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Toucan Toco VS assertpy

Compare Toucan Toco 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

Toucan Toco logo Toucan Toco

Toucan is a customer-facing analytics platform that empowers companies to drive engagement with data storytelling. With the best customizable end-user experience across any device, over 4 million Toucan stories are viewed each year.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Toucan Toco Landing page
    Landing page //
    2023-05-22

Toucan is a customer-facing analytics platform that empowers companies to drive engagement with data storytelling. Features include:

  1. Guided data visualization, allowing the user to focus on the story to be told rather than on chart selection, layout, etc.

  2. An App Gallery that provides dozens of starter apps (including sample data) that a user can use either as is or as the starting point for creating a customized set of dashboards

  3. Embedding can be performed by even novice users and is available as web components or iFrames

  4. Deployment to all modes โ€” desktop web, smartphones, tablets, wall displays, and kiosks โ€” is done in just a few clicks and with no extra development work

  5. Hundreds of included interactive and animated charts combined with a thoroughly modern UI make Toucan one of the best-looking platforms on the market

  6. Hundreds of included connectors make adding data sources โ€” cloud, on-premises, stored, or streaming โ€” quick and easy

As a result, Toucan has been rated the #1 Easiest to Use Platform on G2 Crowd and is used 3x the industry average.

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

Toucan Toco features and specs

  • Guided Analytics
    Toucan makes analytics accessible to business users by provisioning the guidance they need to use data for decision-making without the need for training. Business users are walked through the selection of data, charts, and layouts quickly so that the focus is on the data story, not the design mechanics. All charts and visualizations contain critical context such as definitions and sources as well as actions such as annotations and collaboration either inside Toucan or in tools like Slack or MS Teams. Best For: Business users that need to see consistent analytics to track performance rather than perform ad hoc data exploration
  • Embedded Analytics
    The Toucan platform allows easy embedding into SaaS products using either web components or iFrames and can be performed by even non-expert users. Changes can be moved from staging to production with a single toggle and the platform contains robust adoption management tools for on-boarding and the automation of core user management tasks. Extensive white-labeling customization capabilities allow customers to make the end experience look and feel like an extension of the company brand and include color palettes, typefaces, languages, logos, and background imagery. Best For: Product teams that want to extend analytics to customers or partners, including collaboration, annotation, and storytelling capabilities without extensive development
  • Easy Data Connections
    Toucan includes hundreds of connectors for all manner of data sources including Snowflake, MongoDB, Excel, Salesforce, and others. Connectors are easily configured by business users and no code is needed to perform data connections. Best For: Business users that need to add new data sources with the need for IT support
  • Guided Data Preparation
    Toucan's YouPrepโ„ข data pipeline allows users to perform joins, slices, pivots, & melts easily and code-free. Ad hoc transformations are supported for evolution computation, date aggregation, ranks, and other critical statistics as are complex, multi-way joins. Python can also be used to extend Toucanโ€™s data prep capabilities. Best For: Business users that need to prepare data by summing, aggregating, or creating new metrics but donโ€™t have time to wait for technical support or training on complex specialist tools

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

Toucan Toco videos

+ Add

Toucan: Powerfully Easy Analytics for Business Users

More videos:

  • Demo - Toucan Distribution Center
  • Demo - Data Storytelling with Toucan

assertpy videos

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Category Popularity

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User comments

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Reviews

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

Toucan Toco Reviews

5 Metabase Alternatives You Don't Need a PhD to Use
Fully cloud-based, the platform was designed with one goal in mind: reduce the complexity of bringing insights from data to business users. From data connections to the distribution of insights anywhere they're needed, Toucan makes it easy and, as a result, sees the highest user adoption in the industry (80+%).
Source: www.toucantoco.com

assertpy Reviews

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What are some alternatives?

When comparing Toucan Toco and assertpy, you can also consider the following products

Phocas - Data analytics software for businesses in wholesale distribution, manufacturing, and retail.

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

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

Yellowfin - Yellowfin is a leading Business intelligence Software vendor. Find out how we are making Business Intelligence easy.

Omniscope - Visokio is developer of Omniscope - Business Intelligence app for high-performance data processing, analytics and data visualisation.

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