ClickGUARD VS Stackless Python

• Proxy VPN detection
  Identify, flag, and create block rules based on proxy VPN network detection.
• GEO location protection
  Detect and block clicks from networks outside your targeted continent or specific countries.
• Time-on-site conditions
  Post-click analysis based on the amount of time visitors spend on site after clicking on ads.
• Click frequency protection
  Identify, flag, block and label fraud based on unique click and account entity clicks.
• Target frequency protection
  Campaign, Adgroup, keyword, domain, and landing page based target rules.
• Conversion based protection
  Create rules based on converting or non-converting clicks. Easily eliminate repeated visits that never convert.
• Invalid click protection
  Advanced invalid clicks protection that exceeds default one Google Ads is offering.
• Click intensity protection
  Create rules based on the intensity of clicks on campaigns, adgroups or keywords.
• Campaign level protection
  Create and apply rules to specific campaigns within your account.
• Keyword level protection
  Create and apply rules to specific Keyword clicks within your account.
• Threat level classification
  Set rules to identify, flag and block disruptive click patterns.
• Bot detection
  Detect, identify, and block crawler bot traffic based on signature.
• AdGroup level protection
  Create and apply rules to specific AdGroups within your account.
• Device level protection
  Create and apply rules to specific device type clicks within your account.
• IP range level protection
  Create and apply rules to specific IP addresses and IP ranges within your account.
• Forensic reports
  Google Ads click reporting from more than 40 data-points and associated relational details.
• Keyword click reports
  Keyword object analysis reports with relational flags based on unique account rules.
• Device tracking reports
  Individual device ID tracking and post-click behavior analysis reports.
• Scheduled summary reports
  This is an easy way to get the latest stats from your ClickGUARD account.
• IP address and IP range reports
  IP source reporting data with location, threat & quality stats, including IP ranges with associated IP/ISP history.
• Placement source reports
  Google Ads display network analysis with ad placement quality assessment.
• On-demand CSV export
  At any point you are able to grab an on-demand export of data in the CSV format.
• Click quality reports
  Detailed insight into flagged clicks for manual reviews (and refunds) from Google.
• Set search campaign click cap
  Limit the number of Search clicks every user can perform before being blocked.
• Organic traffic monitoring
  See how are organic visitors behaving on your website.
• Ad placements whitelist
  Whitelist placement domains that should never be blocked by ClickGUARD rules.
• Custom duration exclusions
  Set a default or a custom duration for all blocking and excluding actions.
• Set display campaign click cap
  Limit the number of Display clicks every user can perform before being blocked.
• Pausing campaigns
  In extreme conditions of intensive fraud activity system can automatically pause campaigns.
• IP address whitelist
  Assign a list of IP addresses that should never be blocked by ClickGUARD's rules.
• Manage audiences of converters
  Prevent converters from clicking on your ads for a custom time duration or for a specific set of campaigns.
• Website platform integrations
  Easy installation and integration with most dozens of Web / CMS platform.
• Email and Slack notifications
  Receive the most important notifications directly to your email or Slack in real-time.
• WordPress plugin
  Native WordPress integration for fast and easy direct tracking code deployment.
• Custom flagging
  Flags clicks that trigger custom rules as a result of blocking actions.
• Aliases tags
  Assign aliases to common IPs, placements, devices, and other entities.

• Efficient Concurrency
  Stackless Python provides microthreads, also known as tasklets, which offer efficient concurrency by allowing multiple tasks to run in a single thread without the overhead of traditional threading.
• Simplified Code
  The microthreading model can lead to simplified code when compared to multithreading, as it avoids the complexities associated with locks and synchronization primitives.
• Improved Performance
  Due to the avoidance of context switching between OS-level threads, Stackless Python can achieve improved performance for I/O-bound applications.
• Flexibility
  Stackless Python allows developers to pause and resume functions at almost any point, providing great flexibility for creating advanced flow control mechanisms.
• Low Memory Footprint
  Tasklets in Stackless Python are lightweight, leading to a lower memory footprint compared to traditional threading models.

Possible disadvantages

• Compatibility
  Stackless Python may face compatibility issues with certain Python libraries and extensions that are not designed to work with its microthreading model.
• Limited Community and Support
  Stackless Python has a smaller user base compared to standard Python, which can result in limited community support and fewer resources for learning and troubleshooting.
• Platform Limitations
  Some platforms may not fully support or benefit from Stackless Python's features due to differences in underlying system architectures.
• Debugging Challenges
  Debugging can be more challenging in Stackless Python due to its non-standard execution model, requiring developers to understand its unique flow control mechanisms.
• Maintenance and Updates
  Since Stackless Python diverges from the standard Python implementation, it may lag in adopting new features and updates present in the latest Python releases.

Click Fraud Protection for Google Ads by ClickGUARD

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Tracking ClickGUARD since Mar 2021.

• We Burned Down Players’ Houses in Ultima Online

  Client uses a ton of Python too, mind you they have a very special interpreter. https://github.com/stackless-dev/stackless/wiki/. - Source: Hacker News / about 4 years ago

• How does Go "know" when a goroutine hits IO and can switch to another goroutine? Why don't other languages like Javascript/Python do this?

  For the sake of “well, actually” completionism, this is possible in Python with stackless or the gevent library and some hacks, but when Guido and pals backed the standard awful way of doing async in commercial languages (async/await and... Source: about 4 years ago

• How to Choose the Right Python Concurrency API

  Is stackless still an alternative? (It used to be quite hot 1.5 decade ago) https://github.com/stackless-dev/stackless/wiki/. - Source: Hacker News / about 4 years ago