
Inkscape
Sketch
Adobe Illustrator
Affinity Designer
Adobe Photoshop
GIMP
Krita
Canva
Deepnote
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Google BigQuery
GeoSpock
Inkscape
DeepnoteGraphic designers, artists, and hobbyists who are looking for a cost-effective solution for creating and editing vector graphics, especially those familiar with or willing to learn about SVG and free graphic design tools.
Based on our record, Inkscape seems to be a lot more popular than Deepnote. While we know about 492 links to Inkscape, we've tracked only 34 mentions of Deepnote. 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.
Inkscape is a powerful vector graphic editor that enables artists to create scalable, high-quality imagesโideal for capturing the sleek, modern aesthetic associated with Muskโs brand. Whether you're drafting a minimalist portrait or designing complex geometric patterns, Inkscapeโs precision tools make it a go-to choice for NFT creators. Additionally, the softwareโs strong community of users provides a wealth of... - Source: dev.to / over 1 year ago
Tools such as GIMP and Inkscape offer robust features for graphic design. - Source: dev.to / over 1 year ago
I like the following jigsaw plug-in for Inkscape: https://inkscape.org/~Neon22/%E2%98%85lasercut-jigsaw. - Source: Hacker News / over 1 year ago
Inkscape is a rich and clean application for creating and modifying vector graphics, and good for creating icons. I was looking forward to applying my (very limited) art skills to create icons for the application. I fired up Inkscape and began throwing prompts at the LLM:. - Source: dev.to / over 1 year ago
For those who don't know the nice application, here is a brief introduction. It is a free software that allows us to work on design and illustration with intuitive and easy-to-understand operation, just like Adobe Illustrator. Please see the official site for deteials. - Source: dev.to / almost 2 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
Sketch - Professional digital design for Mac.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
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.
Affinity Designer - Professional creative software, exclusively for Mac.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.