Software Alternatives, Accelerators & Startups

Asana VS NumPy

Compare Asana 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.

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 logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Asana Landing page
    Landing page //
    2023-10-10
  • NumPy Landing page
    Landing page //
    2023-05-13

Asana features and specs

  • User-friendly Interface
    Asana offers a clean and intuitive interface that makes it easy for users to navigate and manage their tasks without a steep learning curve.
  • Collaboration Features
    Asana provides robust collaboration tools, including task assignments, comments, and file attachments, which facilitate seamless teamwork.
  • Integration Options
    Asana integrates with a wide range of other tools and services, such as Slack, Google Drive, and Dropbox, allowing for a more cohesive workflow.
  • Customizable Workflows
    Users can tailor Asana to fit their specific needs with customizable templates, task boards, and automation rules, enhancing productivity.
  • Mobile Accessibility
    Asana has well-rated mobile apps for iOS and Android, enabling users to manage their tasks and projects on the go.
  • Timeline
    Visualize your project plan so you can hit your deadlines.
  • Kanban Boards
    A simple, visual way to track your team’s work.

Possible disadvantages of Asana

  • Pricing
    Though Asana offers a free tier, advanced features and larger team sizes require a subscription, which can be expensive for small businesses.
  • Complexity for Small Projects
    For smaller projects or teams, Asana might feel overly complex and include features that aren't necessarily needed, potentially leading to a cluttered experience.
  • Limited Offline Capabilities
    Asana relies heavily on internet connectivity, and its offline features are limited, which can be a drawback for users who need access in low-connectivity environments.
  • Notification Overload
    Users may find themselves overwhelmed by frequent notifications and updates, making it difficult to filter out the essential information.
  • Steep Learning Curve for Some Features
    While the basic features of Asana are user-friendly, some of the more advanced functionalities have a steeper learning curve, requiring time to master.

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.

Asana videos

Exploring the new Asana Timeline

More videos:

  • Demo - Asana Review + Demo: Top 5 Reasons Asana Is The Best Project and Team Management Tool
  • Review - Asana: Full Review (2019) (with timestamps)
  • Review - Asana Warning! Top 5 Reasons To Avoid Asana Project Manager (Before You Buy Asana Review)

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

Asana Reviews

  1. Convenient

    Convenient. It helps to stay organized and track task progress.

  2. 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
  3. Simon
    · Working at IT Professional ·
    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

Top 10 Notion Alternatives for 2025 and Why Teams Are Choosing Ledger
Asana shines when it comes to visual task management and timelines. But for teams that need deeper documentation, chat, or creative collaboration, it often gets paired with other tools—adding complexity.
The Top 7 ClickUp Alternatives You Need to Know in 2025
OverviewAsana is known for its user-friendly interface and comprehensive task management capabilities. It helps teams organize work efficiently while enhancing collaboration.
How Tight-Knit Teams Get More Done with Innovative Project Management Tools
A small business might suddenly land a new client or product line. With a flexible approach, you can handle sudden expansions. For instance, if your Trello board becomes crowded, you can create additional boards or switch to something like Asana that manages more detailed sub-tasks. Meanwhile, short video demos via ScreenRec can ensure your new hires (or existing staff)...
Source: medium.com
25 Best Asana Alternatives & Competitors for Project Management in 2024
Build short-form project briefs to robust resource wikis with ClickUp Docs. Docs are integrated with your projects and tasks, making it convenient to manage everything in one place! Top it off with a suite of customizations, and Docs can easily replace your other tools to organize any type of data. Asana doesn’t have native docs making ClickUp one of the more popular Asana...
Source: clickup.com
The 10 best Asana alternatives in 2024
Project management looks different for every person and every team—so it makes sense that the tool you choose will be for similarly unique reasons. The best way to choose an Asana alternative is to decide what isn't working for you with Asana, and then test out a few of these tools to see which of them fits your needs best.
Source: zapier.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

NumPy might be a bit more popular than Asana. We know about 119 links to it since March 2021 and only 94 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.

Asana mentions (94)

  • Mastering the Money Matters of Open Source: Navigating the Financial Landscape
    Budgeting and Planning: Setting a realistic budget that aligns with the project’s goals is an essential first step. Tools such as Trello and Asana can help project teams organize tasks and track financial planning efforts. Detailed budget management strategies are also discussed within the open source project budget management guides. - Source: dev.to / 2 months ago
  • Asana Salesforce Integration Guide
    Asana is a popular platform for organizing and tracking work, helping teams manage tasks and projects. Salesforce, on the other hand, is a leading customer relationship management (CRM) tool that helps companies track customer interactions, manage sales, and organize support activities. - Source: dev.to / 6 months ago
  • 🚀 Introducing Claude 3.5 Sonnet & Haiku: The AI Revolution is Here! 💻✨
    Now, here’s where things get really exciting—Claude can now use computers like we do! 🎉 Imagine an AI that can move a cursor, click buttons, type text, and interact with software on its own. This feature, available in Claude 3.5 Sonnet (currently in public beta), is a game-changer. Companies like Asana, Canva, and Replit are already leveraging it to automate complex workflows and handle multi-step tasks in real... - Source: dev.to / 7 months ago
  • 100+ Must-Have Web Development Resources
    Asana: Helps track and record team members' work. - Source: dev.to / 7 months ago
  • 5 Best AI Tools for Productive Development in 2024
    Managing development projects and tasks can be time-consuming, but Asana’s AI-powered features make it easier to stay on top of deliverables. Asana uses AI to offer smart suggestions for project goals, detect potential risks, and provide insights into team productivity. - Source: dev.to / 7 months ago
View more

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 / 3 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 / 8 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 / 8 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 / 9 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 / 9 months ago
View more

What are some alternatives?

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

Basecamp - A simple and elegant project management system.

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.

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

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