Software Alternatives, Accelerators & Startups

Microsoft Dynamics VS Jupyter

Compare Microsoft Dynamics VS Jupyter and see what are their differences

Microsoft Dynamics logo Microsoft Dynamics

Unify CRM and ERP capabilities and break down data silos with Dynamics 365—modern, intelligent cloud applications that help move your business forward.

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.
  • Microsoft Dynamics Landing page
    Landing page //
    2021-10-19
  • Jupyter Landing page
    Landing page //
    2023-06-22

Microsoft Dynamics videos

Microsoft Dynamics 365 : 🤓 all you need to know

More videos:

  • Review - Salesforce vs. Microsoft Dynamics: CRM Comparision
  • Review - Microsoft Dynamics 365 vs. NetSuite: An Unbiased Comparison

Jupyter videos

What is Jupyter Notebook?

More videos:

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

Category Popularity

0-100% (relative to Microsoft Dynamics and Jupyter)
ERP
100 100%
0% 0
Data Science And Machine Learning
CRM
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Microsoft Dynamics and Jupyter. 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 Microsoft Dynamics and Jupyter

Microsoft Dynamics Reviews

17 Best ERP Software To Monitor Business Vitals In 2024
If you're looking for ERP software that prioritizes integrations, my top recommendation is Microsoft Dynamics 365 Business Central. Whether you need pre-built integrations, native connections to other Microsoft products, or an open API that allows for custom integrations, this ERP tool has it all.
Source: thecfoclub.com
Top 9 Odoo Alternatives
The best Odoo alternatives include Acumatica, ERPNext, Oracle NetSuite, and Microsoft Dynamics 365. We’ve reviewed some of the best ERP software to help you find alternatives that will allow you to drop Odoo and continue to streamline your operations, improve customer service, and ultimately boost your bottom line.
Best ERP Software 2022: Top Rated ERP Systems Comparison
Price: Microsoft Dynamics 365 offers the solution to various business areas and the pricing will change accordingly, Marketing (it starts at $750 per tenant per month), Sales (it starts at $20 per user per month), Customer Service (it starts at $20 per user per month), Finance (it starts at $30 per user per month), etc.
10 Best ERP Software Of 2021 (+ Free ERP Options)
Common ERP software doesn’t necessarily mean “the best”, instead it is usually promoted by big-name tech businesses that are reliable in their field. Some popular ERP tools that you may have heard of are Netsuite, Microsoft Dynamics 365, Oracle ERP Cloud, Sage X3, and/or Epicor ERP.
8 Best CRM for eCommerce Business in 2019
Another industry leader on the list, although relatively pricier than the others, its users do swear by it. It is better suited to medium and large enterprises. With Microsoft Dynamics, you have a uniform view across your CRM if your business is already using the Microsoft Office apps like Outlook, SharePoint, OneNote and more. It has to be adapted to the needs of your...

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.

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.

Microsoft Dynamics mentions (0)

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

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 / 20 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 / about 1 month ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / about 2 months 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 2 months 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
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What are some alternatives?

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

SAP ERP - SAP ERP is enterprise resource planning software developed by the German company SAP SE.

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

Sage Intacct - Intacct is a cloud-based accounting and financial management system that is designed for the businesses of all levels.

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.

Oracle NetSuite - NetSuite is the leading integrated cloud business software suite, including business accounting, ERP, CRM and ecommerce software.

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