Software Alternatives, Accelerators & Startups
Register | Login

PyTorch VS Baserow

Compare PyTorch VS Baserow and see what are their differences

PulpMiner
Converts Any Webpage Into Realtime JSON API 🟢 featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...

Baserow logo Baserow

Open source no-code database and Airtable alternative. Create your own online database without technical experience. Performant with high volumes of data, can be self hosted and supports plugins
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • Baserow
    Image date //
    2024-01-24

Baserow is a collaborative open source no-code tool. Our job is to help you connect all your data across your teams and workflows to keep everything in sync and get the job done with a greater speed and security. The platform enables non-technical teams to digitize workflows, automate processes and improve business efficiencies.

Baserow organizes all your data into tables that are easy to create, collaborate on and look through. When there’s one database for all workflows running in your company, everyone knows exactly where to look for what.

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

Baserow features and specs

  • Database
  • Web application
  • Filtering
  • Sorting
  • Search
  • Templates
  • Public REST API
  • API token permissions
  • Import
  • Export
  • Trash
  • Undo/redo
  • Webhooks
  • Public sharing
  • Footer aggregations
  • Row comments
  • Row coloring
  • Real time collaboration
  • Grid view
  • Gallery view
  • Kanban view
  • Form view
  • Rich field types
  • Admin panel
  • Inviting members

Analysis of PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

Analysis of Baserow

Overall verdict

  • Baserow is a good option for users looking for an open-source, easily customizable database solution that provides a wide set of features for team collaboration and data management without needing to write code.

Why this product is good

  • Baserow is a no-code database tool that allows users to create databases and team collaboration without requiring programming knowledge. It is appreciated for its user-friendly interface, scalability, and robust features such as real-time collaboration, flexible data organization, and integration capabilities with other software applications.

Recommended for

  • Small to medium-sized teams looking for a collaborative database solution
  • Individuals and organizations preferring open-source software
  • Users who require customization and flexibility in managing data
  • Those who want integration with other tools and platforms

PyTorch videos

+ Add

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Baserow videos

+ Add

Baserow

Category Popularity

0-100% (relative to PyTorch and Baserow)

PyTorch

Baserow

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Tech
0 0%
Tech
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100

User comments

Share your experience with using PyTorch and Baserow. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare PyTorch and Baserow

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
Source: www.assemblyai.com
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...
Source: searchbusinessanalytics.techtarget.com

Baserow Reviews

12 Best Open-source Database Backend Server and Google Firebase Alternatives
Baserow is a low-code and no-code database application layer with a rich REST-API headless mode for building a data-rich web and mobile apps.It features a multi-project (app) support, dynamic data tables view with a rich control panel which comes with Kanban and Calendar views as well. It supports real-time collaboration and unlimited data row display.Baserow is built on top...
Source: medevel.com

Social recommendations and mentions

PyTorch might be a bit more popular than Baserow. We know about 133 links to it since March 2021 and only 96 links to Baserow. 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.

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 2 months ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

Baserow mentions (96)

  • Why Do Developers Struggle with Low-Code? (6 Tools That Actually Help)
    4. Baserow (An Open-Source Airtable Alternative for Easy Data Management). - Source: dev.to / 4 months ago
  • Open-Source Alternative to Airtable
    I don't know of any OSS low code dbs with access controls, but baserow's paid plans do https://baserow.io/. - Source: Hacker News / about 1 year ago
  • Baserow – Self Hosted Airtable Alternative Launches No-Code Application Builder
    Hey, I'm one of the founders of Baserow. We launched the beta of our application builder last week. It allows you to build database-driven websites, web applications, and portals. It's in the same product as our database module, and will work seamlessly together with it. More information can be found in the release blog post linked to this post, and in this video https://www.youtube.com/watch?v=yjE7gxkPlDs. Even... - Source: Hacker News / over 1 year ago
  • Show HN: Teable – Open-Source No-Code Database Fusion of Postgres and Airtable
    What are the main differences compared to Baserow (https://baserow.io/)? - Source: Hacker News / over 1 year ago
  • Show HN: Teable – Open-Source No-Code Database Fusion of Postgres and Airtable
    Baserow[0] is really good! [0]: https://baserow.io/. - Source: Hacker News / over 1 year ago
View more

What are some alternatives?

When comparing PyTorch and Baserow, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

NocoDB - The Open Source Airtable alternative

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Rows - The spreadsheet where teams work faster

Loading...