Software Alternatives, Accelerators & Startups
Register | Login

Anaplan VS assertpy

Compare Anaplan VS assertpy and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Anaplan logo Anaplan

Planning & performance management platform

assertpy logo assertpy

A straightforward assertion library for Python.
  • Anaplan Landing page
    Landing page //
    2023-09-15
  • assertpy Landing page
    Landing page //
    2022-11-06

Anaplan features and specs

  • Scalability
    Anaplan is designed to handle large data sets and complex models, making it suitable for enterprises with extensive and growing data needs.
  • User-Friendly Interface
    The platform offers a visually intuitive interface that allows users to create and modify models without deep technical expertise.
  • Real-Time Data Processing
    Anaplan enables real-time collaboration and immediate updates, ensuring that all users work with the most current data.
  • Customization
    The system provides a high level of customization, allowing businesses to tailor solutions to their specific requirements and workflows.
  • Integrated Planning
    Anaplan offers integrated business planning, connecting various departments and enabling cohesive decision-making.

Possible disadvantages of Anaplan

  • Cost
    Anaplan can be relatively expensive, especially for small and medium-sized enterprises, potentially making it a less viable option for those with limited budgets.
  • Complex Implementation
    Setting up Anaplan can be complex and time-consuming, often requiring specialized knowledge and possibly external consultants for effective deployment.
  • Learning Curve
    Though the interface is user-friendly, mastering Anaplanโ€™s full capabilities can require substantial training and experience.
  • Resource Intensive
    The platform can be resource-intensive, requiring robust hardware and network capabilities to ensure optimal performance.
  • Limited Third-Party Integrations
    While Anaplan integrates well with some major applications, it may offer limited compatibility with certain third-party tools, potentially requiring additional steps for integration.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of Anaplan

Overall verdict

  • Anaplan is generally considered a powerful tool for enterprises looking for comprehensive planning and forecasting solutions. Users appreciate its ability to handle complex modeling and its user-friendly interface, though some note that the initial learning curve can be steep.

Why this product is good

  • Anaplan is widely regarded as a robust platform for business planning and performance management. It offers a cloud-based solution that allows for interconnected planning, ensuring that various departments like finance, HR, and supply chain can collaborate seamlessly. The platform is highly praised for its flexibility, scalability, and real-time data analytics, which enable organizations to make informed decisions quickly.

Recommended for

    Anaplan is best suited for medium to large enterprises that require advanced planning, budgeting, and forecasting capabilities across multiple departments. It is particularly beneficial for organizations seeking to align operations with strategic goals using data-driven insights.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Anaplan videos

+ Add

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

assertpy videos

No assertpy videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Anaplan and assertpy)

Anaplan

assertpy

Data Dashboard
100 100%
Data Dashboard
0% 0
Testing
0 0%
Testing
100% 100
Financial Performance Management
100 100%
Financial Performance Management
0% 0
Python
0 0%
Python
100% 100

User comments

Share your experience with using Anaplan and assertpy. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Anaplan seems to be more popular. It has been mentiond 1 time 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.

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 3 years ago

assertpy mentions (0)

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

What are some alternatives?

When comparing Anaplan and assertpy, you can also consider the following products

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

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

Planful - Planful is an online development platform with different remarkable services and features that enable users to make a rolling forecast, helping their business meet with every change.

Board - Unified BI, CPM and predictive analytics software.

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.

Vena - Vena is the corporate performance management software combines native Microsoft Excel with the sophisticated workflow, audit capabilities, business rules and central database of an enterprise-class solution.

Loading...