MindsDB
SuperDuperDB
Zetane Systems
Embeddinghub
Lionbridge
StoryboardHero
Adimen
GiniMachine
Deepnote
Amazon SageMaker
Apache Zeppelin
Saturn Cloud
Azure Synapse Analytics
GeoSpock
Databricks Unified Analytics Platform
Google BigQuery
MindsDB DeepnoteBased on our record, Deepnote should be more popular than MindsDB. It has been mentiond 32 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.
Install MindsDB locally or sign up for the MindsDB Cloud account. - Source: dev.to / about 2 months ago
Step 1: Create a MindsDB Cloud Account, If you already haven't done so. - Source: dev.to / 7 months ago
You check out MindsDB by signing up for a demo account. If you would like to learn more you can visit MindsDB's Documentation. If you want to contribute to MindsDB, visit their Github repository and if you like it give it a star. MindsDB has a vibrant Slack Community and amazing team that provides technical support, if you would like to join you can sign up here. - Source: dev.to / 8 months ago
Using Large Language Models in your database can help improve your product by helping you gain insights from data, make relevant predictions, understand user behavior, and generate contextually relevant human-like content. MindsDB allows you to build AI applications fast by simplifying the processes of using ML models inside your database. The models are designed to be production ready by default without the need... - Source: dev.to / 9 months ago
MindsDB provides all users with a free MindsDB Cloud version that they can access to generate predictions on their database. You can sign up for the free MindsDB Cloud Version by following the setup guide. Verify your email and log into your account and you are ready to go. Once done, you should be seeing a page like this :. - Source: dev.to / about 1 year 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 / 3 months 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 / 11 months ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
SuperDuperDB - Say goodbye to complex MLOps pipelines and specialized vector databases. Integrate and train AI directly with your preferred database, only using Python.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Zetane Systems - Powerful software for AI in business & industry
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Embeddinghub - Embeddinghub is an open-source vector database for machine learning embeddings.
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.
