Redmine VS NumPy

Redmine is an open-source tool which works cross-platform along with multilanguage support. It gives registered users the ability to create and manage their own projects meaning once you have registered, you are allowed to create your own projects and get access to their features. Being a free downloadable software, it is definitely worth a try.

Source: www.proofhub.com

12 Best JIRA Alternatives in 2019

Redmine is another important JIRA open source alternative tool. The basic version of this tool is open-source, and it can work on any machine. It is one of the best jira competitors that supports Ruby, and could take more time for installation, but once installed it runs smoothly.

Source: www.guru99.com

29 Best Alternatives to Dapulse (Now Monday.com)

Redmine is a must-have tool for every project manager. As a project manager, you can use Redmine to keep every employee on track and give their peak performance, every time. Pricing: FREE TRIAL – Available FREE â Free

Source: www.proofhub.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 Redmine. While we know about 109 links to NumPy, we've tracked only 7 mentions of Redmine. 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.

Redmine mentions (7)

Projectmanagement
I’m using redmine. It comes with a learning curve, but has almost endless possibilities. Source: 6 months ago
Basic ticketing system recommendations?
Redmine. Its free and has nice features like LDAP authentication, import emails as tickets, etc. Source: about 1 year ago
MS Office 365 and Project Management
Planner could work and integrate well with the O365 suite. We use Redmine. It’s low cost/free and is great for small or medium size projects. Source: almost 2 years ago
Professional Software Development at Zero Cost
Redmine - Free, Open Source, Self-hosted. Provides issue management, source control integration, wiki, forums etc. - Source: dev.to / about 2 years ago
Atlassian products have been down for 4 days
No love for Redmine ? https://redmine.org * Ticket tracker. - Source: Hacker News / about 2 years ago

NumPy mentions (109)

NumPy for Beginners: A Basic Guide to Get You Started
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 1 day ago
2 Minutes to JupyterLab Notebook on Docker Desktop
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
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

What are some alternatives?

When comparing Redmine 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.

Basecamp - A simple and elegant project management system.

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.

Redmine vs Scikit-learn