Software Alternatives & Reviews

Jupyter VS Microsoft Power BI

Compare Jupyter VS Microsoft Power BI and see what are their differences

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 Power BI

BI visualization and reporting for desktop, web or mobile
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Microsoft Power BI Landing page
    Landing page //
    2023-06-14

Jupyter

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Data Science Notebooks
  • Data Science IDE
  • Data Analysis
Website jupyter.org  

Microsoft Power BI

Categories
  • Data Visualization
  • Analytics Dashboard
  • Data Dashboard
  • Business Intelligence
  • Analytics
Website powerbi.microsoft.com  

Jupyter videos

What is Jupyter Notebook?

More videos:

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

Microsoft Power BI videos

No Microsoft Power BI videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Jupyter and Microsoft Power BI)
Data Science And Machine Learning
Data Dashboard
30 30%
70% 70
Data Visualization
0 0%
100% 100
Database Tools
100 100%
0% 0

User comments

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Reviews

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

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.

Microsoft Power BI Reviews

Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Users can also sign up for Power BI and Power BI Desktop for free to receive data, insights, and visual analytics. However, the premium versions offer more advanced features like AI, data management, and greater capacity and users.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
PowerBI is one of the leading BI solutions in the market. It’s a highly scalable BI tool owned by the Microsoft team. It can be cloud-hosted or downloaded on-premise. It’s self-service and fosters enterprise-level answers to ad hoc queries. Trevor.io, Metabase and Looker can also work as Power BI alternatives.
Source: trevor.io
Top 10 Data Analysis Tools in 2022
Power BI Power BI is owned by Microsoft and, as such, has excellent compatibility with Microsoft Excel, which is a highly popular tool for data analysis. Power BI Premium costs $27.5 per month for each user. Power BI is a powerful tool produced by Microsoft and has proven itself as a powerful data analysis tool. However, its best features are seen within the Microsoft...
Best Google Data Studio Alternatives (Self-Service BI)
For personal use, Power BI can be downloaded on your local machine for free. However, if you want to use more Power BI services, you will need to pay $9.99/user/month for a cloud solution or $4,995/month for a dedicated server (cloud compute and storage resource)

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Microsoft Power BI. While we know about 200 links to Jupyter, we've tracked only 17 mentions of Microsoft Power BI. 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 (200)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    They make it easy to launch multiple case-by-case data science projects and run your local code right from Jupyter Notebook. - Source: dev.to / 18 days ago
  • MLOps in practice: building and deploying a machine learning app
    Talking to some colleagues and friends lately gathering some ideas of a nice Machine Learning project to build, I’ve seen that there’s a gap of knowledge in terms of how do one exactly uses a Machine Learning model trained? Just imagine yourself building a model to solve some problem, you are probably using Jupyter Notebook to perform some data clean up, perform some normalization and further tests. Then you... - Source: dev.to / about 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    This year I decided to commit to a set of tools on day 1 (Polars and Jupyter) and use them for the whole challenge. It seemed silly to do a whole new meandering walkthrough, so instead I'll highlight a few things that stuck out after finishing the challenge and sitting on it for a few days. Here we go! - Source: dev.to / 2 months ago
  • Technical reports generation with Raku
    The resulting technical reports can be in the formats: Markdown, Pod6, or Org-mode. Or just Jupyter notebooks. Source: 4 months ago
  • No comments. Now what?
    Another effective way to use comments is through literate programming. In this programming style, comments take the spotlight: the source code contains more prose than executable code. This is useful when explaining the algorithm is more important than reading it, as in academic research and data analysis. Not surprisingly, it is the paradigm of popular tools like Jupyter Notebook and Quarto. - Source: dev.to / 5 months ago
View more

Microsoft Power BI mentions (17)

  • Unified Analytics Platform: Microsoft Fabric
    Microsoft Fabric is currently in preview and provides data integration, engineering, data warehousing, data science, real-time analytics, applied observability, and business intelligence under a single architecture by integrating services such as Azure Data Factory, Azure Synapse Analytics, Data Activator, and Power BI. In addition, it comes with a SaaS, multi-cloud data lake called "OneLake" that is built-in and... Source: 9 months ago
  • NSS Data Analytics Program Question
    I'd suggest spending some time learning the material before you invest thousands in tuition only to find that you don't like it or aren't good at it. Download Tableau Public or Power BI and force yourself to use them for a few months. That's how I taught myself R. Source: 11 months ago
  • Why Is Data Analytics Important?
    Discover why business analytics is crucial for your business and how to utilise data analytics and PowerBI to make informed and data-backed decisions! Source: 11 months ago
  • Cloud dB reporting tool?
    Power BI is popular... But for table reports with Excel/PDF export you can use Pebble Reports. Source: 12 months ago
  • Asking for guidance on migrating to a database from Excel
    Yes, MySQL can do the job. You can use Airforms to do data entry. No need to learn MySQL syntax. You will also need a reporting tool, such as Power BI. Source: about 1 year ago
View more

What are some alternatives?

When comparing Jupyter and Microsoft Power BI, 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.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

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

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)