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Graphweaver VS assertpy

Compare Graphweaver VS assertpy and see what are their differences

Cyclr
Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. sponsored
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Graphweaver logo Graphweaver

Turn multiple data sources into a single GraphQL API

assertpy logo assertpy

A straightforward assertion library for Python.
  • Graphweaver Landing page
    Landing page //
    2023-08-23

Graphweaver is a GraphQL Gateway that can connect many data sources together to create an API. It can be used to create a headless CMS, an API Gateway, or used as a Backend for mobile apps.

Why?

We consistently find that everyone has lots of sources of truth. You know, CRM holding customer data, accounting systems handling invoices, and more scattered across different SaaS platforms and databases? It's a real pain to sync it all up!

In the past we used to copy data from everywhere to the DB, but that always breaks at some point.

Well, after years of grappling with this issue, we wanted a way to easily build a single GraphQL API in front of all those sources. An API that allows you to execute queries that even span across datasources (give me DB records where customer in CRM name is "Bob"), and also allows you to administer your data all from one place.

That's why we built Graphweaver. We've been using it on our projects for about a year now and think you'll love it too!

Features

๐Ÿ“ Code-first GraphQL API: Save time and code efficiently with our code-first approach. ๐Ÿš€ Built for Node in Typescript: The power of Typescript combined with the flexibility of Node.js. ๐Ÿ”— Connect to Multiple Datasources: Seamlessly integrate Postgres, MySql, Sqlite, REST, and more. ๐ŸŽฏ Instant GraphQL API: Get your API up and running quickly with automatic queries and mutations. ๐Ÿ”„ One Command Import: Easily import an existing database with a simple command-line tool.

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

Graphweaver

Website
graphweaver.com
$ Details
Release Date
2023 August
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assertpy

Website
github.com
$ Details
-
Release Date
-
Categories
#Testing #Python
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Graphweaver features and specs

  • Integration
    Graphweaver allows for the integration of multiple data sources, providing a unified view and ease of data management.
  • Efficiency
    It enhances the efficiency of data retrieval by using GraphQL, which minimizes data over-fetching.
  • Flexibility
    Graphweaver supports flexible query structures, which can be tailored to specific data needs and requirements.
  • Developer Experience
    Provides a developer-friendly experience with comprehensive documentation and tools to streamline the development process.

Possible disadvantages of Graphweaver

  • Complexity
    The initial setup and configuration can be complex, especially for developers who are not familiar with GraphQL or integrating diverse data sources.
  • Learning Curve
    There might be a steep learning curve for new users who are not accustomed to using GraphQL or related technologies.
  • Resource Intensive
    Integrating many data sources might demand higher computational resources, which could increase operational costs.

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

Graphweaver videos

+ Add

Graphweaver live demo at the Atlassian head-office for SydJS

More videos:

  • Demo - Quick Start

assertpy videos

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

Add video

Category Popularity

0-100% (relative to Graphweaver and assertpy)

Graphweaver

assertpy

GraphQL
100 100%
GraphQL
0% 0
Testing
0 0%
Testing
100% 100
API-first CMS
100 100%
API-first CMS
0% 0
Python
0 0%
Python
100% 100

User comments

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Social recommendations and mentions

Based on our record, Graphweaver seems to be more popular. It has been mentiond 1 time 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.

Graphweaver mentions (1)

  • Getting started creating a web app with multiple data sources? Graphweaver!
    Weโ€™re a small dev team based in Sydney and in between client projects weโ€™ve been working on our own open-source tool, Graphweaver. Graphweaver allows you to combine multiple data sources (Databases, Rest APIs, Saas platforms) and expose a single GraphQL API. Itโ€™s a bit like Hasura or Step Zen but with more of a code-first flexibility. It can take your database and with a single import command, generate your code... Source: almost 3 years ago

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 Graphweaver and assertpy, you can also consider the following products

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

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

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

GraphQL Hive - Open Source GraphQL Federation Platform

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Grafbase - Unify the data layer with GraphQL

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