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CobbleStone Software VS Scikit-learn

Compare CobbleStone Software VS Scikit-learn and see what are their differences

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CobbleStone Software logo CobbleStone Software

Managing contracts just got easier with CobbleStone!
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Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • CobbleStone Software Landing page
    Landing page //
    2021-08-16

CobbleStone Software provides award-winning contract management software (CLM) for thousands of users around the world. CobbleStone Contract Insight is a user-friendly contract lifecycle management software solution that automates and streamlines the entire contract process with artificial intelligence and natural language processing.

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

CobbleStone Software

Website
cobblestonesoftware.com
Pricing URL
Official CobbleStone Software Pricing
$ Details
freemium $59.0 / Monthly (Unlimited contract storage)
Platforms
Windows Browser Android iOS Google Chrome Firefox Safari REST API Cloud iPhone Internet Explorer Chrome OS Windows Phone AWS .Net Edge Salesforce Azure ASP.NET API Web Mobile
Release Date
2010 August
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Scikit-learn

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

CobbleStone Software features and specs

  • Contract Lifecycle Management
  • Contract management
  • Contract Analytics
  • Workflow Management
  • Workflow Automation
  • Artificial Intelligence
  • Document management
  • Document Signing
  • Document Storage
  • Document generation
  • Search Functionality
  • Search and Filtering
  • Reports & analytics
  • Spend Tracking
  • Alerts
  • Dashboards and Visualizations
  • User Permission Management
  • Electronic Signature
  • Integrations
  • OCR PDF
  • Optical Character Recognition
  • Templates
  • Collaboration Tools
  • Archiving
  • Full Text Search on Form Submissions
  • Compliance Management
  • Retention Period
  • Version Control
  • Calendar
  • Salesforce Integration
  • Office 365 Integration
  • Bids and Budgets
  • RFP / RFQ portal
  • Vendor management
  • Supplier Management
  • Email notifications
  • Email Templates
  • Emailing
  • Outlook Email Integration
  • Word to PDF
  • Microsoft Outlook Integration
  • Google Docs
  • OneDrive integration
  • Online Access
  • Mobile App
  • Mobile apps (iOS & Android)
  • Mobile Friendly
  • Mobile responsive application
  • Robotic Automation
  • Playbooks
  • Advanced reports and statistics
  • Advanced Search
  • Advanced Analytics
  • Supplier Purchase Orders & Bills
  • Messaging
  • Risk Management
  • Risk Reporting
  • Compliance tools
  • Milestone, Tasks
  • Milestone tracking
  • Portal
  • Secure Data Storage
  • Secure Collaboration

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

CobbleStone Software videos

+ Add

CobbleStone Contract Management Software CLM

More videos:

  • Tutorial - Contract Management Artificial Intelligence with VISDOM AI
  • Review - CobbleStone Software Electronic Signatures

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to CobbleStone Software and Scikit-learn)

CobbleStone Software

Scikit-learn

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
Data Science Tools
0 0%
Data Science Tools
100% 100

Questions and Answers

As answered by people managing CobbleStone Software and Scikit-learn.

What makes your product unique?

CobbleStone Software's answer

CobbleStone provides a CLM solution that is highly configurable and user-friendly. On top of that, CobbleStone has over 20 years of experience successfully implementing contract management software.

How would you describe your primary audience?

CobbleStone Software's answer

CobbleStone's primary users are legal teams, procurement teams, compliance teams, sales teams, and finance teams. Users from throughout the organization can request contracts and view status.

Which are the primary technologies used for building your product?

CobbleStone Software's answer

CobbleStone Contract Insight is a web-based CLM application that can be accessed via desktop and native mobile app available on the Apple iOS and Android app stores. CobbleStone Contract Insight can be provided as a SaaS/cloud application or it can be installed on clients' server(s).

Why should a person choose your product over its competitors?

CobbleStone Software's answer

CobbleStone Contract Insight is the preferred contract lifecycle management software solution for clients that want an easy-to-use system that has been selected by thousands of users worldwide.

What's the story behind your product?

CobbleStone Software's answer

CobbleStone's mission is to provide the most advanced, cost-effective, and user-friendly contract and procurement management software applications that enable employees to do their best work.

Our software products and staff go above and beyond the expectations of each other and our clients. -We take a pledge to follow our Code of Conduct. -We take a pledge to respect our clients, our co-workers, our environment, and ourselves. -We strive to be successful by exemplifying sincerity, personal integrity, humility, courtesy, wisdom, and charity. -Our products and software solutions should continue to evolve to meet modern-day business needs.

CobbleStone Software has a proven track record providing contract management software with industry-leading flexibility and features designed to meet the unique needs of your organization. Our solutions are the result of millions of dollars of research and development, thousands of hours, client feedback, and industry "know-how". CobbleStone Contract Insight's® features set in the contract management software marketplace are unprecedented. It is about thinking long term, being responsive, and understanding the power of organization governance. We believe this is the right way to do business, and our satisfied customers would surely agree.

The need for our contract software solution began with a situation whereby a leading company violated an agreement and had to settle the dispute for over two million dollars. In that instance, our mission was created to help organizations avoid violations of agreements while providing a better solution to manage contracts & obligations.

Founded in 1995, CobbleStone was among the first and most experienced companies to offer a contract management software product, and we continue to be a leader with full contract lifecycle management and e-Procurement software.

Contact a CobbleStone Representative today to learn more!

For press inquiries and media relations, visit CobbleStone Software's press page at https://www.cobblestonesoftware.com/company/press.

User comments

Share your experience with using CobbleStone Software and Scikit-learn. 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 CobbleStone Software and Scikit-learn

CobbleStone Software Reviews

  1. Chris Wagner
    · N/A at N/A ·
    Makes our teams day to day Basis so much easier

    Before our team started to work with CobbleStone, we were heading on the wrong path. Especially due to COVID we were unorganized, not communicating well enough and it was an overall headache. CobbleStone customized the system exactly to what we needed for a day to day basis. CobbleStone is a highly underrated company which offers a highly scalable system and can accommodate to many needs. They are fully open to even developing new features to help your business even further.

Top 17 Best Contract Management Software for Small Business
Contract Management Software by CobbleStone provides advanced & user-friendly contract management & eSourcing solutions. Manage requests, approvals, authoring, compliance, reporting & more.
Source: cllax.com
12 Best Contract Management Software 2022
CobbleStone Contract Insight® Contract Management Software is an Enterprise CLM system selected by thousands of contract admin, legal, and procurement professionals. Contract Insight is backed by artificial intelligence and can automate and streamline the entire contract lifecycle with user-friendly features and administration. Take the stress out of contracts with easier...
Source: www.recruiterslineup.com
11 Best Contract Lifecycle Management (CLM) Software (2022)
CobbleStone is a feature-rich CLM solution that includes an unlimited amount of contract storage space, e-signature compliance, and financial tracking. It also incorporates the VISDOM® AI system to analyze contracts originating from internal or external data and transform that data into building blocks for improved contract oversight, proactive opportunity identification,...
Source: whatfix.com

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 31 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.

CobbleStone Software mentions (0)

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

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / about 1 year ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / over 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing CobbleStone Software and Scikit-learn, you can also consider the following products

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

OpenCV - OpenCV is the world's biggest computer vision library

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.

NumPy - NumPy is the fundamental package for scientific computing with Python

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