Search Results for "collector"
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Showing 180 open source projects for "collector"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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OpenTelemetry Collector
OpenTelemetry Collector
The OpenTelemetry Collector offers a vendor-agnostic implementation on how to receive, process, and export telemetry data. In addition, it removes the need to run, operate, and maintain multiple agents/collectors in order to support open-source telemetry data formats (e.g. Jaeger, Prometheus, etc.) to multiple open-source or commercial back-ends. -
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OpenTelemetry Collector distributions
OpenTelemetry Collector Official Releases
High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of APIs, SDKs, and tools. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. Create and collect telemetry from your services and software, then forward it to a variety of analysis tools. OpenTelemetry integrates with many popular libraries and frameworks, and supports... -
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Boehm-Demers-Weiser Garbage Collector
The Boehm-Demers-Weiser conservative C/C++ Garbage Collector
The Boehm-Demers-Weiser conservative garbage collector can be used as a garbage collecting replacement for C malloc or C++ new. It allows you to allocate memory basically as you normally would, without explicitly deallocating memory that is no longer useful. The collector automatically recycles memory when it determines that it can no longer be otherwise accessed. The collector is also used by a number of programming language implementations that either use C as intermediate code, want to facilitate easier interoperation with C libraries, or just prefer the simple collector interface. ... -
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Grafana Alloy
OpenTelemetry Collector distribution with programmable pipelines
Grafana Alloy is an open source OpenTelemetry Collector distribution with built-in Prometheus pipelines and support for metrics, logs, traces, and profiles. Grafana Alloy is Grafana Labs’ distribution of the OpenTelemetry Collector. It is an OTLP-compatible collector with built-in Prometheus optimizations that also support signals across metrics, logs, traces, and profiles. Alloy was started at Grafana Labs and announced at GrafanaCON in 2024. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Scala Native
Your favorite language gets closer to bare metal
...Scala Native requires Clang, which is part of the LLVM toolchain. The recommended LLVM version is the most recent available for your system provided that it works with Scala Native. Scala Native uses the Immix garbage collector by default. You can use the Boehm garbage collector instead. If you chose to use that alternate garbage collector both the native library and header files must be provided. -
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mtail
Extract internal monitoring data from application logs
...It fills a monitoring niche by being the glue between applications that do not export their own internal state (other than via logs) and existing monitoring systems, such that system operators do not need to patch those applications to instrument them or writing custom extraction code for every such application. The extraction is controlled by mtail programs which define patterns and actions. Metrics are exported for scraping by a collector as JSON or Prometheus format over HTTP, or can be periodically sent to a collectd, StatsD, or Graphite collector socket. Precompiled binaries for released versions are available in the Releases page on Github. Using the latest production release binary is the recommended way of installing mtail. -
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Grafana Agent
Vendor-neutral programmable observability pipelines
Grafana Agent is an OpenTelemetry Collector distribution with a configuration inspired by Terraform. It is designed to be flexible, performant, and compatible with multiple ecosystems such as Prometheus and OpenTelemetry. Grafana Agent is based on components. Components are wired together to form programmable observability pipelines for telemetry collection, processing, and delivery. -
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StreamEx
Enhancing Java Stream API
This library defines four classes, StreamEx, IntStreamEx, LongStreamEx, DoubleStreamEx which are fully compatible with Java 8 stream classes and provide many additional useful methods. Also EntryStream class is provided which represents the stream of map entries and provides additional functionality for this case. Finally, there are some new useful collectors defined in MoreCollectors class as well as primitive collectors concept. -
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Coverlet
Cross platform code coverage for .NET
...Check the changelog to understand if the documented feature you want to use has been officially released. Coverlet is integrated into the Visual Studio Test Platform as a data collector. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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phantomas
Headless Chromium-based web performance metrics collector
Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). -
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JMX Exporter
A process for exposing JMX Beans via HTTP for Prometheus consumption
JMX to Prometheus exporter: a collector that can configurable scrape and expose mBeans of a JMX target. This exporter is intended to be run as a Java Agent, exposing a HTTP server and serving metrics of the local JVM. It can be also run as a standalone HTTP server and scrape remote JMX targets, but this has various disadvantages, such as being harder to configure and being unable to expose process metrics (e.g., memory and CPU usage). -
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FaucetPay-Bitcoin-Faucet-Collector
A fully functional Bitcoin faucet collector that automatically claims
...Watch as it claims Bitcoin from thousands of faucets. Withdraw your earnings once you reach the minimum balance. Whether you're new to Bitcoin faucets or a seasoned collector, this tool will save you time and maximize your earnings. Don't forget to like, subscribe, and hit the bell icon for more updates! -
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Carp
A functional, systems programming language with linear types
Carp is a statically typed, functional programming language designed for real-time and systems programming. It features a Lisp-like syntax, strong compile-time checks, and linear type semantics that ensure memory safety without a garbage collector. Carp targets C as its backend, generating performant and predictable native code while offering functional abstractions and interactive development via REPL. -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
Perfetto is a production-grade tracing platform for Android, Linux, and Chrome that captures extremely detailed information about what a system is doing over time. It’s designed around a low-overhead producer/consumer model: instrumented components (“producers”) write binary events into shared memory buffers and a collector (“service”) reliably streams them to storage. The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. ... -
