Software Alternatives, Accelerators & Startups

NumPy VS Asana

Compare NumPy VS Asana and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Asana logo 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.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Asana Landing page
    Landing page //
    2023-10-10

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

Asana videos

Asana Review + Demo: Top 5 Reasons Asana Is The Best Project and Team Management Tool

More videos:

  • Review - Asana: Full Review (2019) (with timestamps)
  • Review - Asana Warning! Top 5 Reasons To Avoid Asana Project Manager (Before You Buy Asana Review)

Category Popularity

0-100% (relative to NumPy and Asana)
Data Science And Machine Learning
Project Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Task Management
0 0%
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 NumPy and Asana

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

Asana Reviews

  1. Good, but not the best.

    While Asana is a robust task management and project planning tool, in my experience, it falls slightly short when compared to Trello, particularly in terms of user-friendliness and simplicity. Asana offers a variety of features such as multiple project views (list, board, timeline, calendar), custom fields, and reporting tools, which can be highly beneficial for complex project management. However, I found that the learning curve can be steep, especially for team members not familiar with this type of software. The interface, while feature-rich, can feel a bit cluttered and overwhelming for new users. On the other hand, Trello shines in its simplicity and straightforward design. The visual card and board system is intuitive and easy to grasp, making it a more accessible tool for team members of varying tech proficiency levels. Additionally, Trello's user interface is cleaner and more streamlined, which contributes to an overall more enjoyable user experience.

    In terms of collaboration, both tools provide good collaborative features like commenting, tagging, and task assignment. However, I appreciate Trello's flexibility with its Power-Ups, allowing integration with a wide array of apps which enhances its functionality. In conclusion, while Asana is a powerful tool with extensive features, I prefer Trello for its ease of use, simplicity, and intuitive design. However, I do see the value of Asana for larger teams or more complex projects.

    🏁 Competitors: Trello
  2. A Solid Project Management Tool, but Not the Best on the Market

    Asana is a popular project management tool that has a lot to offer. It is fast and versatile, making it easy for individuals and teams to collaborate and get things done. The interface is clean and user-friendly, and there are plenty of features to help you organise and track your projects.

    However, while Asana is a good tool, it is not the best on the market. One of its main weaknesses is its lack of advanced reporting and analysis capabilities. It can be challenging to get a comprehensive view of your projects and how they are progressing, especially if you have a large number of them.

    Another issue is the cost. Asana can be expensive for teams with a lot of members, especially when compared to other project management tools that offer similar features at a lower price point.

    🏁 Competitors: Trello
    👍 Pros:    Fast|Clean ui|Excellent features
    👎 Cons:    No reporting|Expensive
  3. Coordinate and manage in teams the tasks and the circulation of work of a plan.

    Asana is a very representative app for the work environment I'm a part of with team members and users it's stellar for: • To manage it on the web and portable devices • With option and manageability on the web • To set up projects and invite team members. • The projects have a roadmap to know the displacement of each activity. • Tasks can contain subtasks to keep track of work • Allows granting tasks, define expiration periods. • Effective and useful for adding files, making comments, and tags.

    🏁 Competitors: Trello, Wrike
    👍 Pros:    Asana proceeds effectively by promoting and supporting the work plan process for each project in terms of: • to arrange and establish the work to be executed for a given project. • to distribute and share among the members the tasks of a project. • flexible to locate and work those minimum activities of a task. • to fix and assign who will be in charge of the tasks. • it is consistent to fix the structured tasks and visualize the phases and their movements. • to set dates for a project from start to finish. • with the option to handle related tasks that in one way or another are dependent on each other.
    👎 Cons:    Asana, is substantial to give continuity to the acquired commitments, it gathers everything necessary for the satisfactory completion of the work plans, being so it is a fantastic application as long as i have no adverse consequences while i am using it.

The Ultimate List of 20 Best AI Work Management Tools
Asana Intelligence: Asana leverages AI algorithms to provide task recommendations, goal-based resource management, and health checks based on historical data and user behavior, helping users prioritize and manage tasks more efficiently.
Source: ppm.express
12 Best ClickUp Alternatives for Innovative Management in 2023
Benefits of Asana compared to ClickUp: Asana has a simpler layout, which most users love compared to ClickUp. ClickUp lacks visibility of team workload, while Asana has a dedicated feature that gives valuable insights into how projects develop. Asana also lets managers track goals and monitor team performance which is essential for reporting.
Source: ayanza.com
Breeze vs. Asana - The best Asana alternative is Breeze
What is the difference between Breeze and Asana? The main reason to use Breeze instead of Asana is because it is faster, simpler and easier. When using Breeze you can talk to a real person about everything - we listen to your feedback, add features you need, and evolve with our users.
Source: www.breeze.pm
12 BEST Wrike Alternatives for Project Management in 2022
Asana is an ideal project management software for small teams. It is available in three different versions Free, Premium & Enterprise.
Source: www.guru99.com
14 Best Wrike Alternatives For Project Management In 2022
Asana and Wrike are similar in their “freemium” payment model, but differ in some other basic capacities. Wrike has more of a set structure for project management, whereas Asana has greater flexibility, similar to Hive. Project views in Asana include list, boards, timeline and portfolios, whereas Wrike has a Gantt view, timelog view, table view, analytics view, file view,...
Source: hive.com

Social recommendations and mentions

NumPy might be a bit more popular than Asana. We know about 107 links to it since March 2021 and only 86 links to Asana. 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.

NumPy mentions (107)

  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 8 months ago
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Asana mentions (86)

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What are some alternatives?

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

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

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

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

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.

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

Basecamp - A simple and elegant project management system.