Software Alternatives, Accelerators & Startups

CoManage VS Scikit-learn

Compare CoManage VS Scikit-learn and see what are their differences

CoManage logo CoManage

The software to manage your business successfully.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • CoManage Landing page
    Landing page //
    2022-08-04

CoManage is your complete business management in 1 online tool. View all customer data, create professional invoices, track quote requests, track time and manage your current projects. And all that with 7 on 7 support!

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

CoManage

$ Details
paid Free Trial €17.5 / Monthly (for all the basic features)
Platforms
Mac MacOS Mac OSX Android Windows
Release Date
2018 September

CoManage features and specs

  • Customer management: yes
  • Billing: yes
  • Quotes: yes
  • Cost management: yes
  • Project management: yes
  • Time Tracking: yes
  • Product & service management: yes

Scikit-learn features and specs

No features have been listed yet.

CoManage videos

CoManage Explainer video

More videos:

  • Review - Een periodieke of terugkerende factuur aanmaken in de facturatiemodule van CoManage
  • Review - CoManage testimonial - Kurt Vandeweerdt
  • Review - Managing Affiliate, Alumni, and Other Identities with COmanage (April 2018)

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to CoManage and Scikit-learn)
Project Management
100 100%
0% 0
Data Science And Machine Learning
Invoicing
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing CoManage and Scikit-learn.

What makes your product unique?

CoManage's answer

7/7 online support from 9h till 22.30h

Why should a person choose your product over its competitors?

CoManage's answer

User-friendly and affordable

How would you describe your primary audience?

CoManage's answer

Small business owners

What's the story behind your product?

CoManage's answer

CoManage was launched in 2015 by CRE8. Our team of developers works full time on improvements and enhancements to our simple online invoicing and quoting tool.

Which are the primary technologies used for building your product?

CoManage's answer

Laravel, Vue, PHP

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CoManage and Scikit-learn

CoManage Reviews

We have no reviews of CoManage yet.
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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 28 times since March 2021. 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.

CoManage mentions (0)

We have not tracked any mentions of CoManage yet. Tracking of CoManage recommendations started around Mar 2021.

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 2 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
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What are some alternatives?

When comparing CoManage and Scikit-learn, you can also consider the following products

Javelin Group - Javelin Group, part of Accenture Strategy, provides strategy consulting and digital transformation services to the world’s leading retailers and consumer brands.

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

PFSweb - PFS is a Global eCommerce Solutions Provider delivering consulting, technology, operations & digital agency services to create commerce without compromise.

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

Amblique - Digital commerce consultancy.

NumPy - NumPy is the fundamental package for scientific computing with Python