Software Alternatives, Accelerators & Startups

OpenFOAM VS data.world

Compare OpenFOAM VS data.world and see what are their differences

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OpenFOAM logo OpenFOAM

OpenFOAMยฎ - Official home of The Open Source Computational Fluid Dynamics (CFD) Toolbox.

data.world logo data.world

The social network for data people
  • OpenFOAM Landing page
    Landing page //
    2021-08-02
  • data.world Landing page
    Landing page //
    2023-09-26

data.world

Website
data.world
$ Details
-
Release Date
2015 January
Startup details
Country
United States
State
Texas
City
Austin
Founder(s)
Brett Hurt
Employees
50 - 99

OpenFOAM features and specs

  • Open Source
    OpenFOAM is free to use and its source code is openly available under the GPL license, allowing for extensive customization and transparency in computational fluid dynamics (CFD) simulations.
  • Extensibility
    Users can extend and modify the functionality of OpenFOAM to suit specific needs or integrate new algorithms, making it highly adaptable to various projects and research requirements.
  • Community and Support
    A robust community of users and developers contributes to forums, documentation, and collaboration, providing substantial peer support and shared knowledge.
  • Versatility
    OpenFOAM supports a wide range of physical models and simulation types, from simple incompressible flow to complex multiphase flows and chemical reactions, making it suitable for diverse applications.
  • Parallel Computing
    Optimized for parallel processing, OpenFOAM can run efficiently on high-performance computing systems, thereby handling large-scale simulations effectively.

Possible disadvantages of OpenFOAM

  • Steep Learning Curve
    OpenFOAM requires a significant investment of time to learn and master, as it involves understanding complex physics, programming concepts, and software-specific syntaxes.
  • Limited GUI
    Unlike some commercial CFD software, OpenFOAM lacks a sophisticated graphical user interface (GUI), necessitating users to rely on command-line input and scripting for setup and execution of simulations.
  • Documentation Quality
    Although community-driven, the documentation can sometimes be incomplete or outdated, making it challenging for new users to find reliable and up-to-date instructions and tutorials.
  • Performance Variation
    Performance and stability can vary depending on the specific simulation setup and hardware used, which may require users to conduct extensive testing and optimization.
  • Dependency Management
    Installing and maintaining OpenFOAM and its dependencies can be complex, often requiring specific versions of libraries and compilers to ensure compatibility and optimal performance.

data.world features and specs

  • Collaborative Environment
    data.world provides a platform for teams to collaborate on data projects in real-time, making it easier for data scientists, analysts, and enthusiasts to work together and share insights.
  • Integration Capabilities
    The platform supports integrations with popular tools and services like Excel, Tableau, and Python, making it easier to import, export, and manipulate data across various applications.
  • Extensive Dataset Catalog
    data.world offers a vast collection of public datasets, empowering users to find and leverage data from a wide range of sources for their projects.
  • Querying Tools
    Users can execute SQL queries directly on the data.world platform, enabling powerful data analysis and transformations within the environment.
  • User-Friendly Interface
    The platform features an intuitive user interface that makes it accessible for users with varying levels of technical expertise.

Possible disadvantages of data.world

  • Pricing
    While data.world offers a free tier, more advanced features and functionality require a paid subscription, which might be cost-prohibitive for individuals or smaller organizations.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with fully utilizing all of the platform's features, particularly for users who are not familiar with SQL or data analysis tools.
  • Performance Limitations
    For very large datasets or complex analytical operations, the platform may experience performance constraints, potentially requiring users to rely on more powerful, external data processing tools.
  • Data Privacy Concerns
    As with any cloud-based platform, there are inherent data privacy and security concerns. Users must be cautious about the sensitivity of the data they upload and ensure compliance with relevant regulations.
  • Feature Parity with Competitors
    While data.world offers many great features, some users might find that other data collaboration platforms provide more advanced or specialized tools that better suit their needs.

Analysis of OpenFOAM

Overall verdict

  • OpenFOAM is a powerful and versatile tool for CFD that is well-regarded in both academia and industry. Its open-source nature and comprehensive feature set make it a valuable resource for those needing customizability and advanced simulation capabilities.

Why this product is good

  • OpenFOAM is a popular open-source Computational Fluid Dynamics (CFD) tool that provides a wide range of features for simulating complex fluid flows.
  • It offers a flexible and extensible platform, allowing users to customize solvers and utilities to fit specific simulation needs.
  • The extensive library of pre-built solvers and utilities is suitable for various applications, from automotive to aerospace engineering.
  • Being open-source, it encourages collaboration and sharing of improvements, making it highly adaptable and continuously evolving.
  • Comprehensive documentation and a large user community contribute to reliable support and knowledge exchange.

