Software Alternatives, Accelerators & Startups

BoxyHQ VS PyTorch

Compare BoxyHQ VS PyTorch and see what are their differences

BoxyHQ logo BoxyHQ

B2B SaaS: Make your app enterprise-ready! Authentication - SAML/OIDC SSO, Directory Sync (SCIM 2.0), Audit Logs, Data Privacy Vault, and more!

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • BoxyHQ Website - BoxyHQ
    Website - BoxyHQ //
    2024-04-17
  • BoxyHQ Admin Portal Dashboard - BoxyHQ
    Admin Portal Dashboard - BoxyHQ //
    2024-04-17
  • BoxyHQ Admin Portal Login - BoxyHQ
    Admin Portal Login - BoxyHQ //
    2024-04-17

SaaS, Premium Self-Hosted, or FREE OSS Self-Hosted

  1. Enterprise Single Sign On (SSO) SAML SSO enables a secure authentication via an organization’s Identity Provider (IdP), as opposed to users or IT admins managing thousands, of usernames and passwords. With our product SAML Jackson, enterprise users can access your product via one of their secure IdPs (like Okta, Microsoft Azure, AWS, etc), which manages access and security for the entire organization.

  2. Directory Sync Organizations use directories from different providers to manage users and enforce their access to organization resources. By integrating our Directory Sync product into your solution you can activate and deactivate user accounts, create groups, and keep your app in sync with the user directory in real-time. Supports the SCIM 2.0 protocol.

Additionally, we offer Audit Logs to track critical events in your application and a Data Privacy Vault to safeguard sensitive data.

  • PyTorch Landing page
    Landing page //
    2023-07-15

BoxyHQ

Website
boxyhq.com
$ Details
free $49.0 / Monthly (Per connection)
Platforms
SaaS Premium Self-Hosted FREE OSS Self-Hosted

BoxyHQ videos

SAML Single Sign-On (SSO) login demo

More videos:

  • Tutorial - Unlocking the Power of Open-Source SAML SSO with BoxyHQ's Enterprise Single Sign-On Tutorial
  • Review - BoxyHQ: The Open-Source SSO Solution for Effortless Integrations
  • Review - Securing The Web Ecosystem in 2023 - A Year in Review by BoxyHQ - Newsletter001
  • Review - AMA with Deepak, Maintainer of BoxyHQ!

PyTorch videos

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

Category Popularity

0-100% (relative to BoxyHQ and PyTorch)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Security & Privacy
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing BoxyHQ and PyTorch.

What makes your product unique?

BoxyHQ's answer

BoxyHQ stands out for its comprehensive suite of security building blocks tailored specifically for developers. With features like SAML/OIDC Single Sign-On (SSO) and Directory Sync with SCIM 2.0, BoxyHQ simplifies identity management and access control for B2B SaaS companies. Its focus on providing a seamless and customizable solution empowers developers to enhance security without compromising user experience. Additionally, BoxyHQ offers Audit Logs to track critical events within the product and a Privacy Vault, an API to protect sensitive data.

Why should a person choose your product over its competitors?

BoxyHQ's answer

BoxyHQ stands out for several reasons:

  1. Developer-Obsessed: We prioritize developers, offering a seamless and intuitive platform for integration and customization.
  2. Secure by Design: With security as our foundation, we ensure robust protection for your data and applications at every level.
  3. Budget-Friendly: We believe in accessibility, offering competitive pricing options starting at $0.00 to suit various budgets.
  4. Transparency and Customizability: Our open-source approach provides full visibility into our codebase and allows for tailored solutions to meet specific needs.
  5. Community-Powered Innovation: Our vibrant community of users and contributors actively helps us build the best-in-class solution, fostering innovation and collaboration every step of the way.

How would you describe your primary audience?

BoxyHQ's answer

BoxyHQ's primary audience encompasses:

  1. Developers crafting innovative solutions seeking enterprise-ready software products.
  2. B2B SaaS companies striving for compliance to meet corporate and industry regulatory standards.
  3. Large enterprises navigating the integration complexities between their Identity Providers (IdPs) and ensuring their applications adhere to rigorous security and infosec standards.

What's the story behind your product?

BoxyHQ's answer

The inception of BoxyHQ is deeply linked with Deepak's journey as the former CTO of a cybersecurity scaleup. In his role, Deepak wrestled with the challenge of allocating resources to enterprise compliance features that diverged from their core value proposition. Alongside Sama, they witnessed the escalating tide of cyber crimes, compounded by the concerning statistic that around 70% of development teams often bypass essential security measures due to time constraints. Motivated by this shared purpose of bringing security earlier in the developer live cycle, they embarked on a mission to address these challenges head-on. BoxyHQ emerged as a solution designed to automate product security and provide low-code APIs for seamless integration, empowering developers to implement enterprise-compliant security measures effortlessly. Through BoxyHQ, Deepak and the team strive to alleviate the burden on development teams while fortifying organizations against the escalating threats posed by cyber crimes.

Who are some of the biggest customers of your product?

BoxyHQ's answer

We value the confidentiality of our large enterprise clients due to NDA agreements. However, some of our notable customers include Cal.com, Dub, Supademo, Spike, among many others.

Which are the primary technologies used for building your product?

BoxyHQ's answer

BoxyHQ uses the following technologies: - Next.js - PostgreSQL - Docker - Kubernetes

User comments

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Reviews

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

BoxyHQ Reviews

We have no reviews of BoxyHQ yet.
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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...
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...

Social recommendations and mentions

Based on our record, PyTorch seems to be more popular. It has been mentiond 111 times since March 2021. 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.

BoxyHQ mentions (0)

We have not tracked any mentions of BoxyHQ yet. Tracking of BoxyHQ recommendations started around Mar 2023.

PyTorch mentions (111)

  • Mathematics secret behind AI on Digit Recognition
    Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 1 day ago
  • Awesome List
    PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 8 days ago
  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / 16 days ago
  • Building a Simple Chatbot using GPT model - part 2
    PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / 25 days ago
  • Clusters Are Cattle Until You Deploy Ingress
    Oddly enough, sometimes, the best way to learn is by putting forth incorrect opinions or questions. Recently, while wrestling with AI project complexities, I pondered aloud whether all Docker images with AI models would inevitably be bulky due to PyTorch dependencies. To my surprise, this sparked many helpful responses, offering insights into optimizing image sizes. Being willing to be wrong opens up avenues for... - Source: dev.to / 18 days ago
View more

What are some alternatives?

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

Skyflow - Skyflow’s data privacy vaults deliver security, compliance and governance via a simple API

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.

Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.

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

Frontegg - Elegant user management, tailor-made for B2B SaaS

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