Software Alternatives, Accelerators & Startups

Scikit-learn VS Anaplan

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

Scikit-learn logo Scikit-learn

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

Anaplan logo Anaplan

Planning & performance management platform
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Anaplan Landing page
    Landing page //
    2023-09-15

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Anaplan videos

The Top 10 Things You Need to Know About Anaplan

More videos:

  • Review - Anaplan CEO predicts 'dramatic shift' in business planning
  • Review - Demo: Anaplan Sales Forecasting in Action

Category Popularity

0-100% (relative to Scikit-learn and Anaplan)
Data Science And Machine Learning
Data Dashboard
30 30%
70% 70
Data Science Tools
100 100%
0% 0
Financial Performance Management

User comments

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Reviews

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

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...

Anaplan Reviews

We have no reviews of Anaplan yet.
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Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Anaplan. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Anaplan. 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.

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 / 3 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 / 12 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
View more

Anaplan mentions (1)

  • Cashflow forecast based on client average days to pay
    Anaplan (anaplan.com) is an option as you'll need to setup an integration via tray.io. They are not add-ons but separate applications that will take your Xero data and replicate a copy of the data into Anaplan. Once the Xero data is in Anaplan you'll be able to do the detailed Cash Flow. I don't work for any of the companies discussed here. Source: over 1 year ago

What are some alternatives?

When comparing Scikit-learn and Anaplan, 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.

Prophix Software - Prophix develops Corporate Performance Management (CPM) software that automates important financial and operational processes.

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

Oracle Hyperion Planning - Oracle Hyperion Planning is an Excel and web-based planning and management solution that integrates planning, forecasting and budgeting into one unified solution.

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

Board - Unified BI, CPM and predictive analytics software.