Apache Kafka
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You can create different types of bodies inside its physics world with different parameters like restitution, friction, velocity etc. attach them with different types of Joints like spring, rope, chain, pulley etc. Due to its native Physics engine the accuracy in solving is great.
One can visualize the motion with the numerous built in tools like tracers of points on body or Body ghosting, Graphs between different parameters( like KE, speed, velocity, momentum, etc), FBD of grouped and ungrouped objects, Camera tool ( to set frame of reference) etc.
It supports gravitational , electric, magnetic and buoyancy fields. One can even set variable fields ( time dependent ) and can easily change the fields as well using sliders.
One can create their own GUI elements in it like buttons , sliders , checkboxes , List , dialog etc. and even can write scriptable codes in them for different events in its in-built powerful scripting editing tool.
Apache Kafka SimPhyNice interface and you can even add extra fields and script on buttons and sliders as well.
Based on our record, Apache Kafka seems to be more popular. It has been mentiond 155 times since March 2021. 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.
Kafka is a distributed streaming platform used to build real-time data pipelines and streaming applications. It allows producers to send messages to topics, which are then consumed by various consumers, making it ideal for event-driven architectures. - Source: dev.to / 2 months ago
Apache Kafka is the most widely used distributed event streaming platform and the standard transport layer for event-driven reconciliation architectures. - Source: dev.to / 3 months ago
For message-queue-based pipelines: RabbitMQ has native DLQ support through dead letter exchanges. Messages that exceed their retry count or their time-to-live are automatically routed to a designated DLQ exchange. Apache Kafka does not have native DLQ semantics, but the standard pattern is to write failed records to a dedicated topic (-dlq by convention) and include the failure metadata in the record headers. - Source: dev.to / 3 months ago
Upsert with timestamp tracking. Keep the upsert approach but track which time windows have been fully processed. On retry, skip windows that are marked complete and reprocess only windows that failed mid-run. The Kafka documentation covers offset management patterns that implement this for stream-based pipelines. - Source: dev.to / 3 months ago
Apache Kafka allows the payment service to publish a transaction event to a topic, without knowing who will consume it. The fraud service, the notification service, and any other interested component can subscribe to that topic independently:. - Source: dev.to / 3 months ago
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.
Physion - Browser-based 2D physics sandbox for teaching and tinkering
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Algodoo - Algodoo is a 2D simulator freeware product designed as a physics learning tool. It was originally created by Emil Emerfeldt as part of his masterโs thesis in 2008. Read more about Algodoo.
AFSAnalytics - AFSAnalytics.
Akinator - Akinator is an entertainment app that acts like a digital genie that can read your mind. The game will ask you a few questions about the character you have chosen, and it will attempt to guess the character from your provided answers.
