Open Capture and Analytics Tool. If you want to know how well a game is performing on your machine in real-time with low overhead. It supports all major APIs on Windows – Direct3D® 11, 12 and Vulkan® – and can show an in-game overlay
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.
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Which is more popular?
Based on our record, OCAT
seems to be more popular. It has been mentioned
4 times
since March 2021.
social mentions
4 vs 0
Device Management popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Open Source OCAT is an open-source project, meaning that its source code is available for anyone to view, modify, and improve. This fosters community contributions and greater transparency.
Cross-Platform Support OCAT supports a wide range of graphics APIs, including DirectX, Vulkan, and OpenGL, offering flexibility for users across different platforms and game titles.
Real-Time Monitoring OCAT provides real-time monitoring of frame times and other performance metrics, allowing users to analyze game performance as it happens.
Customizable Overlays The tool allows for customizable overlays that display performance metrics during gameplay, which can be tailored to show the information relevant to the user.
Comprehensive Logging OCAT can log detailed performance data for later analysis, helping users to dig deeper into performance bottlenecks and optimization opportunities.
Possible disadvantages
Complex Setup The initial setup and configuration of OCAT might be complex for users unfamiliar with performance monitoring tools, requiring a learning curve.
Limited User Interface The user interface of OCAT might not be as polished or intuitive as some commercial alternatives, potentially making it less accessible for some users.
Resource Intensive Running OCAT in the background can introduce a small amount of performance overhead, which might affect the accuracy of the measurements on lower-spec systems.
Windows Focus While supporting multiple graphics APIs, OCAT is mostly tailored for Windows environments, which might limit its utility for users wanting to monitor performance on other operating systems.
Lightweight C++ implementation cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
Redis-backed reliability Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
Inspired by proven design (asynq) The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
Native integration for C++ projects For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
Open source and inspectable Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.
Possible disadvantages
Limited maturity and battle-testing Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
Smaller community and ecosystem Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
Documentation gaps As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
C++ build and dependency complexity Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
Fewer built-in features and tooling cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.
Analysis
An editorial look at what each product does well and who it suits.
OCATcppq
No analysis of OCAT yet.
Overall verdict
cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.
Why this product is good
Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
Good fit for projects already using Redis, minimizing the need for additional infrastructure
Straightforward API for enqueueing and processing background jobs in C++ applications
Recommended for
C++ developers needing a background job/task queue without adopting a heavyweight message broker
Projects already using Redis as part of their infrastructure
Small to medium-sized applications requiring asynchronous task processing
Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
Developers familiar with asynq (Go) looking for a similar pattern in C++
Prototyping or hobby projects where a minimal task queue solution is sufficient
The Open Capture and Analytics Tool (OCAT) for D3D11, D3D12, and Vulkan provides an FPS overlay and performance assessment – GPUOpen-Tools/ocat. For simplicity of use, users can assign hotkeys that display various...
However, OCAT does not have a user friendly interface like Nzxt CAM, but it is easy to find any information. The in-game overlay OCAT feature can display information in multiple locations on your computer screen based...
Recommendations tracked on public social media and blogs since March 2021.
OCAT4 mentionscppq0 mentions
RTX 3090 to 4080: results in DCS
If you want free, easy benchmarking for DCS VR with super-useful information, you can use OCAT which will give you a frametime in average, 95th and 99th percentiles in a simple spreadsheet. Thanks for the super interesting benchmark! (=.
Source:
almost 4 years ago
If you want to record VR frametimes, OCAT.
If you just want framerates (min/max/avg) and percentiles (99th/90th/etc), Nvidia FrameView.
Source:
almost 5 years ago
Ryzen RAM OC test with de-synched Infinity Fabric - in search of better RAM performance
Benchmarking games with no dedicated benchmark is a little weird, but you can get the statistics via CapFrameX or MSI Afterburner or OCAT or FCAT.
Source:
almost 5 years ago
CPU-Z is a freeware that gathers information on some of the main devices of your system :
Processor name and number, codename, process, package, cache levels.
Open Hardware Monitor
MSI Afterburner
FPS Monitor
AgaueEye
MangoHUD
CPU-Z
Speccy
