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Snowball Analytics VS assertpy

Compare Snowball Analytics VS assertpy and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Snowball Analytics logo Snowball Analytics

Simple and powerful portfolio tracker for investors. Dividend tracker, portfolio performance and quick portfolio rebalancing. Supports thousands of stocks, funds and cryptocurrencies from all over the world.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Snowball Analytics Landing page
    Landing page //
    2022-09-14

Snowball Analytics is an investment tracking app for any thoughtful long-term investor. Get overview of all your investments in one place - portfolio performance, dividends, company fundamentals, benchmarking and more.

๐Ÿ“‹ Lose the spreadsheet โ€“ we make investment tracking easy and hassle-free

๐Ÿ’ฐ All your investments in one place - stocks, crypto, funds, real estate, etc.

๐ŸŒ Multiple currencies and stock exchanges

โฑ๏ธ Easy data import - link your brokerage account in a few minutes (US, EU, Asia, ...). 1000+ brokers supported

๐Ÿ“Š Benchmarking - compare your results with popular funds and indices

๐Ÿช™ Comprehensive dividend analytics, future dividends and our own rating of dividend companies

๐Ÿ–ฑ๏ธ One-click portfolio rebalancing

๐Ÿ“ˆ Company fundamentals

๐Ÿค Community - see how other investors are navigating their portfolio in current market conditions

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

Snowball Analytics

Website
snowball-analytics.com
Pricing URL
Official Snowball Analytics Pricing
$ Details
freemium $7.99 / Monthly (1 portfolio, automatic brokerage connection)
Platforms
Web
Release Date
2022 August
Edit details

assertpy

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

Snowball Analytics features and specs

  • Number of portfolios
    10
  • Number of holdings
    Unlimited
  • Automatic brokerage connection
  • Stocks, Funds, Cryptocurrencies
  • Dividend calendar
  • Returns analytics
  • IRR calculations
  • Benchmarking
  • Portfolio rebalancing
  • Multiple currencies and stock exchnages
  • Custom investments (real estate, deposits)
  • Binance API support
  • Top dividend stocks

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

Snowball Analytics videos

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Snowball Analytics overview

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 Snowball Analytics and assertpy)

Snowball Analytics

assertpy

Finance
100 100%
Finance
0% 0
Testing
0 0%
Testing
100% 100
Investing
100 100%
Investing
0% 0
Python
0 0%
Python
100% 100

User comments

Share your experience with using Snowball Analytics and assertpy. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Snowball Analytics seems to be more popular. It has been mentiond 33 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.

Snowball Analytics mentions (33)

  • Replacement for StockMarketEye?
    Https://snowball-analytics.com has categories, but about $150 a year for multiple portfolios. Source: almost 3 years ago
  • Portfolio rebalancing
    If you're contributing monthly, use those funds to top up. Otherwise, there are online tools you can use to get rebalancing very close. I use https://snowball-analytics.com/ but there are others I'm sure. Source: about 3 years ago
  • Website or app to track all retirement accounts?
    You can try Snowball Analytics. Have been using the free edition for a while now and its OK but its not as comprehensive as other tools. Source: about 3 years ago
  • Dividends across multiple brokerages
    You can use โ€œstock eventsโ€ or https://snowball-analytics.com to manually add your positions from all your brokers and see a total overview. Source: over 3 years ago
  • $150/month milestone! Still not buying schd and jepi (but added OKE and NEE)
    For trading/broker I use M1 Finance. The app on the screenshot is https://snowball-analytics.com/ but itโ€™s not a trading app, itโ€™s just to track dividends and stuff. Source: over 3 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 Snowball Analytics and assertpy, you can also consider the following products

Sharesight - Online stock portfolio tracker that automatically tracks prices, dividends, performance and tax.

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

Kubera - Protect your wealth

getquin - Track all your investments in one place

Portfolio Performance - Stock portfolio tracking

Yahoo! Finance - At Yahoo Finance, you get free stock quotes, up-to-date news, portfolio management resources, international market data, social interaction and mortgage rates that help you manage your financial life.

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