Software Alternatives, Accelerators & Startups

Crexi VS assertpy

Compare Crexi VS assertpy and see what are their differences

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.

Crexi logo Crexi

Crexi is a smart real estate property data management platform that allows searching the huge data with complete orientation like location, agent or brokerโ€™s descriptions, lease, auctions, and comparisons with other organizations.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Crexi Landing page
    Landing page //
    2023-08-22
  • assertpy Landing page
    Landing page //
    2022-11-06

Crexi features and specs

  • Comprehensive Listings
    Crexi provides a wide range of commercial real estate listings, offering users access to a vast selection of properties for sale and lease.
  • User-Friendly Interface
    The platform is designed with ease of use in mind, allowing users to navigate and search for properties efficiently.
  • Free Basic Access
    Crexi offers basic access to its platform for free, making it accessible to users without upfront costs.
  • Advanced Search Filters
    Users can utilize detailed search filters to find specific types of properties quickly and according to their preferences.
  • Market Analysis Tools
    Crexi provides tools for market analysis, helping users make informed decisions with data-driven insights.

Possible disadvantages of Crexi

  • Limited Features on Free Version
    The free version of Crexi may not offer access to all features, limiting functionality compared to the premium version.
  • Data Accuracy
    As with many property listing platforms, there can be occasional issues with outdated or inaccurate property data.
  • Competitive Market
    The platform hosts a large number of listings, which can sometimes make it challenging for individual listings to stand out.
  • Learning Curve
    While generally user-friendly, some users might experience a learning curve when navigating the platform's advanced tools and features.
  • Subscription Costs
    Full access to all features and comprehensive insights often requires a paid subscription, which may not be cost-effective for all users.

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 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

Crexi videos

LoopNet vs Crexi: Which is Better for Net Lease Property Sales?

More videos:

  • Review - Crexi Platform Overview
  • Review - Introduction to the CREXi Commercial Real Estate Platform - with Loren Keim

assertpy videos

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

Add video

Category Popularity

0-100% (relative to Crexi and assertpy)
Project Management
100 100%
0% 0
Testing
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Python
0 0%
100% 100

User comments

Share your experience with using Crexi 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, Crexi seems to be more popular. It has been mentiond 6 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.

Crexi mentions (6)

  • We are in need of a storage and do not know who to contact
    You can also search crexi.com. Costar owns loopnet and cityfeet. Costar is a broker-only expensive shared listing service. In addition, Loopnet charges a ton for listings so many brokers won't feel it's cost effective to put a smaller listing there. I'm not sure about cityfeet, never really used it. Crexi is independent of those and is free (but just getting started) so it may have different properties there.... Source: over 3 years ago
  • commercial real estate
    CoStar: https://www.costar.com/ LoopNet: https://www.loopnet.com/ CREXi: https://crexi.com/ Real Commercial: https://www.realcommercial.com.au/ Zillow: https://www.zillow.com/commercial/ Realtor.com: https://www.realtor.com/commercial/ These websites generally allow you to search for properties by location, price, size, and other criteria. Additionally, many of these websites have tools and resources to help... Source: over 3 years ago
  • Buying multifamily properties in a downturn market with high rate?
    The thing, as you noted, is that price hasn't come down to match rate hikes. I looked at deals on loop.net and crexi.com, all looks like bad deals for a leverage position, unless you have 40-45% cash downpayment, the cash flow could turn positive. Is this the norm these days with a such big downpayment or is it just in multifamily? Other side of the equation is DSCR, even if cashflow is positive, DSCR may not be... Source: almost 4 years ago
  • Which do you recommend, Costar or Reonomy and costar advice
    A cheap but helpful option is crexi.com. They have sale data and some have listing info. Source: over 4 years ago
  • Why is the Fed not raising rates?
    If you are looking for commercial deals, there are a few resources out there. One poster mentioned "loopnet.com" which is owned by CoStar.com. Costar requires an expensive subscription but you see stuff that will not be out there on loopnet. You can browse costar for news and etc. You can also check out crexi.com, ten-x.com, rcm1.com marketplace. Unfortunately, a lot of the good commercial stuff are kept... Source: almost 5 years ago
View more

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 Crexi and assertpy, you can also consider the following products

CompStak - CompStak offers CRE insights for lenders, landlords, and investors.

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

Estated - Real-estate and property data that empowers

Reonomy - Commercial real estate analytics platform.

CoreProspect - CoreProspect is a real state data management platform that provides real-time insights for making strategic decisions before sharing any investment in huge projects like property ownership or budget organizing.

LexisNexis Property Data - LexisNexis Property Data is a smart platform that contains real state property data for making decisions and planning as a credible data resource.