Gitpod VS Aquarium
Compare Gitpod VS Aquarium and see what are their differences
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Gitpod
GitHub Codespaces
replit
Codeanywhere
AWS Cloud9
CodeSandbox
Coder
Koding
Aquarium
Scale Nucleus
AquariumCalc.com
ML Image Classifier
Prodigy
Roboflow Universe
PerceptiLabs
Google Cloud TPUs
Gitpod AquariumBased on our record, Gitpod seems to be a lot more popular than Aquarium. While we know about 76 links to Gitpod, we've tracked only 2 mentions of Aquarium. 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.
# Example of setting up a Gitpod workspace # Open your repository in Gitpod with one click Https://gitpod.io/#https://github.com/your-repo. - Source: dev.to / over 1 year ago
For my part, I often develop on cloud environments. I was lucky to come across Gitpod in 2019 and I have been using it everyday since, whether for Zenika projects, personal projects or open source projects. - Source: dev.to / about 2 years ago
We will use VScode workspace running on Gitpod as an IDE, you can use VScode on your local machine but you need to skip steps or change some details related to Gitpod. We will begin by setting up the workspace, preparing the requirements, and installing the dependencies. - Source: dev.to / almost 2 years ago
Next, we need to install Docker by downloading it from the official website if you haven't already. Alternatively, use a free online platform like Gitpod or a VPS to run a Docker instance, if possible. Otherwise, install it on your local computer. - Source: dev.to / almost 2 years ago
If you prefer instead to have a look at a fully working & effect-native app we've prepared a demo cli app that you can directly open in Gitpod or locally (if you prefer), you'll need to provide an OpenAI API Key in order to integrate with the OpenAI API. The demo app allows you to train a model via embeddings from a set of files and then allows you to prompt the trained model with questions. - Source: dev.to / over 2 years ago
Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / almost 5 years ago
#ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: almost 5 years ago
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Scale Nucleus - The mission control for your ML data
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
AquariumCalc.com - Free aquarium calculator tools for hobbyists. Calculate tank volume, water capacity, heater size, filter flow, and more.
Codeanywhere - Codeanywhere is a complete toolset for web development. Enabling you to edit, collaborate and run your projects from any device.
ML Image Classifier - Quickly train custom machine learning models in your browser