Docker vs mljar Mercury
Overview
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Detailed Comparison
The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere | It is the easiest way to turn your Python Notebooks into interactive web applications and publish to the cloud. It is dual-licensed. The main features are available in the open-source version. It is perfect for quick demos, educational purposes, sharing notebooks with friends. |
Integrated developer tools; open, portable images; shareable, reusable apps; framework-aware builds;
standardized templates; multi-environment support; remote registry management; simple setup for Docker and Kubernetes; certified Kubernetes; application templates; enterprise controls; secure software supply chain; industry-leading container runtime; image scanning; access controls; image signing; caching and mirroring; image lifecycle; policy-based image promotion | You define interactive widgets for your notebook with the YAML header;
Your users can change the widgets values, execute the notebook and save result (as PDF or HTML file);
You can add authentication to your notebooks, so only logged users will see the notebook;
You can hide your code to not scare your (non-coding) collaborators;
Easily deploy to any server;
You can schedule the notebook for automatic execution in selected time intervals;
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Statistics | |
GitHub Stars - | GitHub Stars 4.3K |
GitHub Forks - | GitHub Forks 272 |
Stacks 194.2K | Stacks 1 |
Followers 143.8K | Followers 3 |
Votes 3.9K | Votes 0 |
Pros & Cons | |
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Integrations | |
What are some alternatives to Docker, mljar Mercury?
LXD
LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Apache Zeppelin
A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
LXC
LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers.
Deepnote
Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.
rkt
Rocket is a cli for running App Containers. The goal of rocket is to be composable, secure, and fast.
Vagrant Cloud
Vagrant Cloud pairs with Vagrant to enable access, insight and collaboration across teams, as well as to bring exposure to community contributions and development environments.
Studio 3T
It's the only MongoDB tool that provides three ways to explore data alongside powerful features like query autocompletion, polyglot code generation, a stage-by-stage aggregation query builder, import and export, SQL query support and more.
Google Colaboratory
It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
OpenVZ
Virtuozzo leverages OpenVZ as its core of a virtualization solution offered by Virtuozzo company. Virtuozzo is optimized for hosters and offers hypervisor (VMs in addition to containers), distributed cloud storage, dedicated support, management tools, and easy installation.
