Software Alternatives, Accelerators & Startups

Phish Report VS assertpy

Compare Phish Report 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.

Phish Report logo Phish Report

The tools your team need to combat brand impersonation

assertpy logo assertpy

A straightforward assertion library for Python.
  • Phish Report Landing page
    Landing page //
    2022-05-14
  • assertpy Landing page
    Landing page //
    2022-11-06

Phish Report

$ Details
freemium $159 / Monthly (Unlimited takedowns)
Platforms
Web Browser
Release Date
2021 March

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Categories

Phish Report features and specs

  • User-friendly Interface
    Phish Report provides a simple and easy-to-use interface, making it accessible for users with varying levels of technical expertise.
  • Comprehensive Phishing Detection
    The service effectively identifies and reports phishing sites by using a combination of automated systems and user reports, enhancing overall detection accuracy.
  • Community-driven
    It leverages a strong community of users who actively contribute by reporting phishing sites, thus continuously improving the database of known phishing threats.
  • Fast Updates
    Phish Report is regularly updated with new phishing threats, ensuring users have access to the latest information for better protection against scams.

Possible disadvantages of Phish Report

  • Reliance on User Contributions
    The effectiveness of Phish Report heavily depends on user contributions, which can vary in quality and volume, potentially leading to gaps in coverage.
  • False Positives
    As with many anti-phishing tools, there is a risk of false positives, where legitimate sites may be incorrectly flagged as phishing sites, causing inconvenience to users.
  • Limited to Phishing
    While effective for phishing, Phish Report may not address other types of cybersecurity threats, necessitating the use of additional tools for comprehensive protection.

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

Category Popularity

0-100% (relative to Phish Report and assertpy)
Cyber Security
100 100%
0% 0
Testing
0 0%
100% 100
Security & Privacy
100 100%
0% 0
Python
0 0%
100% 100

User comments

Share your experience with using Phish Report 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, Phish Report seems to be more popular. It has been mentiond 27 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.

Phish Report mentions (27)

  • Pinned: Introduction Thread
    When you see a site you wanna bust, use phish.report to open a case before posting it here for maximum safety. Source: over 2 years ago
  • Keep an eye out for Steam based phishing stuff.
    Https://phish.report/cases/case_d6c45gmbxp1c This phish.report link is to the case I have going against one! Source: over 2 years ago
  • Call to Action: Fight Back to Scams
    Some will be web forms that you will need to fill out, others will be emails that you will have to send. All of these, phish.report will help you through it. If you have any questions or need help with something, I will try to get to as many comments as I can. But, I am only one person, and I will have many scam DMs to respond to. Source: about 3 years ago
  • ROUND 2!!! NOW!
    If you would like to stand up against the website itself, you can use https://phish.report to start a takedown request. All of the tools you need will be there. Follow the instructions to email the people that have the power to remove this from the internet. Source: about 3 years ago
  • My mam got scammed โ‚ฌ17k ๐Ÿ˜ฃ & her story to try get it back ๐Ÿคž๐Ÿผ
    I took one of those eflow phishing sites down back in May... It was a nightmare for namesilo to take it as a phishing website. Also, eflow (also mentioned on the same tweet) couldn't care less... Instead of confirming that site wasn't theirs and it was trying to impersonate their legit site, they replied with a standard message, leading to their real website (like if I didn't know that wasn't legit)... Best piece... Source: about 3 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 Phish Report and assertpy, you can also consider the following products

URLscan.io - urlscan.io is a free service to scan and analyse websites. When a URL is submitted to urlscan.io, an automated process will browse to the URL like a regular user and record the activity that this page navigation creates.

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

Doppel.com - By pairing cutting-edge AI with expert analysis, we outpace threats like phishing, impersonation, and disinformationโ€”delivering comprehensive coverage, speed, and precision.

isitphish - The real-time phishing detection API

VirusTotal - VirusTotal is a free service that analyzes suspicious files and URLs and facilitates the quick...

Dralvia Autonomous Security - Dralvia helps teams investigate phishing URLs, risky domains, smart contracts, wallets, repositories, emails, and endpoint signals from one evidence-backed security platform