Visual Studio App Center is recommended for mobile app developers who require a scalable solution for continuous integration, delivery, and testing. It's particularly useful for teams that develop cross-platform applications and need a unified platform to manage builds, distributions, and monitoring. Developers who are already using Microsoft's ecosystem or those who prefer a cloud-based development environment will find App Center to be especially beneficial.
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.
Based on our record, Ollama should be more popular than Visual Studio App Center. 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.
Appcenter will allow you to build your app for iOS and install on your device without submitting to the App Store. https://appcenter.ms/. Source: about 2 years ago
We've been using app center for build distribution (https://appcenter.ms/). Source: over 2 years ago
But, https://appcenter.ms/ and others like it are already available with generous free tiers and a lot more features (which you don't have to use, but can grow into), not to mention GitHub actions as others have noted. Does this advantages over existing, standard solutions? Source: over 2 years ago
There are lots of choices. Google android device testing. Offhand https://appcenter.ms comes to mind. Source: over 2 years ago
You don t need a mac, use microsofts app center to build it. https://appcenter.ms. Source: over 2 years ago
Ollama is the Docker of AI modelsโsimple, powerful, and developer-friendly. - Source: dev.to / about 2 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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