Recommended for

  • Engineers and researchers in academia who require a robust CFD tool with customization capabilities.
  • Industry professionals involved in research and development who need flexible and cost-effective CFD solutions.
  • Advanced users with programming skills who want to leverage and extend its capabilities for specific project needs.

Analysis of data.world

Overall verdict

  • Overall, data.world is regarded as a beneficial platform for data enthusiasts, professionals, and organizations looking to collaborate on data projects. Its user-friendly interface, strong community focus, and extensive features make it a valuable resource for those working with data.

Why this product is good

  • data.world is considered a good platform for a variety of reasons. It acts as a collaborative data community where users can discover and share open data. The platform provides tools for collaborative data projects, making it easier for users to work together on data analysis and insights. It also supports a wide range of data formats and offers integrations with other tools and platforms, enhancing its versatility. Additionally, data.world emphasizes openness and transparency, which can foster trust among users who are seeking reliable data sources.

Recommended for

  • Data analysts and scientists who need a collaborative environment to work on data projects.
  • Organizations looking to share and manage their data with a broader community.
  • Educators and researchers seeking open data sets for teaching or scholarly purposes.
  • Business professionals who require integration with other data tools for enhanced data insights.

OpenFOAM videos

What is OpenFoam? | Skill-Lync

More videos:

  • Tutorial - How to run your first simulation in OpenFOAMยฎ - Part 1 - tutorial
  • Tutorial - CFD tutorial for beginners | What is OpenFOAM? | SKILL-LYNC

data.world videos

No data.world videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to OpenFOAM and data.world)
Numerical Computation
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Technical Computing
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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Social recommendations and mentions

data.world might be a bit more popular than OpenFOAM. We know about 24 links to it since March 2021 and only 19 links to OpenFOAM. 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.

OpenFOAM mentions (19)

  • OpenFOAM on Debian 12
    In openfoam.org, there is not compiled binaries for Debian (any version). So one should install it using docker (I prefer to do not use it) or by compiling the code from the source. I consider compiling from source, but I do prefer binaries. Source: about 2 years ago
  • Please help me get running OpenFOAM
    Hello I am a mechanical engineering student in my last year. So I made the wisest decision to learn OpenFOAM. But there is the catch. I have no idea how to use Linux or how to emulate Linux on Windows 10. I found a lot of videos on Youtube how to download an start OpenFOAM but every one of them was using different methods each time so I got confused. Can anyone please help or direct me? Thank you for your answers... Source: over 2 years ago
  • Step by Step (Written not Video) Tutorial for FEM with Air
    As far as air flow simulation, I got slightly farther with Open Foam than I did in FreeCAD directly. Still, I got in way over my skill level and stopped before getting anything useful. Source: over 2 years ago
  • Open source FEA tools instead of ANSYS Workbench and APDL
    There are two versions of openfoam, one closed source (which is the one I linked to in my original comment, my apologies about that) and the open source version. But what you're describing makes it sound like fenics might be your best option. Source: over 2 years ago
  • command not found and looping
    I suggest you install per the instructions at openfoam.com or openfoam.org instead of using apt. Source: over 2 years ago
View more

data.world mentions (24)

  • Is data at every company still an absolute mess?
    I'll be sure to check out data.world propose to use it if it makes sense, thanks. Source: over 2 years ago
  • GIS data for a project. I apologize for the banality of my request and for my English.
    Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters. Source: over 2 years ago
  • Best way to open source a my dataset?
    But, I'm also aware that there are dedicated platforms to catalog and share data (e.g. https://www.dolthub.com/, https://data.world/), and that uploading data on Github, in general, doesn't seem best practise. Source: over 2 years ago
  • Alation vs. Atlan vs. Collibra
    The client is considering the 3 I mentioned, plus data.world. I need to research that one next. Microsoft Purview has already been considered. Source: over 2 years ago
  • Looking for christmas cost dataset by year and country.
    Im looking for Christmas cost dataset by year and country, Im looking in the data.world and other web pages and I cant found anything. Source: almost 3 years ago
View more

What are some alternatives?

When comparing OpenFOAM and data.world, you can also consider the following products

ANSYS Fluent - ANSYS engineering simulation and 3D design software delivers product modeling solutions with unmatched scalability and a comprehensive multiphysics foundation.

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift โ€“ fully integrated, open, containerized and secure solutions certified by IBM.

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processingโ€”and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

K2View Fabric - K2View Fabric provides a data-centric approach to data management that delivers access to key data in real-time through patented mico-databases.