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Based on our record, Jupyter seems to be a lot more popular than Singularity Container. While we know about 206 links to Jupyter, we've tracked only 4 mentions of Singularity Container. 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.
I highly recommend checking out Singularity for your computational software. Running your software within containers allows you a lot of freedom, although it does create some complexity in regards to MPI based parallelization. Source: almost 2 years ago
Use a singularity image to contain what you want to deploy and give access on the jump host to the image. Permissions flow from existing OS permissions. https://sylabs.io/singularity/. Source: over 2 years ago
Singularity This is a HPC focused container system that has large industry support. You can use this to package finicky software that only runs on specific linux distributions or only allows for RPM/Deb installations. It is also another mechanism for users to bring their own software and it integrates fairly well with both Slurm and HTCondor. Source: over 2 years ago
> and it was then when they came up with a pretty cool name for their new OS — Singularity. Or, it was then when they (intentionally?) ripped off the name of an existing, open source, OS-related project. https://sylabs.io/singularity/. - Source: Hacker News / over 2 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
DockerSlim - DockerSlim (docker-slim): Don't change anything in your Docker container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source) - d...
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Earthly - Build anything via containers
Google BigQuery - A fully managed data warehouse for large-scale data analytics.