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Smartsheet VS NumPy

Compare Smartsheet VS NumPy and see what are their differences

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  3. » Reviews
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Smartsheet logo Smartsheet

Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies.
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Smartsheet Landing page
    Landing page //
    2023-03-29
  • NumPy Landing page
    Landing page //
    2023-05-13

Smartsheet features and specs

  • User-Friendly Interface
    Smartsheet offers an intuitive interface that is easy to navigate, making it accessible for users of all skill levels.
  • Collaboration Features
    The platform supports real-time collaboration with features such as shared sheets, comments, and automated update requests.
  • Versatility
    Smartsheet can be used for a variety of purposes, including project management, task tracking, and process automation.
  • Integration Capabilities
    Smartsheet integrates with numerous other software applications like Google Workspace, Microsoft Office 365, and Jira, enhancing its utility.
  • Automation Options
    The software offers robust automation features to reduce manual work, such as automated workflows, reminders, and status updates.
  • Reporting and Analytics
    Users can create detailed reports and dashboards to gain insights into their projects and workflows.

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 Smartsheet

Overall verdict

  • Overall, Smartsheet is considered a highly effective tool for managing projects and workflows, particularly for teams that require a strong collaborative element and are looking for a flexible and scalable solution. Its ease of use and powerful features make it a recommended choice for businesses and organizations of various sizes.

Why this product is good

  • Smartsheet is a robust project management and collaboration tool that is designed to help teams manage their tasks, projects, and workflows effectively. It offers features such as Gantt charts, dashboards, automated workflows, and real-time collaboration, making it a versatile solution for organizations that need to coordinate complex operations. It's particularly appreciated for its intuitive spreadsheet-like interface, which makes it accessible to users familiar with Excel or similar tools. Additionally, Smartsheet integrates well with a variety of other software, offering a flexible solution that can fit into existing workflows.

Recommended for

  • Teams that need a collaborative tool for managing projects and tasks.
  • Organizations looking for a flexible project management solution with robust automation features.
  • Businesses that require integration with other software and tools they are already using.
  • Users who prefer a spreadsheet-like interface for managing projects and data.

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.

Smartsheet videos

+ Add

Project Tools Review: Microsoft Project vs. Smartsheet

More videos:

  • Review - Smartsheet Project Management Overview
  • Review - Introduction to Smartsheet
  • Review - Smartsheet Review: Key Features, Pros, And Cons
  • Review - Smartsheet review 2021
  • Review - Introduction to Smartsheet
  • Review - Smartsheet Review - 4 Reasons Why You Shouldnt Use Smarthsheet -Walktrough, Top Features, Pros & Con
  • Review - Introduction to Smartsheet

NumPy videos

+ Add

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 Smartsheet and NumPy)

Smartsheet

NumPy

Project Management
100 100%
Project Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Task Management
100 100%
Task Management
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

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

Smartsheet Reviews

20 Best Capacity Planning Software Tools
Tempus Resource distinguishes itself through extensive integration capabilities with popular project management tools. The platform connects seamlessly with solutions like Microsoft Project, Jira, and Smartsheet, creating a unified resource management ecosystem.
Source: www.supervisible.com
25 Best Asana Alternatives & Competitors for Project Management in 2024
Smartsheet is a project management tool that lets you manage, track, and plan multiple projects. The key feature of Smartsheet is the Control Center—a portfolio and project management solution. Project managers can save time on manual work with the Control Center’s automation capabilities.
Source: clickup.com
The 10 best Asana alternatives in 2024
Smartsheet is great for enterprise teams that want the versatility of Excel or Google Sheets alongside additional collaboration, visualization, and automation features. But that mix comes with a steep learning curve and a less aesthetically pleasing interface than other popular project management tools. While you can start using Asana without much frustration right away,...
Source: zapier.com
10+1 Best Workflow Management Software 2024 For Maximum Efficiency
Smartsheet offers a host of features such as project management, automation, and integrations. However, its interface might be a little more complex for new users. It provides integration with popular apps like Microsoft 365 and G Suite and supports automation functions.
Source: www.manifest.ly
16 Best Asana Alternatives of 2024 (Free + Paid)
This Asana alternative’s strength is also its weakness, which is spreadsheets. Project management software was developed as a response to the limitations of spreadsheets. Smartsheet is maybe too smart in that it’s complicated and difficult to use. That steep learning curve can be overcome with much time and effort, but having to buy add-ons to do important tasks such as time...
Source: www.projectmanager.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.
Source: www.analyticsvidhya.com
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 a lot more popular than Smartsheet. While we know about 121 links to NumPy, we've tracked only 5 mentions of Smartsheet. 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.

Smartsheet mentions (5)

  • Feature id like to see
    It can probably be mimicked with SmartSheet project management software. A free account would be sufficient for this. Source: over 2 years ago
  • What are the everyday tools that you use in operating your small business?
    Smartsheet is a cloud-based spreadsheet tool that I use for client management, CRM tracking, and accounting. It has all of the features of Microsoft Excel, but it also allows you to share your sheets with others and work on them collaboratively. This is a great tool for small businesses because it allows you to keep track of all of your clients in one place, and you can access it from anywhere. Source: over 3 years ago
  • Rows.com: Spreadsheets on Steroids
    3. Business processes What Rows does falls mostly into the realm of small databases and business processes. And while each has their own approach, I'd say that most other "next-gen spreadsheets" are also focusing on these (big and important) use-cases. Airtable (https://airtable.com/), Spreadsheet.com (https://spreadsheet.com/) and Smartsheet (https://smartsheet.com/) all play mainly in this area. GRID is focusing... - Source: Hacker News / almost 4 years ago
  • What do front-end developers do?
    I want to make apps like monday.com and smartsheet.com. I do not want to build websites. Source: over 4 years ago
  • Entry Level job/Salary Expectation/Skill needed for programming?
    Right now my passion is building web-based applications (not websites) and mobile apps. Like I want to build something similar to monday.com or smartsheet.com. I don't wanna build something like TurboTax or Windows or macOS. Source: over 4 years ago

NumPy mentions (121)

  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 14 days ago
  • Your 2025 Roadmap to Becoming an AI Engineer for Free for Vue.js Developers
    AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Python’s syntax is straightforward. - Source: dev.to / about 2 months ago
  • 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 / 8 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 / about 1 year 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 / about 1 year ago
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What are some alternatives?

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

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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

Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

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

Basecamp - A simple and elegant project management system.

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

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