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Juro VS TensorFlow

Compare Juro VS TensorFlow and see what are their differences

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Juro logo Juro

Juro is a contract automation platform that enables your team to create, execute and monitor routine contracts at scale without ever leaving the browser.

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.
  • Juro Landing page
    Landing page //
    2023-08-26

Juro is a contract automation platform that empowers your team to create, execute and monitor routine contracts at scale without ever leaving the browser. We work with rapidly-scaling businesses like Deliveroo, Babylon Health and SecretEscapes to streamline contract workflow and gain better insight into contract data. Juro is backed by Union Square Ventures, Point Nine Capital, Seedcamp and founders of TransferWise, Gumtree and Indeed.

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

Juro

Website
juro.com
Pricing URL
Official Juro Pricing
$ Details
freemium $450.0 / Monthly (Includes 500 contracts and minimum 5 users)
Platforms
Chrome OS Windows iOS Android
Release Date
2016 December
Edit details

TensorFlow

Website
tensorflow.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Juro features and specs

  • User-friendly Interface
    Juro offers a highly intuitive and easy-to-navigate interface, making it simple for users to manage contracts without extensive training.
  • Automated Workflows
    Juro's automated workflows streamline the contract lifecycle, reducing manual tasks and minimizing errors, leading to faster contract processing times.
  • Real-time Collaboration
    The platform supports real-time collaboration, allowing multiple stakeholders to work on and review contracts simultaneously, improving efficiency and communication.
  • Integrations
    Juro integrates seamlessly with various third-party applications like Salesforce, HubSpot, and Slack, enhancing its functionality and providing a unified work environment.
  • Customizable Templates
    Users can create and save customizable contract templates, ensuring consistency and compliance while saving time on drafting repetitive documents.
  • Secure Storage
    Contracts are stored securely in Juro, with encryption and other security measures in place to protect sensitive information.

Possible disadvantages of Juro

  • Limited Customization
    While Juro offers customizable templates, some users may find the level of customization for workflows and user interfaces limited compared to other platforms.
  • Pricing
    The pricing model of Juro might be on the higher side for small businesses or startups, making it less accessible for organizations with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, some users may still experience a learning curve, especially if they are migrating from another contract management system.
  • Feature Limitations
    Certain advanced features, such as complex reporting and analytics, might not be as robust as those offered by other high-end contract management solutions.
  • Dependence on Internet
    Since Juro is a cloud-based solution, users are dependent on a stable internet connection to access and manage contracts, which can be a limitation in areas with poor connectivity.

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Analysis of Juro

Overall verdict

  • Yes, Juro is generally considered a good platform for contract management.

Why this product is good

  • Juro offers an intuitive interface and robust features that streamline the contract lifecycle. Users appreciate its ability to automate contract creation, negotiation, and approvals, saving time and reducing errors. The platform also provides seamless integrations with other tools, enhancing workflow efficiency.

Recommended for

  • Small to medium-sized businesses looking to streamline their contract processes
  • Legal teams that want to automate routine tasks and focus on strategic work
  • Teams who need a collaborative environment for drafting and negotiating contracts

Juro videos

+ Add

Juro | Contract collaboration your whole team will love.

More videos:

  • Review - Amazon’s Juro Stainless Steel Tumbler 20 oz
  • Review - ROSALÍA - Juro Que | 🇬🇧UK Reaction/Review
  • Review - Mitsubishi Mirage Juro 1.2 Manual Review By MotorMartin

TensorFlow videos

+ Add

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 Juro and TensorFlow)

Juro

TensorFlow

Contract Management
100 100%
Contract Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Document Automation
100 100%
Document Automation
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using Juro 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 Juro and TensorFlow

Juro Reviews

We have no reviews of Juro 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.
Source: www.labellerr.com
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...
Source: www.assemblyai.com

Social recommendations and mentions

Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 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.

Juro mentions (0)

We have not tracked any mentions of Juro yet. Tracking of Juro recommendations started around Mar 2021.

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 2 years 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 3 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 3 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 3 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 3 years ago
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What are some alternatives?

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

CobbleStone Software - Managing contracts just got easier with CobbleStone!

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

IronClad - Ironclad is an automated assistant that manages legal paperwork for your company.

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

Conga Contracts - Conga Contracts is management solution designed to accelerate and simplify contract negotiations in Salesforce.

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

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