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Apache SkyWalking Java Agent
The Java agent for Apache SkyWalking
SkyWalking-Java: The Java Agent for Apache SkyWalking, which provides native tracing/metrics/logging abilities for Java projects. SkyWalking: an APM(application performance monitor) system, specially designed for microservices, cloud-native and container-based (Docker and Kubernetes) architectures. -
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Rust Programming Language
Empowering everyone to build reliable and efficient software
The Rust Programming Language is a language that empowers you to build reliable and efficient software. It runs blazingly fast and is memory-efficient, so it can power performance-critical services and run on embedded devices. It has a rich type system and ownership model, ensuring both thread and memory safety. Consisting of a standard library, great documentation and a friendly compiler, plus a top-notch build tool, package manager, auto-formatter and many other great tools, it’s the... -
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Monitorix
Monitorix is a free, open source, lightweight system monitoring tool
...It has been created to be used under production Linux/UNIX servers, but due to its simplicity and small size can be used on embedded devices as well. It consists mainly of two programs: a collector, called monitorix, which is a Perl daemon that is started automatically like any other system service, and a CGI script called monitorix.cgi. Monitorix includes its own HTTP server built in (which is listening by default on port 8080/TCP) to see the statistics graphs, so you aren't forced to install a third-party web server to use it. ... -
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undici
An HTTP/1.1 client, written from scratch for Node.js
...Garbage collection in Node is less aggressive and deterministic (due to the lack of clear idle periods that browsers have through the rendering refresh rate) which means that leaving the release of connection resources to the garbage collector can lead to excessive connection usage, reduced performance (due to less connection re-use), and even stalls or deadlocks when running out of connections. -
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observer_cli
Visualize Erlang/Elixir Nodes On The Command Line
...Increments are values that are mostly useful when compared to a previous one to have an idea of what they're doing because otherwise, they'd never stop increasing: bytes in and out of the node, number of garbage collector runs, words of memory that were garbage collected, and the global reductions count for the node. Total scheduler utilization will equal 1.0 when all schedulers have been active all the time between the two refresh intervals. The result being that there is a decent chunk of CPU usage that would be mostly free for scheduling actual Erlang work (assuming the schedulers are busy waiting more than trying to select tasks to run). -
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PHP Debug Bar
Debug bar for PHP
...The DebugBar uses DataCollectors to collect data from your PHP code. Some of them are automated but others are manual. Use the DebugBar like an array where keys are the collector names. Includes generic data collectors and collectors for well-known libraries. Easily create your own collectors and their associated view in the bar. DebugBar is very easy to use and you can add it to any of your projects in no time. -
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Alibaba iLogtail
Fast and Lightweight Observability Data Collector
iLogtail was born for observable scenarios and has many production-level features such as lightweight, high performance, and automated configuration, which are widely used internally by Alibaba Group and tens of thousands of external Alibaba Cloud customers. You can deploy it in physical machines, Kubernetes and other environments to collect telemetry data, such as logs, traces and metrics. Supports a variety of Logs, Traces, and Metrics data collection, and is friendly to container and... -
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MemGuard
Secure software enclave for storage of sensitive information in memory
...The scheme used also defends against cold-boot attacks. Memory allocation bypasses the language runtime by using system calls to query the kernel for resources directly. This avoids interference from the garbage collector. Buffers that store plaintext data are fortified with guard pages and canary values to detect spurious accesses and overflows. The effort is taken to prevent sensitive data from touching the disk. This includes locking memory to prevent swapping and handling core dumps. Kernel-level immutability is implemented so that attempted modification of protected regions results in an access violation. -
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jsii
jsii allows code in any language to naturally interact with JavaScript
...A class library written in TypeScript can be used in projects authored in TypeScript or Javascript (as usual), but also in C# (and other languages from the .NET family), Go, Java, Python, etc. More languages will be added in the future! Due to JSON marshaling costs and the absence of a distributed garbage collector feature, jsii modules are best suited for development and build tools, as opposed to performance-sensitive or resource-constrained applications. By compiling our source module using jsii, we can now package it as modules in one of the supported target languages. Each target module has the exact same API as the source. This allows users of that target language to use Greeter like any other native type. -
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GoCV
Go package for computer vision using OpenCV 4 and beyond
...CV software typically processes video images, then uses the data to extract information in order to do something useful. Since memory allocations for images in GoCV are done through C based code, the go garbage collector will not clean all resources associated with a Mat. As a result, any Mat created must be closed to avoid memory leaks. -
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Scalytics Open Intelligence - OSINT
Open OSINT stack for monitoring, analysis, and risk detection
EUOSINT is the open-source edition of the OSINT pipeline built by Scalytics for real-world intelligence monitoring, situation analysis, and risk detection. It is not a toy dashboard or a loose script bundle. It is a packaged operational stack with a web interface, a Go-based collector runtime, configurable ingestion and refresh cadence, Docker-first deployment, and local or server installation options. The public release removes non-public and protected integrations while preserving the pipeline structure and deployment model that make the system usable in practice. EUOSINT is built for teams that need continuous monitoring, reproducible installs, and a base they can extend for their own intelligence and security workflows.
