Jupyter Notebook vs. Logi Report

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

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JReport is well suited to enterprise-wide deployment such as we deliver in our data warehouse solution JOHO OneSource(TM). It provides for a seamless end-user experience to enterprise-wide corporate data, maintain user-level security regardless of location or device used. Reporting elements are always "business-friendly", reducing confusion for the less sophisticated information consumer. Since JReport is highly scalable, it is hard to imagine a deployment where it would not be well suited. The only case I can think of is possibly one where there are limited or no reporting staff onsite to create report elements.

• Simple and elegant code writing ability. Easier to understand the code that way.
• The ability to see the output after each step.
• The ability to use ton of library functions in Python.
• Easy-user friendly interface.

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• Creates powerful reports and charts
• Highly customizable and can fit multiple needs
• Distributed Architecture offers higher reliability and avoids single point of failure

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• Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
• Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

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• Initially, the product lacked some features but their support team reacted quickly to meet our needs.
• The JReport desktop designer looks a bit dated, however, the Web GUI looks very modern.

Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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I haven't had a need to contact support. However, all required help is out there in public forums.

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With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.

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We have been using Logi Report for many years. We did review Microsoft PowerBI recently and are currently considering if it will meet our needs. We are still evaluating at the moment.

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Independently Invited by TrustRadius

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• Positive impact: flexible implementation on any OS, for many common software languages
• Positive impact: straightforward duplication for adaptation of workflows for other projects
• Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

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Independently Invited by TrustRadius

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• Handy dashboard
• Create reports in various formats
• Would like to see a longer listing of reports per screen on the scheduler in JReport Server/Admin Console as we have a lot of reports we run.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info