads

# SendX REST API Documentation ## 🚀 Introduction The SendX API is organized around REST principles. Our API has predictable resource-oriented URLs, accepts JSON-encoded request bodies, returns JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs. **Key Features:** - 🔒 **Security**: Team-based authentication with optional member-level access - 🎯 **Resource-Oriented**: RESTful design with clear resource boundaries - 📊 **Rich Data Models**: Three-layer model system (Input/Output/Internal) - 🔗 **Relationships**: Automatic prefix handling for resource relationships - 📈 **Scalable**: Built for high-volume email marketing operations ## 🏗️ Architecture Overview SendX uses a three-layer model architecture: 1. **Input Models** (`RestE*`): For API requests 2. **Output Models** (`RestR*`): For API responses with prefixed IDs 3. **Internal Models**: Core business logic (not exposed in API) ## 🔐 Security & Authentication SendX uses API key authentication: ### Team API Key ```http X-Team-ApiKey: YOUR_TEAM_API_KEY ``` - **Required for all requests** - Team-level access to resources - Available in SendX Settings → Team API Key ## 🆔 Encrypted ID System SendX uses encrypted IDs for security and better developer experience: - **Internal IDs**: Sequential integers (not exposed) - **Encrypted IDs**: 22-character alphanumeric strings - **Prefixed IDs**: Resource-type prefixes in API responses (`contact_`) ### ID Format **All resource IDs follow this pattern:** ``` _ ``` **Example:** ```json { "id": "contact_BnKjkbBBS500CoBCP0oChQ", "lists": ["list_OcuxJHdiAvujmwQVJfd3ss", "list_0tOFLp5RgV7s3LNiHrjGYs"], "tags": ["tag_UhsDkjL772Qbj5lWtT62VK", "tag_fL7t9lsnZ9swvx2HrtQ9wM"] } ``` ## 📚 Resource Prefixes | Resource | Prefix | Example | |----------|--------|---------| | Contact | `contact_` | `contact_BnKjkbBBS500CoBCP0oChQ` | | Campaign | `campaign_` | `campaign_LUE9BTxmksSmqHWbh96zsn` | | List | `list_` | `list_OcuxJHdiAvujmwQVJfd3ss` | | Tag | `tag_` | `tag_UhsDkjL772Qbj5lWtT62VK` | | Sender | `sender_` | `sender_4vK3WFhMgvOwUNyaL4QxCD` | | Template | `template_` | `template_f3lJvTEhSjKGVb5Lwc5SWS` | | Custom Field | `field_` | `field_MnuqBAG2NPLm7PZMWbjQxt` | | Webhook | `webhook_` | `webhook_9l154iiXlZoPo7vngmamee` | | Post | `post_` | `post_XyZ123aBc456DeF789GhI` | | Post Category | `post_category_` | `post_category_YzS1wOU20yw87UUHKxMzwn` | | Post Tag | `post_tag_` | `post_tag_123XyZ456AbC` | | Member | `member_` | `member_JkL012MnO345PqR678` | ## 🎯 Best Practices ### Error Handling - **Always check status codes**: 2xx = success, 4xx = client error, 5xx = server error - **Read error messages**: Descriptive messages help debug issues - **Handle rate limits**: Respect API rate limits for optimal performance ### Data Validation - **Email format**: Must be valid email addresses - **Required fields**: Check documentation for mandatory fields - **Field lengths**: Respect maximum length constraints ### Performance - **Pagination**: Use offset/limit for large datasets - **Batch operations**: Process multiple items when supported - **Caching**: Cache responses when appropriate ## 🛠️ SDKs & Integration Official SDKs available for: - [Golang](https://github.com/sendx/sendx-go-sdk) - [Python](https://github.com/sendx/sendx-python-sdk) - [Ruby](https://github.com/sendx/sendx-ruby-sdk) - [Java](https://github.com/sendx/sendx-java-sdk) - [PHP](https://github.com/sendx/sendx-php-sdk) - [JavaScript](https://github.com/sendx/sendx-javascript-sdk) ## 📞 Support Need help? Contact us: - 💬 **Website Chat**: Available on sendx.io - 📧 **Email**: [email protected] - 📚 **Documentation**: Full guides at help.sendx.io --- **API Endpoint:** `https://api.sendx.io/api/v1/rest` [](https://god.gw.postman.com/run-collection/33476323-44b198b0-5219-4619-a01f-cfc24d573885?action=collection%2Ffork&source=rip_markdown&collection-url=entityId%3D33476323-44b198b0-5219-4619-a01f-cfc24d573885%26entityType%3Dcollection%26workspaceId%3D6b1e4f65-96a9-4136-9512-6266c852517e)

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semitexa/theme

1 Favers
788 Downloads

Semitexa theme/skin resolver layer + base theme (layouts, partials, default skin, SkinAlgorithmInterface contract). Framework + theme-base rolled into one package.

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semitexa/api

0 Favers
512 Downloads

Semitexa API - external API product layer with machine credentials, versioned routes, and M2M contracts

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scoumbourdis/laminas-db

1 Favers
3843 Downloads

Database abstraction layer, SQL abstraction, result set abstraction, and RowDataGateway and TableDataGateway implementations

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saleslayer/magento-enterprise-plugin

5 Favers
9183 Downloads

Adobe commerce extension for Sales Layer PIM

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rubix/sentiment

119 Favers
602 Downloads

An example project using a multi layer feed forward neural network for text sentiment classification trained with 25,000 movie reviews from IMDB.

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rubix/cifar-10

63 Favers
273 Downloads

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

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plesk/laminas-db

0 Favers
6070 Downloads

Database abstraction layer, SQL abstraction, result set abstraction, and RowDataGateway and TableDataGateway implementations

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