Software Alternatives, Accelerators & Startups

Unimus VS TensorFlow

Compare Unimus VS TensorFlow and see what are their differences

Unimus logo Unimus

Unimus is a Network Automation and Configuration management (NCM) solution designed for fast deployment network-wide and ease of use. Unimus does not require learning any abstraction or templating languages, and does not require any coding skills.
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TensorFlow logo 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.
  • Unimus Landing page
    Landing page //
    2021-03-31
  • Unimus
    Image date //
    2024-05-15
  • Unimus
    Image date //
    2024-05-15

Unimus is a multi-vendor NCM software that covers these four main areas:

  1. Network Automation - Deploy configuration network-wide with just a few clicks with the Mass Config Push / Pull features available in Unimus.

  2. Disaster Recovery - Automatic, continuous configuration backup with notifications on failure. Your network will be prepared for any unforeseen circumstances.

  3. Change Management - Easy change management with graphical diffs in only a few clicks. Unimus makes change-tracking and change-auditing an easy task.

  4. Configuration Auditing - Gain visibility into your network. Search your entire networks configuration in seconds to know what is configured how and where.

  • TensorFlow Landing page
    Landing page //
    2023-06-19

Unimus features and specs

  • Network Automation: Mass Config Push / Pull
  • Configuration Backup: Network disaster recovery
  • Change management: Configuration change detection, notifications and change review / auditing
  • Configuration Auditing: Network-wide configuration search for easy compliance validation

TensorFlow features and specs

No features have been listed yet.

Unimus videos

New NMS Sync Logic in Unimus 2.4.0

More videos:

  • Review - Unimus 2.4 release overview
  • Review - Unimus in 2 min
  • Review - Unimus 2.0.0 release overview

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Unimus and TensorFlow)
Network Automation
100 100%
0% 0
Data Science And Machine Learning
Configuration Auditing
100 100%
0% 0
AI
0 0%
100% 100

Questions and Answers

As answered by people managing Unimus and TensorFlow.

What makes your product unique?

Unimus's answer

Unimus is an on-premise, multi-tenant, device agnostic NCM software that brings value and saves time. Disaster recovery and Change management together with Configuration auditing and Network Automation features, make Unimus a very robust network configuration management system.

What's the story behind your product?

Unimus's answer

Unimus came to this world in 2016. Our goal was to create a simple, user friendly, but powerful Network Automation and Network Config Management solution. Unimus now manages more than a million network devices across thousands of deployments around the world.

Our mission has since expanded to bring other new tools which are missing in the Networking industry to the market. We want to create software that will make life easier for net-admins around the world.

User comments

Share your experience with using Unimus and TensorFlow. For example, how are they different and which one is better?
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Reviews

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

Unimus Reviews

We have no reviews of Unimus yet.
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TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Based on our record, Unimus should be more popular than TensorFlow. It has been mentiond 19 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.

Unimus mentions (19)

  • Mixed Platform for Switches and Wireless Access Points
    I recently found out about unimus. It really works well to push configs and gather configs - you can see the changes for each config pull even across different devices. It runs as .exe or on a vm Check it out! Not even expensive - 1device 4,5€ a year or 7500€ a year unlimited. Source: about 1 year ago
  • Cisco Configuration Change Monitoring for Network Team
    Unimus would handle this nicely for you. It will build a versioned configuration history for your devices, and you can then see changepoints - when something changed, and what changed (including nice graphical diffs). Source: about 1 year ago
  • Track Changes on Switches/Routers/Firewalls
    Take a look at Unimus. It will generate a configuration timeline for your devices, you can generate diffs, and it will send config change notifications (including full graphical diffs in the change notification emails / Slack notifications). Also many other useful config management features in there. Source: about 1 year ago
  • Version control for configs yes or no?
    I forgot also Unimus. They are amazing 🤩. https://unimus.net. Source: about 1 year ago
  • What is the best way to make all cisco configs match?
    If you have zero netops experience (eg ansible) this will work: https://unimus.net/. Source: about 1 year ago
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TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing Unimus and TensorFlow, you can also consider the following products

Oxidized - configuration backup software (IOS, JunOS) - silly attempt at rancid

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

RANCID - RANCID - Really Awesome New Cisco confIg Differ.

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

GenieACS - A fast and lightweight TR-069 Auto Configuration Server (ACS)

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