
Surge XT
Vital
VCV Rack
ZynAddSubFX
Synth1
TAL-NoiseMaker
VHS Synth
Auxy Music Studio
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
Surge XT is an open-source hybrid synthesizer and the synth which started the Surge Synth Team project!
Surge XT
DeepnoteBased on our record, Surge XT should be more popular than Deepnote. It has been mentiond 179 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.
- Surge XT - open-source synthesizer with literally 10k presets built in: https://surge-synthesizer.github.io/. - Source: Hacker News / 11 months ago
Good stuff! I started getting in to this at the start of the year. Already had an old, dusty MicroKORG and MIDI interface to use it as a controller, but recently splashed out on a bigger controller as the Korg's tiny keys were hurting me - plus, I wanted something bigger to get better at piano! A couple of free soft synths I'd recommend are Surge XT, and Vital. https://surge-synthesizer.github.io/... - Source: Hacker News / almost 3 years ago
Https://surge-synthesizer.github.io/ and https://asb2m10.github.io/dexed/ should work like a charm. Source: about 3 years ago
To get the equivalent of a symphonic orchestra in your computer, the solution is basically money; you buy the instruments you need. In the case of synthesizers, things are much cheaper - if you put in the effort yourself. https://surge-synthesizer.github.io/ is excellent and could even be used if you wanted to make a more retro-style soundtrack. Source: about 3 years ago
Instead of Synth1, try https://surge-synthesizer.github.io/ . It's pretty much better in every aspect except for the UI which is going to look a lot more daunting to you ;). Source: about 3 years ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / over 3 years ago
Vital - Vital is a spectral warping wavetable synthesizer with drag'n'drop modulation workflow and animated preview of the synth's inner workings where needed. Comes with many modulation sources (including audio-rate), MPE support and FX chain.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
VCV Rack - A cross-platform modular synthesizer.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
ZynAddSubFX - ZynAddSubFX is an open source software synthesizer for Linux, Mac OS X and Microsoft Windows.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.