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Apache OFBiz VS Shiny

Compare Apache OFBiz VS Shiny and see what are their differences

Apache OFBiz logo Apache OFBiz

Apache OFBiz is a set of applications designed for businesses.

Shiny logo Shiny

Shiny is an R package that makes it easy to build interactive web apps straight from R.
  • Apache OFBiz Landing page
    Landing page //
    2023-09-18
  • Shiny Landing page
    Landing page //
    2023-06-30

Apache OFBiz features and specs

  • Open Source
    Apache OFBiz is an open-source ERP solution, which means it's free to use and can be customized to fit specific business needs without licensing costs.
  • Comprehensive Suite
    It offers a wide range of business applications, including CRM, eCommerce, Supply Chain Management, Manufacturing, and more, all integrated into a single framework.
  • Modular Architecture
    Its modular design allows businesses to implement only the components they need, making it flexible and adaptable to various business scenarios.
  • Customizability
    With its rich set of functionalities and open-source nature, OFBiz can be deeply customized and extended to meet unique business requirements.
  • Community Support
    Being part of the Apache foundation, OFBiz benefits from a large community of developers and users that provide support, share knowledge, and contribute to its continuous improvement.
  • Scalability
    OFBiz is designed to handle growing business needs, supporting scalability both in terms of users and transaction volume.

Possible disadvantages of Apache OFBiz

  • Complexity
    Due to its comprehensive feature set and modularity, OFBiz can be complex to set up and configure, requiring significant resource investment for implementation and maintenance.
  • Steep Learning Curve
    New users and developers may find the learning curve steep, as it requires in-depth knowledge to effectively use and customize the platform.
  • Documentation
    While there is a good amount of documentation available, some of it can be outdated or incomplete, posing challenges during implementation.
  • Performance
    Depending on the configuration and the specific use case, some users have reported performance issues, requiring optimizations and tuning for better efficiency.
  • Limited Out-of-the-box Features
    Although OFBiz is highly customizable, it may not offer as many polished, out-of-the-box features compared to some commercial ERP solutions, necessitating more initial customization.
  • Technical Resources
    Implementing and maintaining OFBiz often demand substantial technical resources, including skilled developers and IT personnel, which may be a hurdle for smaller businesses.

Shiny features and specs

  • Interactive Web Applications
    Shiny allows for the creation of interactive web applications directly from R, facilitating dynamic data visualization and user engagement without requiring extensive web development knowledge.
  • Ease of Use
    Shiny provides a high-level interface that allows users to create complex applications with minimal code, leveraging R's capabilities and intuitive declarative syntax.
  • Integration with R
    As a product of Posit (formerly RStudio), Shiny seamlessly integrates with the R ecosystem, enabling users to incorporate statistical analysis and machine learning models into their web applications.
  • Customizable UI
    Shiny offers a range of UI components and the ability to integrate custom HTML, CSS, and JavaScript, allowing for highly customized and polished web applications.
  • Reactive Programming
    Shiny’s reactive programming model simplifies the process of building interactive applications by automatically updating output whenever input changes, reducing the need for manual event handling.
  • Community Support
    Shiny has a large and active community, offering plentiful resources such as tutorials, examples, and forums for troubleshooting and learning.

Possible disadvantages of Shiny

  • Performance
    Shiny applications may suffer from performance issues, especially with large datasets or complex operations, as R is single-threaded by nature and may not handle high concurrency well.
  • Scalability
    Scaling Shiny applications to handle large numbers of users can be challenging and may require additional infrastructure, such as Docker containers or server clusters, and careful resource management.
  • Limited Language Support
    Shiny primarily supports R, which may be a limitation for teams or projects that rely on other languages for data analysis or web development.
  • Learning Curve
    Despite its user-friendly design, there is still a learning curve for users new to R or web development concepts, particularly when dealing with more advanced features or customizations.
  • Dependency Management
    Managing dependencies and ensuring version compatibility can become complex, particularly as applications grow in size and sophistication.
  • Deployment Complexity
    Deploying Shiny applications for production use can be complex, requiring knowledge of server environments, containerization, and continuous integration/continuous deployment (CI/CD) practices.

Apache OFBiz videos

No Apache OFBiz videos yet. You could help us improve this page by suggesting one.

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Shiny videos

SHINY - PS4 REVIEW

More videos:

  • Review - My Opinion on EVERY Shiny Pokémon [Generation 1 to 7]
  • Review - Review: Shiny (PlayStation 4) - Defunct Games
  • Tutorial - R Shiny Overview & Tutorial

Category Popularity

0-100% (relative to Apache OFBiz and Shiny)
Developer Tools
38 38%
62% 62
Web Frameworks
38 38%
62% 62
Python Web Framework
37 37%
63% 63
Accounting & Finance
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 Apache OFBiz and Shiny

Apache OFBiz Reviews

Top 10 Best Open Source Accounting Software Comparison 2024
OFBiz is the free ERP open source accounting solution from Apache. It is a cross-platform operating system, and it runs as a Java-based web framework. The ERP feature list of Apache OFBiz is quite extensive. It can be used for basic accounting for general bookkeeping and income and expense management.
Source: crm.org
11 Best Open Source ERP Solution for Small & Medium Enterprises
Apache OFBiz comes in a basic structure so that the organizations can customize it according to their needs. The capacity of adaptation makes it suitable for all sized enterprises who have the ability to integrate the system into their businesses. OFBiz is an advanced open source ERP system to perform with the different parts of an organization.
Source: wperp.com

Shiny Reviews

We have no reviews of Shiny yet.
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Social recommendations and mentions

Based on our record, Shiny seems to be a lot more popular than Apache OFBiz. While we know about 34 links to Shiny, we've tracked only 3 mentions of Apache OFBiz. 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.

Apache OFBiz mentions (3)

  • Akaunting is free, open-source online accounting software for small businesses
    Ofbiz is open source with the Apache license. https://ofbiz.apache.org. - Source: Hacker News / about 1 year ago
  • Please help a sister out with the inventory process and cash flow of our retail store which also provides services
    Even better, kung meron ka basic knowledge sa programming or devops, you can use open source systems like Apache Ofbiz or opensourcepos tapos aralin na lang. Most time consuming but would probably fit your needs (if may background ka sa IT) since willing ka naman matuto. Source: almost 2 years ago
  • Best OSS ERP system for headless ecom platform?
    Consider https://ofbiz.apache.org . This has a permissive license ; easy to customise and deploy. UI is not as slick though. Source: over 3 years ago

Shiny mentions (34)

  • Big Book of R
    There is a lot of way and the most common is shiny (https://shiny.posit.co/) but with a biais towards data app. Not having a Django-like or others web stack python may have talks more about the users of R than the language per se. Its background was to replace S which was a proprietary statistics language not to enter competition with Perl used in CGI and early web. R is very powerful and is Lisp in disguise... - Source: Hacker News / 28 days ago
  • React for R
    In R, you can build Single Page Applications with Shiny, created by Posit https://shiny.posit.co/ It is very useful, if you don't know HTML,JS,CSS and want to create an interactive dashboard, showcasing your analysis, models, visualizations, or even to create an internal tool for your organization. It seems that reactR provides functions for building react components directly from R that can be used in Shiny apps. - Source: Hacker News / 8 months ago
  • R: Introduction to Data Science
    A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / about 1 year ago
  • Reflex – Web apps in pure Python
    Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / almost 2 years ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: almost 2 years ago
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