Software Alternatives, Accelerators & Startups

Trademetria VS assertpy

Compare Trademetria VS assertpy and see what are their differences

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Trademetria logo Trademetria

Trading journal for traders and investors.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Trademetria Landing page
    Landing page //
    2023-05-08
  • assertpy Landing page
    Landing page //
    2022-11-06

Trademetria features and specs

  • Comprehensive Tracking
    Trademetria offers robust tracking of trades, allowing users to easily manage and review their performance across different accounts and brokers.
  • User-Friendly Interface
    The platform is designed with a clean and intuitive interface, making it accessible for traders of all experience levels to navigate their data and tools.
  • Multi-Device Access
    Trademetria provides accessibility across various devices, ensuring users can access their trading information on-the-go via web and mobile applications.
  • Detailed Analytics
    The software delivers in-depth analytics and reports, helping traders identify trends, strengths, and weaknesses in their trading strategies.

Possible disadvantages of Trademetria

  • Learning Curve
    Despite an intuitive interface, there can be a learning curve for users unfamiliar with trading software, requiring time to optimize usage of all features.
  • Subscription Cost
    While offering a range of features, Trademetria requires a subscription, which may be a consideration for budget-conscious users.
  • Limited Free Version
    The free version of Trademetria comes with limitations on the number of trades and features accessible compared to the paid subscriptions.
  • Integration Limitations
    Some users might find limitations in platform integrations with specific brokers or third-party applications, potentially affecting seamless data import.

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

Trademetria videos

Trading Journal Tour - Trademetria

More videos:

  • Review - Trading journal analysis using Trademetria

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 Trademetria and assertpy)
Trading
100 100%
0% 0
Testing
0 0%
100% 100
Finance
100 100%
0% 0
Python
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Trademetria seems to be more popular. It has been mentiond 20 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.

Trademetria mentions (20)

  • I don't pay attention to Greeks at all. Entirely worthless
    The easiest way for a retail guy like you to publicly show performance is to hook up your account to a website like https://trademetria.com/ which tracks it then you can release it public without any personal information being released to the public. These sites also are auditing your returns in the process. So you kill two birds with one stone. Source: about 3 years ago
  • Portfolio Tracking
    Tradervue isn't automated and it looks like it isn't being updated in years. Check out trademetria.com . Syncs with tos and other brokers. Source: over 3 years ago
  • What paid trading journals do you guys use?
    You can try trademetria.com, has many options features including tracking spreads and treating them as one trade not a bunch of separate ones. Tracks cost basis, open pnl and many options related filtering/reporting capabilities. Works with pretty much every US options broker. Source: over 3 years ago
  • Trading Journal recommendation
    a few options comes to mind... kinfo.com, trademetria.com, tradebench.com, all with great free plans. Source: over 3 years ago
  • Looking for a new journaling platform.
    I think you can't find it because you are looking for a trading journal. Online cloud journal might give you some weird search results. There are too many out there. trademetria.com , tradersync and tradervue are the top ones. Free ones are tradebench and tradeinsights. Source: almost 4 years ago
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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 Trademetria and assertpy, you can also consider the following products

TraderSync - Biometric trading journal to trade without emotion

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

TradesViz - An online trade logging platform that does it all! Logging, charting, sharing, trade management, risk analysis and many more! The best trading journal to find and visualize your trading edge.

Stonk Journal - Free trading journal with an AI coach that reviews your trades and helps you improve.

UltraTrader - The #1 Automated Trading Journal For Serious Traders Trusted by 100k+ traders worldwide to sharpen their strategy.

Traders Journal App - Turn trades into insights. Insights into Profit.