Software Alternatives, Accelerators & Startups

CobbleStone Software VS NumPy

Compare CobbleStone Software VS NumPy and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

CobbleStone Software logo CobbleStone Software

Managing contracts just got easier with CobbleStone!
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • 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.

  • NumPy Landing page
    Landing page //
    2023-05-13

CobbleStone Software

$ 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

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

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

CobbleStone Software videos

CobbleStone Contract Management Software CLM

More videos:

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

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to CobbleStone Software and NumPy)
Contract Management
100 100%
0% 0
Data Science And Machine Learning
Document Automation
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing CobbleStone Software and NumPy.

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

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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 NumPy

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...
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

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 119 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 5 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 9 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing CobbleStone Software and NumPy, you can also consider the following products

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

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

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.

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

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.

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