Software Alternatives, Accelerators & Startups

Jupyter VS Stonebranch

Compare Jupyter VS Stonebranch and see what are their differences

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Stonebranch logo Stonebranch

Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Stonebranch Landing Page
    Landing Page //
    2024-01-22
  • Stonebranch Drag-and-Drop Workflow
    Drag-and-Drop Workflow //
    2024-01-22
  • Stonebranch Integrated Dashboard
    Integrated Dashboard //
    2024-01-22

No matter the degree of automation, the Stonebranch platform is simple, modern, and secure. Using the Stonebranch Universal Automation Center, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Atlanta, Georgia, with points of contact and support across the globe Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions. Learn more: www.stonebranch.com

Jupyter features and specs

No features have been listed yet.

Stonebranch features and specs

  • Workload Automation: Job scheduling and Workload Automation capabilities that support on-prem, cloud and containerized microservices in a hybrid IT enviornment.
  • Data Pipeline Orchestration: Simplify the management of your data pipeline with a centralized orchestration solution built to keep data moving—so that insights are delivered to the business without error.
  • Cloud Automation: Centralize the management of automated workloads across private cloud, public cloud, and multi-cloud environment.
  • Managed File Transfer: Move data between any type of cloud, on-prem or containerized system.
  • DevOps and DataOps Enabled: Support dev, test, prod processes within the platorm, or by connecting to third party repositories like GitHub.
  • SaaS: Deployment options include both SaaS and on-premises.

Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Stonebranch videos

Stonebranch's Service Orchestration and Automation Platform (SOAP)

More videos:

  • Review - About the Stonebranch Universal Automation Center Platform

Category Popularity

0-100% (relative to Jupyter and Stonebranch)
Data Science And Machine Learning
IT Automation
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Workflow Automation
0 0%
100% 100

User comments

Share your experience with using Jupyter and Stonebranch. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Jupyter and Stonebranch

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Stonebranch Reviews

Top 10 Control-M Alternatives in ’23
However, choosing a workload automation solution that fits your business goals and objectives in a complex market landscape can be challenging. For instance, Control-M is one of the WLA market leaders along with ActiveBatch, Redwood RunMyJobs, Stonebranch Universal Automation Center (UAC) and JAMS WLA according to AIMultiple’s analysis based on 7 different data sources.
9 Control-M Alternatives & Competitors In 2023
Stonebranch helps organizations of any size scale and complexity scale up or down as needed. In addition to providing scalable IT automation, Stonebranch simplifies complex IT environments with its platform-agnostic, cloud-based architecture. Customers can benefit from a smoother transition to the cloud without sacrificing security, flexibility, or data security. Regardless...
The Top 5 BMC Control-M API Alternatives
With Stonebranch, organizations can centrally manage and automate complex business processes across on-premises, cloud, and hybrid environments. UAC is designed to simplify IT automation and make it more accessible to business users while still providing advanced features for IT operations teams.
Source: www.redwood.com

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 206 times since March 2021. 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.

Jupyter mentions (206)

  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 7 days ago
  • scrape-yahoo-finance
    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 / 28 days ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month ago
  • Scrape Redfin Property Data
    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 / about 1 month ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    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 / 3 months ago
View more

Stonebranch mentions (0)

We have not tracked any mentions of Stonebranch yet. Tracking of Stonebranch recommendations started around Mar 2021.

What are some alternatives?

When comparing Jupyter and Stonebranch, you can also consider the following products

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.

ActiveBatch - Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

GoAnywhere MFT - GoAnywhere is a managed file transfer (MFT) solution that secures and automates the exchange of data. GoAnywhere's interface and workflow features eliminate the need for custom programs, scripts, single-function tools or other manual methods.