Software Alternatives & Reviews

NumPy VS Ideanote

Compare NumPy VS Ideanote and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Ideanote logo Ideanote

Ideanote is the #1 rated Idea Management solution for companies of all sizes. Collect, develop and manage more of the right ideas from customers and employees to drive your growth.
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  • NumPy Landing page
    Landing page //
    2023-05-13
  • Ideanote Landing page
    Landing page //
    2022-01-05

Ideanote is the #1 rated Idea Management solution for companies of all sizes. Its simplicity, fast onboarding and smart automation features mean you can accelerate your innovation without compromises. More than 100+ idea management features let you build your innovation funnel just the way you like.

Collect and manage ideas, engage customers and employees in your innovation, automate workflows and report on your innovation impact. Ideanote supports your business with easy idea and innovation management, open innovation challenges, continuous innovation and by lifting your employee engagement.

  • Increase revenue.
  • Reduce overall costs.
  • Improve processes with agile innovation.
  • Achieve strategic goals.
  • Engage people.
  • Outcompete your competitors.
  • Stay resilient.

Collect and track ideas in one place.‍

Use goal-driven idea collections to capture ideas from anyone in seconds - and end up with ideas that you’ll actually want to act on.

Move ideas forward in your own idea funnel.

Use goal-driven idea collections to capture ideas from anyone in seconds - and end up with ideas that you’ll actually want to act on.

Efficient, engaging and built for ideas.

Use goal-driven idea collections to capture ideas from anyone in seconds - and end up with ideas that you’ll actually want to act on.

Ideanote

$ Details
freemium $49.0 / Monthly (Business Plan, 15 Users)
Platforms
Web Browser Android Windows iOS Google Chrome Mac OSX Firefox Cross Platform REST API Chrome OS Microsoft Teams Safari Cloud Slack

NumPy features and specs

No features have been listed yet.

Ideanote features and specs

  • Idea Management: Yes
  • Idea Tracking: Yes
  • User And Group Management: Yes
  • User Permission Management: Yes
  • User-Friendly Interface: Yes
  • Automation: Yes
  • Analytics and Reporting: Yes
  • Forms: Yes
  • Phases: Yes
  • Custom Domain: Yes
  • Branded Look and Feel: Yes
  • Integrations: 100+
  • API: Yes
  • Microsoft Teams Integration: Yes
  • Single Sign On: Yes
  • AI Powered : Yes
  • Tagging: Yes
  • Custom Views: Yes
  • Assignment management: Yes
  • Anonymity: Yes
  • Zapier integration: Yes
  • Leaderboard: Yes
  • Gamification: Yes
  • Import Data: Yes
  • Multiple Languages: FR, DE, CZ, RU, HU, IT, ES, FI, NL, KR, JP, CN, TH, VN, DA, SE, NO, HR
  • Hidden fields: Yes
  • Notifications: Yes
  • Activity Dashboard: Yes
  • Idea Evaluation: Yes
  • Search and Filtering: Yes

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

Ideanote videos

Teaser

More videos:

  • Demo - Explainer
  • Review - Collect, develop, and prioritize the right ideas with the right people all on Ideanote
  • Review - Ideanote Review: It just WORKS

Category Popularity

0-100% (relative to NumPy and Ideanote)
Data Science And Machine Learning
Brainstorming And Ideation
Data Science Tools
100 100%
0% 0
Idea Management
0 0%
100% 100

User comments

Share your experience with using NumPy and Ideanote. 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 NumPy and Ideanote

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

Ideanote Reviews

  1. Ideanote is so helpful!

    I've been using Ideanote for less than 6 months but it really helpful with my job! I work as Project Manager, Designer for Game Development company and everyday I work with our community members, Ideanote helps me to gather ideas and innovation from community, brainstorming with them and see what they need because the members can write their ideas too!

    👍 Pros:    Ideal for data gathering
    👎 Cons:    Ui can be improved

9 Best Brainstorming Tools for Startups & Entrepreneurs in 2023
With a long-awaited integrations marketplace that connects many other apps. Ideanote is at last opening up the world. Automate the tedious tasks in a matter of seconds to boost creativity and hasten the adoption of the best solutions. From the start, keep tabs on the development of your innovation-driven growth. With a built-in advanced analytics dashboard, you can simply...
Source: dhandhokaro.com
18 Best Idea Management Software to Facilitate Innovation 2023
Ideanote is a web-based tool that helps people prioritize and act with multiple product “areas” to dive deeper into every aspect of the idea management process. Less of a brainstorming tool and more of a digital suggestion box, Ideanote aims to collect potential new ideas from teammates, customers, and stakeholders from across the web, prioritize them, and add them to your...
Source: clickup.com
Best Evernote Alternatives in 2021 for Serious Note Takers
Marketed as the world’s #1 all-in-one innovation platform, Ideanote gives you one central hub to capture and manage your ideas, notes, and to-dos. This app makes it easy to collaborate with your team (or anyone else!) while developing, managing, and tracking ideas. Ideanote offers a customizable and intuitive workflow that makes note-taking easy and helpful.

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Ideanote. While we know about 107 links to NumPy, we've tracked only 1 mention of Ideanote. 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 / about 2 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 / 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 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 / 6 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 / 7 months ago
View more

Ideanote mentions (1)

What are some alternatives?

When comparing NumPy and Ideanote, 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.

The Guide - The Guide is a two-pane outliner - a program that allows you to arrange text notes in a tree-like...

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

Monkkee - Keep a private journal securely on the Internet – to provide a convenient user experience your...

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

Brightidea - With over 2 million users worldwide and $15+ billion in recorded business impact, Brightidea is ranked as the #1 Idea Management Platform globally and is the market leader in innovation management.