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GraphQL IDE for better development workflows
- Interactive Interface - GraphQL Playground provides a user-friendly, interactive interface for exploring and testing GraphQL queries and mutations. This allows developers to quickly experiment with their GraphQL API.
- Auto-Completion and Syntax Highlighting - It offers auto-completion and syntax highlighting which increases productivity by helping developers write correct GraphQL queries faster.
- Built-in Documentation - The built-in documentation explorer helps developers easily navigate and understand the GraphQL schemas, types, and fields available in their API.
- Real-time Error Feedback - Provides real-time error feedback, making it easier to identify and fix issues while writing queries, resulting in smoother development workflows.
- Request History - GraphQL Playground maintains a history of queries and mutations executed, allowing developers to quickly revisit and reuse previous work.
#Realtime Backend / API #GraphQL #Digital Drawing And Painting 12 social mentions
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One API for 80+ AI models — LLM, image, video & music — priced up to 80% below the official APIs. Pay only for successful calls; failed runs refunded; credits never expire.
- Pricing - Up to 80% below official APIs, from $0.0046/call
- Billing - Pay only for successful calls; failed runs refunded
- Models - 80+ models across LLM, image, video & music
#AI Tools #Developer APIs #Machine Learning Featured
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One-click documentation for GraphQL APIs
- Comprehensive Documentation - GraphQL Docs provides a structured and organized way to document GraphQL APIs, making it easy for developers to understand the schemas, types, queries, and mutations available in the API.
- Interactive Interface - The tool offers an interactive interface where developers can explore the API documentation dynamically, allowing them to test queries and see real-time responses.
- Customization - GraphQL Docs allows for customization in terms of themes and organization, enabling teams to tailor the appearance and layout of their documentation to suit their specific needs.
- Auto-Generated - The documentation can be auto-generated directly from the GraphQL schema, reducing manual effort and ensuring the docs are always up-to-date with the actual API implementation.
#Realtime Backend / API #GraphQL #Digital Drawing And Painting
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Everything you need to run your GraphQL API at scalePricing:
- Freemium
- Free Trial
- $10 (per million requests)
- GraphQL Metrics
- GraphQL Edge Cache
- GraphQL Security
#SaaS #Realtime Backend / API #GraphQL 11 social mentions
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GraphQL benefits, success stories, guides, and more
- Efficient Data Fetching - GraphQL allows clients to specify exactly what data they need, reducing over-fetching and under-fetching of data compared to traditional REST APIs.
- Flexible Queries - Clients have the power to request different data structures with GraphQL without changing the backend, allowing for greater flexibility in data retrieval.
- Strongly Typed Schema - GraphQL APIs are defined by a strongly typed schema, which can lead to greater consistency and predictability in API responses.
- Single Endpoint - All interactions with a GraphQL API happen through a single endpoint, which can simplify the API architecture and management.
- Ecosystem and Tooling - GraphQL has a rich ecosystem of tools and features, such as introspection for automatic documentation, which make development more efficient.
#Realtime Backend / API #GraphQL #Digital Drawing And Painting
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Generate GraphQL resolvers easily with GraphQL Centaur CLI
- Efficiency - GraphQL Centaur can optimize query performance by allowing you to request exactly the data you need, reducing unnecessary data transfer.
- Real-time Collaboration - Supports real-time collaboration features which can be very helpful for distributed teams working on the same GraphQL schema.
- Schema Visualization - Provides tools for visualizing the GraphQL schema, making it easier to understand and navigate complex relationships.
- Cross-platform Support - The CLI tool is compatible with multiple operating systems, making it accessible to a wider range of developers.
- Integration - Offers integration with various development environments and CI/CD pipelines, enhancing overall workflow efficiency.
#SaaS #Realtime Backend / API #GraphQL 1 social mentions
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Your journey to master pragmatic GraphQL in JavaScript
#Realtime Backend / API #GraphQL #Digital Drawing And Painting
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Quell provides a caching solution for GraphQL
- Performance Enhancement - QuellQL improves performance by caching GraphQL responses, leading to reduced server load and faster client responses.
- Automatic Cache Management - It facilitates automatic cache management, reducing the need for developers to manually handle state and cache updates.
- Reduced Network Traffic - By serving cached responses, QuellQL helps minimize unnecessary network requests, which can lead to lower latency and bandwidth use.
- Open Source Flexibility - As an open-source project, users can contribute to its development, customize it to fit specific needs, and benefit from community-generated improvements.
- Ease of Integration - QuellQL is designed to be easily integrable into existing GraphQL implementations, offering a straightforward setup process for developers.
#Realtime Backend / API #GraphQL #Developer Tools
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Ready-to-deploy template for ScaleDynamics platform
#Productivity #GraphQL #Developer Tools
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Automated AI security testing for agents, chatbots, and APIs. Find prompt injection, data leaks, and unsafe behavior before launch.Pricing:
- Paid
- Free Trial
- $499 / Monthly (Enterprise: 30 scans, 1 active runner license)
- CI Release Gates - Apply configured security criteria in CI to flag or block releases based on test results.
- Free Security Resources - Five public tools for release planning, security checklists, prompt injection examples, and OWASP test mapping.
- Evidence and Reports - Review findings with evidence and remediation guidance, and export JSON or PDF reports.
- AI Security Testing - 138 automated checks across 18 attack categories for prompt injection, data leaks, unsafe tool behavior, and other AI risks.
- Supported Targets - Test AI API endpoints and web chatbots, including applications powered by agents and LLMs.
#Cyber Security #AI #APIs Featured

