Shareloc

Website

shareloc.io

$ Details

paid Free Trial

Release Date

2026 March

Categories

#Retail #Market Analysis #Location Analytics #Location Intelligence #AI

Startup details

Country

Netherlands

City

Amsterdam

Founder(s)

Bar Levy-Laan, Umut Aykut Celik

Employees

1 - 9

assertpy

Website

github.com

$ Details

-

Release Date

-

Categories

#Testing #Python

Shareloc features and specs

• Location Scoring
  AI-assisted scores per listing based on footfall, accessibility, demographics, competition, and rent - all in one number
• Side-by-Side Comparison
  Compare two candidate locations head-to-head across all KPIs, with visual highlighting of strengths and weaknesses
• City Benchmarking
  Compare two cities against each other to identify where expansion potential is highest
• Gap & Opportunity Detection
  Identify underserved catchment areas and market gaps at street level before competitors do
• Exportable Reports
  Export location scores, KPIs, and insights as CSV or DOCX to support internal approvals and investment committees

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 Shareloc

Analysis of assertpy