Saturn Cloud
Amazon SageMaker
Databricks Unified Analytics Platform
Apache Zeppelin
Azure Synapse Analytics
Deepnote
Google BigQuery
GeoSpock
GitHub
GitLab
BitBucket
VS Code
Git
Treehouse
Pantheon
CodePen
Saturn Cloud is an award-winning ML platform with 75,000+ users, including NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. It is an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Users can spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, build large language models, and more in a completely hosted environment.
Data scientists and analysts work best using the tools they want to use. You can use your preferred languages, IDEs, and machine-learning libraries in Saturn Cloud. We offer full Git integration, shared custom images, and secure credential storage, making scaling and building your team in the cloud easy. We support the entire machine learning lifecycle from experimentation to production with features like jobs and deployments. These features and built-in tools are easily shareable within teams, so time is saved and work is reproducible.
Saturn Cloud GitHubfast, easy to create container, clear bill
I have used many alternative platform but nothing comes close to this
Smooth and bug free experience. There are ready data science images with pre loaded packages for most common scenarios, making you focus on the project/problem and leave the infrastructure part to Saturn Cloud.
GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.
Based on our record, GitHub seems to be a lot more popular than Saturn Cloud. While we know about 2483 links to GitHub, we've tracked only 7 mentions of Saturn Cloud. 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.
After the MLOps tooling evaluation, our focus shifted to data engineering. Some teams in the company were already using tools like Dask and xarray to manage and process their datasets. The architect was determined to build a data lake for the organization. The vision was to make xarray datasets accessible via Intake, using a Dask-capable computing platform. For the compute platform, we explored services like... - Source: dev.to / over 1 year ago
Not 100% sure of your intention, but if you work with python, and you're familiar with (or can spend the time learning) dask, and willing to pay, you can consider coiled.io or saturncloud.io that offer managed dask that you can scale and use GPUs etc (again, not sure if applicable to your use case). Source: over 3 years ago
SaturnCloud - Data science cloud environment, that allows to run Jupyter notebooks and Dask clusters. 30 hours free computation and 3 hours of Dask per month. - Source: dev.to / almost 4 years ago
I think your site looks good and I have used the type of service you offer, but there are 2 potential problems. As SheepherderPatient51 said,Google already offers all of this for free (and so does https://kaggle.com and https://www.paperspace.com ). There are also other sites just like yours such as https://deepnote.com,https://saturncloud.io, and https://lambdalabs.com . Source: almost 4 years ago
* How does it differ from other GPU cloud providers that offer ready to use Jupyter notebooks? (E.g. https://support.genesiscloud.com/support/solutions/articles/47001170102-running-jupyter-notebook-or-jupyterlab-on-your-instance or https://saturncloud.io/). - Source: Hacker News / over 4 years ago
1228 push attempts died with fatal: could not read Username for 'https://github.com' — an https remote with no credential helper and no stored Credentials. First one 2026-07-21T20:48:03Z, still failing as I write this. Thirty-nine Days. - Source: dev.to / 6 days ago
They can include the protocol, it’s that regardless of what’s put in there it’ll use https, which is explained with examples both in the following sentences and then in more detail in a linked doc. > For repositories on GitHub, GitLab, and Bitbucket, a specifier now names a repository rather than choosing a transport. github:owner/repo, owner/repo, git+https://…, and git+ssh://git@… all resolve through the host's... - Source: Hacker News / 9 days ago
First things first, and this case, we had to understand what git and git hub really is. From the lesson, Git is basically a version control systems installed on the computer that tracks changes made within a project. On the other hand, git hub refers to an online platform allowing users to store their git repositories and this could be easily accessed through [https://github.com/]. Apart from just storing... - Source: dev.to / 7 days ago
[credential] useHttpPath = true [credential "https://github.com/"] helper = helper = "!f() { \ [ \"$1\" = get ] || exit 0; \ account=''; \ while IFS='=' read -r k v; do \ [ \"$k\" = path ] && account=${v%%/*}; \ done; \ [ -n \"$account\" ] || exit 0; \ token=$(gh auth token --user \"$account\") || exit 0; \ printf... - Source: dev.to / 9 days ago
This has now created our repository. This repository contains a link which we can share to other users, and this is the link that we need to link our local folder with the newly created repository. To do this, simply access it once you scroll down in the page you are in the simply copy the http link. This is what we shall use. The link usually looks like this http://github.com//. - Source: dev.to / 12 days ago
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
VS Code - Build and debug modern web and cloud applications, by Microsoft