Based on our record, Pure Data should be more popular than Databricks. It has been mentiond 38 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.
My most recommended method for beginners has always been PD (https://puredata.info/) combined with The Theory and Technique of Electronic Music: (https://msp.ucsd.edu/techniques/latest/book.pdf) and this book (https://mitpress.mit.edu/9780262014410/designing-sound/). Eli's tutorials on SuperCollider are also very helpful: https://www.youtube.com/@elifieldsteel Of course, my project Glicol can also be helpful for... - Source: Hacker News / 3 days ago
For node based workflows, check out Max or Pure Data. https://cycling74.com/products/max https://puredata.info/. - Source: Hacker News / 4 months ago
Tools like Ossia Score, Chataigne and PureData (pd) can also help a ton in building interactive art and triggering other A/V software. Source: about 1 year ago
WebPd is a highly modular compiler for audio programming language Pure Data allowing to run .pd patches on web pages. It converts the audio graph and processing objects from a patch into plain human-readable JavaScript or WebAssembly which can then be integrated directly into any web application. Source: about 1 year ago
You might also be interested in the very different Pure Data (http://puredata.info/) environment, which is also free and open-source. It uses a visual programming approach, which many people like but if you are already a programmer it might seem inconvenient in comparison. Source: about 1 year ago
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
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