Search Results for "throughput" - Page 2
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Showing 77 open source projects for "throughput"
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1
Light-4J
A fast, lightweight and more productive microservices framework
...In 2014, I realized that the IT industry was moving from Monolithic to Microservices and from on-premise data centers to the public clouds. To reduce the production cost for my applications, I need to find a lightweight platform that has a small memory footprint, high throughput, and low latency in Java. Java EE and Spring/Spring Boot are too heavy to be considered. Other lightweight Java platforms all have different issues on the separation between the business logic and technical cross-cutting concerns. Moreover, they are not cloud-native or designed for container/cloud. -
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Apache Flink
Stream processing framework with powerful stream
Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level... -
3
Grafbase
The Grafbase GraphQL Federation Gateway
...By supporting GraphQL federation standards, the platform enables teams to combine multiple subgraphs or services into a unified schema that clients can query as a single endpoint. Grafbase is designed for large-scale production environments, emphasizing high throughput, low latency, and efficient resource usage through its Rust implementation. The system also includes tools for schema governance, API lifecycle management, and collaboration workflows, helping engineering teams safely evolve complex APIs over time. -
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cloudflare-speed-cli
CLI for internet speed test via cloudflare
cloudflare-speed-cli is a Rust-based command-line internet speed testing tool that interfaces with Cloudflare’s public speed test endpoints, letting users measure download and upload throughput, latency, and more from a terminal. It presents results in an interactive text-user-interface (TUI) that charts real-time metrics as tests run, making it easy to visually inspect performance trends without leaving the console. The tool also stores historical test results and can export measured data as structured JSON for scripting, logging, or integration with automation tools. ... -
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5
TensorStore
Library for reading and writing large multi-dimensional arrays
...Transactional semantics allow atomic updates and consistent snapshots, which is essential for large, shared datasets used by ML and scientific workflows. The library is engineered for scalability—background caching, chunk sharding, and retryable operations keep throughput high even over unreliable networks. With language bindings, it fits into Python-heavy analysis pipelines while retaining a fast C++ core. -
6
Honggfuzz
Security oriented software fuzzer
honggfuzz is a general-purpose, high-performance fuzzer that mixes coverage feedback with practical crash triage to uncover memory-safety and logic bugs. It supports multiple fuzzing modes—stdin, file, and networking—so targets can be exercised the same way they run in production. Instrumentation via compiler hooks or hardware/perf counters guides mutations toward previously unseen edges, while persistent mode keeps the target process alive to amortize startup costs. The tool integrates... -
7
Smallpond
A lightweight data processing framework built on DuckDB and 3FS
...Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. Because the storage layer (3FS) is optimized for random access and high throughput, smallpond can shuffle data, repartition, and manage intermediate results across nodes. -
8
Fastify
Fast and low overhead web framework, for Node.js
...Fastify ships with thoughtful defaults like structured logging via Pino and AJV for schema validation, and it has first-class TypeScript types. The result is a server stack that scales to high throughput while remaining easy to reason about in production. -
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Isaac ROS Visual SLAM
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Discover a faster, easier way to build advanced AI robotics applications with the NVIDIA Isaac™ ROS collection of accelerated computing packages and AI models, bringing NVIDIA acceleration to ROS developers everywhere. Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated to... -
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10
Devtron
Tool integration platform for Kubernetes
...Provides deployment metrics like; deployment frequency, lead time, change failure rate, and mean-time recovery. Seamlessly integrates with Grafana for continuous application metrics like CPU and memory usage, status code, throughput, and latency on the dashboard. -
11
DALI
A GPU-accelerated library containing highly optimized building blocks
...DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. -
12
ElasticJob
Distributed scheduled job framework
...It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and efficiency improvement. Job processing capacity is flexible and scalable with the allocation of resources. Execute job on suitable time and assigned resources. Aggregation same job to same job executor. Append resources to newly assigned jobs dynamically. Using ElasticJob can make developers no longer worry about the non-functional requirements such as jobs scale out, so that they can focus more on business coding. -
13
Workerman
An asynchronous event driven PHP socket framework
