Flowlet is a developer-centric low-code API platform that simplifies API creation and integration without compromising on functionality or flexibility. It allows developers to use TypeScript for custom logic within its low-code environment, combining the benefits of visual development with the power of a full-fledged programming language. The platform streamlines the implementation of REST APIs and JSON APIs, while automating much of the complexity around standards like OAuth2, JWT, OpenID, and OpenAPI. This automation accelerates development without oversimplifying the integration process, allowing developers to maintain full control over their API architecture. Flowlet excels at making API integrations easier, whether you're working with standardized or custom APIs. It provides robust tools for quickly connecting to external APIs while offering the flexibility to handle complex integration scenarios. Suitable for creating new APIs or modernizing existing ones, Flowlet caters to developers and teams looking to speed up their API development lifecycle without sacrificing depth or customization. Its flexible pricing model accommodates projects of all sizes, from individual developers to large enterprises.
Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
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Based on our record, Ollama seems to be more popular. It has been mentiond 173 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.
Ollama is the Docker of AI modelsโsimple, powerful, and developer-friendly. - Source: dev.to / about 3 hours ago
We also need a model to talk to. You can run one in the cloud, use Hugging Face, Microsoft Foundry Local or something else but I choose* to use the qwen3 model through Ollama:. - Source: dev.to / 8 days ago
Now we will use Docker and Ollama to run the EmbeddingGemma model. Create a file named Dockerfile containing:. - Source: dev.to / 9 days ago
For the physical hardware I use the esp32-s3-box[1]. The esphome[2] suite has firmware you can flash to make the device work with HomeAssistant automatically. I have an esphome profile[3] I use, but I'm considering switching to this[4] profile instead. For the actual AI, I basically set up three docker containers: one for speech to text[5], one for text to speech[6], and then ollama[7] for the actual AI. After... - Source: Hacker News / 12 days ago
In short, Ollama is a local LLM runtime; itโs a lightweight environment that lets you download, run, and chat with LLMs locally; Itโs like VSCode for LLMs. Although if you want to run an LLM on a container (like Docker), that is also an option. The goal of Ollama is to handle the heavy lifting of executing models and managing memory, so you can focus on using the model rather than wiring it from scratch. - Source: dev.to / 12 days ago
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