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Delighted VS assertpy

Compare Delighted VS assertpy and see what are their differences

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Carrier-grade call tracking with dynamic number insertion, per-campaign tracking numbers, real-time CDRs, and A-level STIR/SHAKEN attestation. Know which campaigns drive calls. sponsored
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Delighted logo Delighted

The fastest and easiest way to gather actionable feedback from your customers

assertpy logo assertpy

A straightforward assertion library for Python.
  • Delighted Landing page
    Landing page //
    2023-10-19

Deliver customer feedback and employee experience surveys across various channels. Control when and where surveys are delivered for point-in-time feedback at key points in the customer journey and employee lifecycle.

No code required.

  • assertpy Landing page
    Landing page //
    2022-11-06

Delighted

Website
delighted.com
Pricing URL
Official Delighted Pricing
$ Details
freemium $224 / Monthly (10,000 send limit, 5 projects, 10 users, 35+)
Release Date
2013 February
Edit details

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-
Categories
#Testing #Python
Edit details

Delighted features and specs

  • Survey Distribution via Email, Web, Link, SDK and Kiosk
  • Prebuilt Reports and Trend Reports
    Yes
  • AI Suggested Filters
    Yes
  • Customize Branding
    Yes
  • Survey Types: NPS, CSAT, CES, 5-Star, Thumbs, Smiley, eNPS, PMF
  • Send Survey from Your Domain
    Yes
  • 30+ Languages
  • Autopilot to Schedule Delivery
    Yes
  • Survey Templates
    Yes
  • Additional Questions
    Yes
  • Testimonials

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 Delighted

Overall verdict

  • Yes, Delighted is generally considered a good tool for collecting customer feedback and measuring customer satisfaction.

Why this product is good

  • Delighted is known for its simplicity and effectiveness in gathering Net Promoter Score (NPS) data. It offers a user-friendly interface, easy integration with various platforms, and real-time feedback collection. Delighted helps businesses understand customer sentiment and improve their products or services based on the feedback received.

Recommended for

  • Businesses looking to implement NPS surveys quickly and efficiently
  • Companies seeking real-time feedback from customers
  • Organizations that want to integrate feedback tools with existing platforms like Slack, Salesforce, and Shopify
  • Small to medium-sized businesses aiming for a cost-effective customer feedback solution

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

Delighted videos

+ Add

Delighted used by Bonobos

More videos:

  • Demo - NPS Setup in 15 Seconds

assertpy videos

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

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Category Popularity

0-100% (relative to Delighted and assertpy)

Delighted

assertpy

Customer Feedback
100 100%
Customer Feedback
0% 0
Testing
0 0%
Testing
100% 100
Surveys
100 100%
Surveys
0% 0
Python
0 0%
Python
100% 100

User comments

Share your experience with using Delighted and assertpy. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Delighted and assertpy

Delighted Reviews

12 Best SurveySparrow Alternatives With Pricing and Features
A menโ€™s clothing and accessories brand, Bonobos, wanted to know how customers feel about the new shipping process. The brand used a Delighted NPS survey and found that the customers were not happy with the changes.
Source: qualaroo.com

assertpy Reviews

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

Based on our record, Delighted seems to be more popular. It has been mentiond 2 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.

Delighted mentions (2)

  • MSP Feedback Survey / Net Promoter - Third Party Executed
    We've used https://delighted.com and been pretty happy with it. It's sent to customers during "key intersects" (onboarding, after projects, etc.) and after events. The results stream into Teams and we also track/analyze them to improve service. Source: over 4 years ago
  • Creating a simpler NPS, CSAT, CES service like Delighted?
    After seeing a business idea newsletter mention a SaaS that help monitor you NPS score, I decided to look a little more into it. There are a LOT of solutions out there, but they're also wildly expensive since I assume they're targeting larger organizations. One service I found, https://delighted.com, provides simple forms and widgets to collect NPS, CSAT, CES and other and displays the results in a simple... Source: about 5 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 Delighted and assertpy, you can also consider the following products

Survicate - Collect feedback on your website and find out more about your visitors.

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

AskNicely - Collect customer experience feedback on a daily basis and empower your team to take immediate action to drive retention, upgrades, reviews and referrals.

Wootric - Wootric is software that allows apps and websites to take customer satisfaction surveys so that you can properly gauge the popularity and success of your app through the eyes of the people using it. Read more about Wootric.

Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.

UserTesting.com - Usability testing has never been easier. Get videos of real people speaking their thoughts as they use websites, mobile apps, prototypes and more!

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