...It has many high-performance components such as asynchronous Mysql, asynchronous Redis, asynchronous Http, MQTT Internet of Things client, and asynchronous message queue. Based on the high-performance Epoll event network library, a single machine can support millions of concurrent connections, with a long connection throughput of up to 36W/S. Objects such as PHP database can be resident in memory, reducing analysis and compilation and network overhead. -
14
XLS
XLS: Accelerated HW Synthesis
...XLS also provides tooling for pipelining, state insertion, and formal equivalence checks between different stages, giving developers confidence as designs evolve. The result is a productive path from high-level specification to real hardware, without giving up control over latency, throughput, and area trade-offs. -
15
Netty
An event-driven asynchronous network application framework
...It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a foundation for RPC frameworks, proxies, and messaging systems. Pluggable transports and native integrations (like epoll or kqueue where available) allow fine-tuning for different operating systems. With robust resource management, leak detection, and extensive testing, Netty is widely chosen when low latency, scalability, and control over the I/O stack are required. -
16
Lapis
A web framework for Lua and OpenResty written in MoonScript
...Have a look at Web Framework Benchmarks just to see how OpenResty stacks up against other platforms. Utilizing the power of Lua coroutines, you can write clean code that looks synchronous but can achieve high throughput by automatically running asynchronously without blocking. Networking operations like database queries and HTTP requests will automatically yield to allow for handling concurrent requests, all without all that callback spaghetti seen in other asynchronous platforms. -
17
Fluent Bit Plugin for CloudWatch Logs
A Fluent Bit output plugin for CloudWatch Logs
...To access sub-values in the map use the form $(variable['subkey']). Also, it can be replaced with special values to insert the tag, ECS metadata, or a random string in the name. It can achieve higher throughput and will consume less CPU and memory. -
18
Apache brpc
Industrial-grade RPC framework used throughout Baidu
Apache brpc is an industrial-grade RPC framework for building reliable and high-performance services. Apache brpc (incubating) is an effort undergoing Incubation at The Apache Software Foundation (ASF), sponsored by the Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not... -
19
JCTools
Java Concurrency Tools for the JVM
Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK. There’s more to come and contributions/suggestions are most welcome. JCTools has enjoyed support from the community and contributions in the form of issues/tests/documentation/code have helped it grow. JCTools offers excellent performance at a reasonable price (FREE! under the Apache 2.0 License). It’s stable and in use by such distinguished frameworks as Netty,... -
20
Synapse Machine Learning
Simple and distributed Machine Learning
...With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster. -
21
HighwayHash
Fast strong hash functions: SipHash/HighwayHash
...It’s designed to defeat hash-flooding attacks by mixing input with wide SIMD operations and a branch-free inner loop, so adversaries can’t cheaply craft many colliding keys. The implementation targets multiple CPU families with vectorized code paths while keeping a portable fallback, yielding high throughput across platforms. It exposes simple one-shot and streaming APIs, so you can hash short keys or long byte streams with the same function. Typical uses include protecting hash tables that store untrusted keys and authenticating short-lived messages or records in storage systems. Although not a replacement for collision-resistant digests like SHA-2/3, it strikes a pragmatic balance of speed, simplicity, and resistance to common abuse patterns seen in production backends. -
22
Fully Homomorphic Encryption
An FHE compiler for C++
...The workflow usually mirrors normal software development: write and test a cleartext implementation, run a simulator to validate logic and performance characteristics, then compile to an encrypted form to run with real FHE parameters. The project includes benchmarking harnesses, examples, and tutorials that demystify parameter selection, gate costs, and latency/throughput trade-offs. Multiple runtimes and backends are supported so teams can choose Boolean or integer schemes depending on accuracy and speed needs. -
23
Emitter
High performance, distributed, low latency publish-subscribe platform
...Designed to ensure reliable, speed-of-light message delivery and high throughput. Supports TLS encryption, binary messages, expirable channel keys and permissions. -
24
DBD2
A multi-threaded, multi-database tcp-based database insertion app.
DBD2 inserts database records from TCP input. It is a companion project to Syslgod2 and an application in its own right. It ships with a backgrounding client for generic use. The client sends whatever information the user puts on the command-line to the back-end daemon via TCP. Upon successful transmission, the client exits. On failure, it backs off and retries until its life-time timer expires. The back-end daemon accepts data from Syslogd2 or its own client and inserts that data... -
25
SageMaker TensorFlow
SageMaker specific extensions to TensorFlow
...Please make sure to checkout the branch of sagemaker-tensorflow-extensions that matches your TensorFlow version. SageMaker Pipe Mode is a mechanism for providing S3 data to a training job via Linux fifos. Training programs can read from the fifo and get high-throughput data transfer from S3, without managing the S3 access in the program itself.
