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Average Ratings 0 Ratings
Description
SDRR was created to fulfill nearly all of your saturation needs, offering an extensive array of controls that allow you to tailor the saturation's character to your exact preferences. This versatile tool features four primary modes—TUBE, DIGI, FUZZ, and DESK—that respond dynamically to your input signal. Each mode showcases its distinct crosstalk behavior, which can either be turned off or accentuated to suit your requirements. Additionally, SDRR includes a one-of-a-kind RMS level difference metering mode that simplifies the process of level matching. This powerful plugin can serve multiple purposes: acting as a saturation unit, a compressor, an EQ, a bit-crusher, a subtle stereo widener, or even imparting movement to your tracks through the DRIFT control. With SDRR, you can enhance your music by adding warmth, depth, and character. Moreover, be sure to explore the complimentary IVGI, which functions as SDRR's smaller counterpart, drawing inspiration from the DESK mode. SDRR is compatible with both macOS and Windows, all bundled into a single license for your convenience. This makes it an exceptionally valuable addition to any producer's toolkit.
Description
Go-fuzz serves as a coverage-guided fuzzing tool designed specifically for testing Go packages, making it particularly effective for those that handle intricate inputs, whether they are textual or binary in nature. This method of testing is crucial for strengthening systems that need to process data from potentially harmful sources, such as network interactions. Recently, go-fuzz has introduced initial support for fuzzing Go Modules, inviting users to report any issues they encounter with detailed descriptions. It generates random input data, which is often invalid, and the function must return a value of 1 to indicate that the fuzzer should elevate the priority of that input in future fuzzing attempts, provided that it should not be stored in the corpus, even if it uncovers new coverage; a return value of 0 signifies the opposite, while other values are reserved for future enhancements. The fuzz function is required to reside in a package that go-fuzz can recognize, meaning the code under test cannot be located within the main package, although fuzzing of internal packages is permitted. This structured approach ensures that the testing process remains efficient and focused on identifying vulnerabilities in the code.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
€23 one-time payment
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Klanghelm
Founded
2011
Country
Germany
Website
klanghelm.com/contents/products/SDRR.html
Vendor Details
Company Name
dvyukov
Website
github.com/dvyukov/go-fuzz