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Plausible.io VS assertpy

Compare Plausible.io VS assertpy and see what are their differences

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Plausible.io logo Plausible.io

Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure ๐Ÿ‡ช๐Ÿ‡บ

assertpy logo assertpy

A straightforward assertion library for Python.
  • Plausible.io Landing page
    Landing page //
    2020-07-07

Plausible Analytics is not designed to be a clone of Google Analytics. It is meant as a simple-to-use replacement and a privacy-friendly alternative that can help many site owners.

  • It's quick, simple to use and understand with all the metrics displayed on one page. Doesn't track hundreds of metrics like Google Analytics does

  • Lightweight script of less than 1 KB so sites load fast. The script is 45 times smaller script than the Google Analytics one

  • Doesn't use cookies so there's no need to worry about cookie banners

  • Doesn't track personal data so it's compliant with GDPR out of the box and you don't need to worry about asking for data consent

  • It's open source with the code available on GitHub so you can even self host exactly the same product free as in beer

  • Unlike Google Analytics, the cloud product is not free as in beer because the business model is subscriptions rather than selling the data of your visitors. Plausible Analytics is bootstrapped without any external funding so the subscription fees help cover the costs and time spent on development.

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

Plausible.io

$ Details
paid Free Trial $9 / Monthly (10,000 pageviews)
Platforms
Web Browser Google Chrome Firefox Safari Wordpress
Release Date
2019 April
Startup details
Country
Estonia

assertpy

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

Plausible.io features and specs

  • Privacy-focused
    Plausible does not collect personal data about your visitors and is fully compliant with GDPR, CCPA, and PECR.
  • Simple to Use
    The user interface is intuitive and easy to navigate, making it accessible for users without technical expertise.
  • Lightweight
    Plausible's script is under 1 KB in size, making it fast to load and reducing the impact on site speed.
  • Open-Source
    The platform is open-source, which allows for community contributions and transparency in how data is handled.
  • Real-Time Data
    Plausible provides real-time analytics, which can be useful for monitoring live events and activities on your site.
  • Affordable Pricing
    Offers competitive pricing models that can be more budget-friendly for small to medium-sized businesses compared to other analytics platforms.

Possible disadvantages of Plausible.io

  • Limited Features
    Lacks some advanced features found in more comprehensive analytics tools like Google Analytics, such as multi-channel funnels and detailed demographic information.
  • No Free Tier
    Plausible does not offer a free tier, which could be an obstacle for very small websites or individual users on a tight budget.
  • Basic Reporting
    The reporting may be too basic for larger enterprises that require more granular and customizable analytics.
  • No App Integration
    Currently, Plausible does not offer integrations with mobile app analytics, limiting its use to web applications.
  • Smaller User Base
    As a relatively new and smaller player in the market, it may not have the extensive user community or third-party support seen with more established platforms.

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 Plausible.io

Overall verdict

  • Plausible.io is generally considered to be a good web analytics tool, especially for those who prioritize privacy and simplicity.

Why this product is good

  • Plausible.io is designed with simplicity and privacy at its core, offering a clean and user-friendly interface without tracking personal data or using cookies. It provides essential analytics without overwhelming users with too much information. This focus on privacy can be particularly appealing in a landscape where data concerns are significant. It is also easy to integrate, offers real-time data, and is open source, allowing for more transparency compared to some competitors.

Recommended for

  • Small to medium-sized website owners
  • Bloggers and content creators
  • Businesses and startups focused on privacy
  • Developers who value open source solutions
  • Users looking for an alternative to Google Analytics with a straightforward setup

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

Plausible.io videos

Cardano Blackboard Series #5: What is plausible deniability?

More videos:

  • Review - How Plausible is the Balkanized America from Crimson Skies? (A Map Analysis)
  • Review - Movie Review - How Plausible is The Martian?

assertpy videos

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

Add video

Category Popularity

0-100% (relative to Plausible.io and assertpy)
Analytics
100 100%
0% 0
Testing
0 0%
100% 100
Web Analytics
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Reviews

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

Plausible.io Reviews

  1. Nikola
    ยท Founder at Hosted Status Page ยท
    Happy Paying User :)

    I've been using plausible since Sep 2019 and never had any doubts about it. It provides me with everything I need related to visitor stats while keeping privacy in first place.

    It doesn't slow down my website loading speed (it's amazing, it's less than 1KB in size!), is not blocked by adblockers since it's not really a tracker tracker, and owners are super cool and they actually respond to every inquiry you could possibly have.

