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  4. Security
  5. baikal vs OpenSSL

baikal vs OpenSSL

OverviewComparisonAlternatives

Overview

OpenSSL
OpenSSL
Stacks13.5K
Followers7.1K
Votes0
baikal
baikal
Stacks4
Followers11
Votes0
GitHub Stars590
Forks30

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CLI (Node.js)
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Detailed Comparison

OpenSSL
OpenSSL
baikal
baikal

It is a robust, commercial-grade, and full-featured toolkit for the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols. It is also a general-purpose cryptography library.

It is a graph-based, functional API for building complex machine learning pipelines of objects that implement the scikit-learn API. It is mostly inspired on the excellent Keras API for Deep Learning, and borrows a few concepts from the TensorFlow framework and the (perhaps lesser known) graphkit package. It aims to provide an API that allows to build complex, non-linear machine learning pipelines.

Robust;Commercial-grade;Transport Layer Security ;General-purpose cryptography library;QUIC;Post-quantum cryptography
Build non-linear pipelines effortlessly; Handle multiple inputs and outputs; Add steps that operate on targets as part of the pipeline; Nest pipelines; Use prediction probabilities (or any other kind of output) as inputs to other steps in the pipeline; Query intermediate outputs, easing debugging; Freeze steps that do not require fitting; Define and add custom steps easily; Plot pipelines
Statistics
GitHub Stars
-
GitHub Stars
590
GitHub Forks
-
GitHub Forks
30
Stacks
13.5K
Stacks
4
Followers
7.1K
Followers
11
Votes
0
Votes
0
Integrations
Linux
Linux
Mac OS X
Mac OS X
Android OS
Android OS
Windows
Windows
Python
Python
scikit-learn
scikit-learn

What are some alternatives to OpenSSL, baikal?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Let's Encrypt

Let's Encrypt

It is a free, automated, and open certificate authority brought to you by the non-profit Internet Security Research Group (ISRG).

Sqreen

Sqreen

Sqreen is a security platform that helps engineering team protect their web applications, API and micro-services in real-time. The solution installs with a simple application library and doesn't require engineering resources to operate. Security anomalies triggered are reported with technical context to help engineers fix the code. Ops team can assess the impact of attacks and monitor suspicious user accounts involved.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Instant 2FA

Instant 2FA

Add a powerful, simple and flexible 2FA verification view to your login flow, without making any DB changes and just 3 API calls.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

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