Canarykit vs Screpy

Struggling to choose between Canarykit and Screpy? Both products offer unique advantages, making it a tough decision.

Canarykit is a Security & Privacy solution with tags like security, testing, automation, open-source.

It boasts features such as Modular architecture, Built-in plugins for common security tests, Customizable scanning engine, REST API for automation, Web UI for managing scans, Integrations with popular tools like Nmap, sqlmap, etc, Support for headless browser testing, Extensible plugin system, Built on Python 3 and Docker and pros including Open source and free, Active development community, Easy to extend and customize, Integrates security into CI/CD pipelines, Reduces manual security testing overhead, Modular architecture allows flexible deployments.

On the other hand, Screpy is a Development product tagged with python, webscraping, dataextraction.

Its standout features include Scrapes dynamic JavaScript pages, Simple API for extracting data, Built-in caching for responses, Supports proxies and custom headers, Handles pagination and crawling, Built on top of Requests and Parsel libraries, and it shines with pros like Easy to learn and use, Lightweight and fast, Open source and free, Good documentation, Active community support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Canarykit

Canarykit

Canarykit is an open-source platform for automating security tests and monitoring. It allows developers and security teams to easily build web security scanners, pentest tools, and monitoring services. It offers a framework for security automation and orchestration.

Categories:
security testing automation open-source

Canarykit Features

  1. Modular architecture
  2. Built-in plugins for common security tests
  3. Customizable scanning engine
  4. REST API for automation
  5. Web UI for managing scans
  6. Integrations with popular tools like Nmap, sqlmap, etc
  7. Support for headless browser testing
  8. Extensible plugin system
  9. Built on Python 3 and Docker

Pricing

  • Open Source

Pros

Open source and free

Active development community

Easy to extend and customize

Integrates security into CI/CD pipelines

Reduces manual security testing overhead

Modular architecture allows flexible deployments

Cons

Requires technical expertise to setup and use

Not as feature rich as commercial products

Limited documentation and support resources

Not ideal for non-technical users


Screpy

Screpy

Screpy is an open-source web scraping framework for Python. It provides a simple API for extracting data from websites, handling JavaScript pages, caching responses, and more. Ideal for basic web scraping tasks.

Categories:
python webscraping dataextraction

Screpy Features

  1. Scrapes dynamic JavaScript pages
  2. Simple API for extracting data
  3. Built-in caching for responses
  4. Supports proxies and custom headers
  5. Handles pagination and crawling
  6. Built on top of Requests and Parsel libraries

Pricing

  • Open Source
  • Free

Pros

Easy to learn and use

Lightweight and fast

Open source and free

Good documentation

Active community support

Cons

Limited to Python only

Not ideal for large scale scraping

Lacks some advanced features like browser emulation