    If you're looking for de-googling your stuff, you can start with Plausible :)

    ๐Ÿ Competitors: Google Analytics, Matomo, Woopra
    ๐Ÿ‘ Pros:    Loading speed|Clean ui|Privacy concisous|Custom domain|Affordable prices|Easy integration|Super simple
  2. Makis
    ยท Senior Software Engineer ยท
    Plausibly simple analytics!

    I tried several analytics tools prior to Plausible, namely Google Analytics and later on Matomo. I found both to be fairly complicated for my usage which is a personal blog. Complicated in the way I had to install and use them. Plausible's simple to set up approach combined with a very clean and inviting user interface was a breath of fresh air. It's simple and clean enough that it actually makes me want to check and analyse my traffic which is a feeling I never thought I'd have having tried alternatives.

    ๐Ÿ Competitors: Google Analytics, Simple Analytics, Matomo
  3. Cesar Reyes
    ยท CEO at Reyes.Pro ยท
    Excellent alternative to google analytics

    It offers clear information about what I really need, without distractions, without advertising and does not slow my site.

    ๐Ÿ Competitors: Google Analytics

Top 5 Plausible Analytics Alternatives in 2024
Looking for an excellent Plausible Analytics alternative? Read on as in this blog we will be exploring the best Plausible alternatives in 2024.
Source: www.putler.com
Top 9 Plausible Analytics alternatives in 2024
Plausible is an analytics platform focused on delivering clear insights into website traffic. By offering essential metrics like page views and referral sources, Plausible aids businesses in making informed decisions to optimize their online presence.
Source: usermaven.com
Top 5 Self-Hosted, Open Source Alternatives to Google Analytics
Use Case Example: An educational blog opts for Plausible to track user engagement metrics without impacting site performance or user privacy.
Source: zeabur.com
Top 5 open source alternatives to Google Analytics
Plausible is a newer kid on the open source analytics tools block. Itโ€™s lean, itโ€™s fast, and only collects a small amount of information โ€” that includes numbers of unique visitors and the top pages they visited, the number of page views, the bounce rate, and referrers. Plausible is simple and very focused.
Source: opensource.com
Privacy-oriented alternatives to Google Analytics
I learned about Plausible just recently, but they deserve to be on top of this list for me. Their platform is completely Open Source on GitHub under the MIT license. I personally also like that itโ€™s written in Elixir.

assertpy Reviews

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

Based on our record, Plausible.io seems to be more popular. It has been mentiond 216 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.

Plausible.io mentions (216)

  • Kill The Cookie Banner
    Side note: thereโ€™s plenty of Analytics tools that donโ€™t require cookies. Plausible (https://plausible.io) is one of them, there are many others. - Source: Hacker News / 22 days ago
  • Chris Banes' Skills Repo: Claude Code Meets Android Development
    Also a small tooling aside โ€” if you're tracking how often skills get used across your team (or just want analytics on your dev blog without the GDPR cookie banner dance), privacy-focused options like Umami or Plausible give you full data ownership and a much lighter footprint than Google Analytics. I migrated two side projects to Umami last year and haven't looked back. - Source: dev.to / 3 months ago
  • Migrating Off Google Analytics: Umami vs Plausible vs Fathom
    So this post is about something I've been chewing on for months but finally moved on: ripping Google Analytics out of three side projects and picking a privacy-focused alternative. Specifically, I'll compare Umami, Plausible, and Fathom โ€” the three I actually evaluated โ€” and walk through the migration steps that worked for me. - Source: dev.to / 3 months ago
  • Google Analytics Alternatives: Umami vs Plausible vs Fathom in 2026
    Plausible is what I recommend when someone wants to set it up and forget about it. It's an EU-based company, the data stays in the EU, and they're very transparent about their infrastructure. - Source: dev.to / 4 months ago
  • Migrating from Google Analytics to Privacy-Focused Alternatives
    Plausible is also open-source with a self-hosted option, but their cloud-hosted product is where most people land. It's polished, opinionated, and genuinely pleasant to use. - Source: dev.to / 4 months 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 Plausible.io and assertpy, you can also consider the following products

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Fathom Analytics - Simple, trustworthy website analytics (finally)

Matomo - Matomo is an open-source web analytics platform

Simple Analytics - The privacy-first Google Analytics alternative located in Europe.

umami - A simple and open-source own your website analytics.