rhino
Node RED
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rhino | Node RED | |
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5 | 200 | |
593 | 18,558 | |
1.9% | 1.7% | |
8.8 | 9.3 | |
10 days ago | 3 days ago | |
Python | JavaScript | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rhino
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Speech Recognition in Unity: Adding Voice Input
Download pre-trained models: "Porcupine" from Porcupine Wake Word and Video Player Context from Rhino Speech-to-Intent repositories - You can also train a custom models on Picovoice Console.
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Speech Recognition with SwiftUI
In order to initialize the voice AI, we’ll need both Porcupine (.ppn) and Rhino (.rhn) model files. Picovoice has made several pre-trained Porcupine and pre-trained Rhino models available on the Picovoice GitHub repositories. For this Barista app, we’re going to use the trigger phrase Hey Barista and the Coffee Maker context.
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Cross-Browser Voice Commands with React
Get an AccessKey for free from Picovoice Console. You will need it as part of the init function. Also, get the English Parameter for Rhino from GitHub and save it to the public directory. Rhino uses this file as the basis to understand English context (other languages are also supported).
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Ask HN: Private Alternatives to Alexa?
The only viable option that I found that could reliably infer commands from speech is https://github.com/Picovoice/rhino
Unfortunately it is not open source (the GitHub just has binary blobs) and requires an account to log in to generate and download model files, but the accuracy is great and you can use it to send commands to Home Assistant to turn lights on/off etc.
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Any self hosted Alexa's or similar?
https://github.com/Picovoice/rhino/blob/master/LICENSE sayt it's Apache 2 license
Node RED
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Devin, the First AI Software Engineer
Good question.
I expect that we're moving into a phase of AIs talking to AIs, and initially it'll be wasteful (because it'll be mostly English), but eventually, they'll derive their own language and seamlessly upgrade protocols when they determine they're talking to an AI. No clue how that will come about or what that language will look like, but honestly, it's kind of exciting.
Really interesting to think about how they might handle context, as well. Even though we have much bigger context windows (and they'll only get larger), context management is still a resource-management issue, which we'll probably continue to refine, as well. Imagine different strategies for managing both what is brought into the context of each request, as well as what form it could take (level of detail, additional references or commentary on it, etc). Things could get really unreadable even in English, and still be very interpretable for an LLM.
W.r.t. the graph-oriented interfaces, are you thinking something like Node-RED [1]? I'm seeing more and more people mention having LLMs produce non-text or structured outputs, like JSON, UI, and other things. Easy to imagine an LLM that wires together various open-source platforms, on-demand. Something like Node-RED for pipelines/functions, some UI tools for visualization/interactivity, other platforms for messaging, etc...
[1] https://nodered.org/
- IFTTT is killing its pay-what-you-want Legacy Pro plan
- Node-RED: Low-code programming for event-driven applications
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Pipe Dreams: The life and times of Yahoo Pipes
I skipped to chapter 9 in the article ("Clogged"), and it looked like Pipes failed because it didn't have a large enough team or a well-defined mission. As a result they couldn't offer a super robust product that would lure in enterprise users. "You could not purchase some number of guaranteed-to-work Pipes calls per month" is the quote from the article.
The reason I think that interesting is because that's the model these days for everything from AI tokens to Monday.com seats. It makes me feel like Pipes was before its time.
That said I've been collecting different "business glue" products that are similar to Pipes. To me, like you say, they aren't as interesting, exciting and intuitive as Pipes was, but maybe it just takes a little more digging. I tried to focus on open source tools but some aren't.
- n8n io: https://n8n.io/integrations/mondaycom/
- Node-RED: https://nodered.org/ (just read about this one in this thread)
- trigger dev: trigger.dev
- automatisch.io: https://automatisch.io/docs/
- Activepieces: https://www.activepieces.com/docs/getting-started/introducti...
- Huginn: https://github.com/huginn/huginn
- budibase: https://budibase.com/
- windmill: https://www.windmill.dev/
- tooljet: https://www.tooljet.com/workflows
- Bracket: https://www.usebracket.com/pricing (just SalesForce <-> PostgreSQL)
- Zapier: zapier.com/
Anyway I hope some of these are fun!
- Open source IPaaS With Drag and Drop integration
- Ask YC: tracking events platform and no-code workflow
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#OpenSourceDiscovery 84 - Node-RED, alternative to IFTTT or Zapier, a workflow automation tool
Source: https://github.com/node-red/node-red
- Low-code programming for event-driven applications
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n8n.io - A powerful workflow automation tool
I believe Node-RED (https://nodered.org/) the way to go. It's just an NPM package to install and you can run it how ever you wish (even on Windows). It has a friendly and helpful community with even the main developers tirelessly answering even beginner level questions. In fact the community forum its THE friendliest forum I've ever been a member of by a large margin. Node-RED's development is supported by the JS Foundation and it's completely free and open source. It's widely used in the industrial automation industry and even integrated by some PLC manufacturers such as Siemens.
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Loops and conditional branching (IF then else) in ComfyUI?
Does anyone know if their are plans to implement something like this (or if there are already custom nodes out there). I'd like to experiment with things like looping and incrementing values (like a for loop) for a Ksampler for example. It's only an example though, so I am not looking for a ksampler specific solution; just a generic way to have a variable (e.g. Seed value), run some nodes that use that value, increment the value, and then loop back to the beginning until some sort of condition is met. Node-Red (an event driven node based programming language) has this functionality so it could defintely work in a node based environment such as ComfyUI (see here).
What are some alternatives?
rhasspy - Offline private voice assistant for many human languages
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
picovoice - On-device voice assistant platform powered by deep learning
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
Speech-Recognition - Speech Recognition library for adding Voice Commands and Controls to all your applications. Whether you are building web apps, native apps or desktop apps, this technology can be integrated into any system with an internet connection.
openHAB - Add-ons for openHAB 1.x
Porcupine - On-device wake word detection powered by deep learning
Huginn - Create agents that monitor and act on your behalf. Your agents are standing by!
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
esphome - ESPHome is a system to control your ESP8266/ESP32 by simple yet powerful configuration files and control them remotely through Home Automation systems.
cheetah - On-device streaming speech-to-text engine powered by deep learning
blockly - The web-based visual programming editor.