Our knowledge engineers spent years crafting our complex food ontology, which allows us to understand the relationships between ingredients, recipes, nutrition, allergens, and more.
We understand "nut free" muffins can't contain pecans (even if the recipe doesn't mention "nuts" anywhere!) and we automatically determine that a recipe with Worcestershire sauce isn't vegetarian (we're looking at you, anchovies.)
Based on our record, Apache Kafka seems to be a lot more popular than spoonacular API. While we know about 120 links to Apache Kafka, we've tracked only 9 mentions of spoonacular API. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Spoonacular - Food api which have access over 330,000 recipes and 80,000 food products. - Source: dev.to / 6 days ago
This incredibly API offers a large set of data for ingredients, recipes, products and menu items, a great food or nutrition app could be built using this API. Link: spoonacular Api key required: yes. - Source: dev.to / about 1 year ago
Spoonacular advertises their API as "the only food API you'll ever need.". - Source: dev.to / over 1 year ago
Maybe try https://spoonacular.com/food-api Krogers API is stupidly overly complicated lol. Source: over 1 year ago
Source - https://spoonacular.com/food-api Example Project - https://e-recipes.netlify.app/. - Source: dev.to / almost 2 years ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 1 month ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
Tebex - The payments service for the gaming industry that funds thousands of servers all across the world.
RabbitMQ - RabbitMQ is an open source message broker software.
Whisk.com - Whisk’s technology uses deep-learning and Natural Language Processing (NLP) to help the world’s leading brands to build integrated, smarter, and more meaningful digital food experiences.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
CraftingStore - Game donation system, we want to make server donations easy and simple by automatically processing payments!
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.