Based on our record, Jupyter seems to be a lot more popular than Almond. While we know about 205 links to Jupyter, we've tracked only 10 mentions of Almond. 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.
The key feature I haven't seen any of these opensource projects implement is microphone response coordination: If you have multiple microphones and speakers, which one responds? My google home's are terrible at this: often one in another room responds, but at least it's only one. When I tried to run Genie (https://genie.stanford.edu/) I had multiple devices responding simultaneously. It was a disaster. For me,... - Source: Hacker News / over 1 year ago
It's incredibly easy to do (caveat - at least if you're familiar with software dev already). Most thermostats are literally just digital thermometers that control a relay that turns the furnace/ac on and off. A simple arduino (or much cheaper IC) can easily do the same thing if you wire it in. And then on the software side... there's several large, open-source projects that exist in this space and provide nice api... - Source: Hacker News / over 1 year ago
Because there's surely enough software available, right (i.e. susi.ai, Mycroft, Kalliope, DeepSpeech, leon, Jasper, Vosk or Genie)? Source: about 2 years ago
On the home assistants, it’s actually a cool solution. What they do is actually use a local ML algorithm to recognize the alert word (hey Google, Alexa, etc.) and only when they hear it do they stream the audio to their inference servers. There are things like almond which is entirely self hosted option I’d like to move to eventually. Source: about 2 years ago
I think a key feature of a smart speaker is the voice assistant. The only privacy aware I know of is Almond (AKA Genie) from Stanford[1]. I don't think there is any commercial speaker using Almond out there. However, Im betting you could DIY it. [1] https://genie.stanford.edu/. - Source: Hacker News / about 2 years ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 6 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 17 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 12 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / about 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / about 2 months ago
Mycroft.AI - Mycroft is the world’s first open source assistant.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Rhasspy - Rhasspy transforms voice commands into JSON events that can trigger actions in home automation software.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Google Assistant - Get things done with Google Assistant
Google BigQuery - A fully managed data warehouse for large-scale data analytics.