bpkroth

bpkroth's Stars

• cloudflare/cloudflare-blog

  Cloudflare Blog code samples

  Language:C1.2k250

• Qovery/Replibyte

  Seed your development database with real data ⚡️

  Language:Rust4.2k129

• facebookincubator/oomd

  A userspace out-of-memory killer

  Language:C++1.8k143

• JocaPC/AzureDataStudio-Managed-Instance

  Managed Instance extension for Azure Data Studio

  Language:TSQL55

• microsoft/ebpf-for-windows

  eBPF implementation that runs on top of Windows

  Language:C2.9k240

• openai/human-eval

  Code for the paper "Evaluating Large Language Models Trained on Code"

  Language:Python2.4k345

• minio/directpv

  Kubernetes CSI driver for Direct Attached Storage :minidisc:

  Language:Go60087

• jneem/teddy

  Rust library for fast multi-pattern searching.

  Language:Rust824

• jundaf2/regex-gpu

  Block-optimized regular expression matching engine on GPU

  Language:C++62

• aarati-K/ssd-measurement

  Language:C++21

• pyenv/pyenv-installer

  This tool is used to install `pyenv` and friends.

  Language:Shell4k434

• marcua/datools

  Language:Python1154

• intel/CPU-Manager-for-Kubernetes

  Kubernetes Core Manager for NFV workloads

  Language:Python18783

• microsoft/dsb

  The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. DSB is adapted from the widely-used industrialstandard TPC-DS benchmark. It enhances the TPC-DS benchmark with complex data distribution and challenging yet semantically meaningful query templates. DSB also introduces configurable and dynamic workloads to assess the adaptability of database systems. Since workload-driven and traditional database systems have different performance dimensions, including the additional resources required for tuning and maintaining the systems, we provide guidelines on evaluation methodology and metrics to report.

  Language:C479

• rockset/community

  Rockset community content

  Language:Python166

• tree-sitter/tree-sitter-graph

  Construct graphs from parsed source code

  Language:Rust22218

• Intel-bigdata/HiBench

  HiBench is a big data benchmark suite.

  Language:Java1.5k768

• yangqiang/BigDataBench-Spark

  BigDataBench Spark workloads

  Language:Scala118

• containerd/nerdctl

  contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...

  Language:Go8.2k611

• gartentrio/elasticsearch-vector

  Similarity search on vectors for Elasticsearch

  Language:Java1

• qdrant/qdrant

  Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  Language:Rust20.7k1.4k

• apache/superset

  Apache Superset is a Data Visualization and Data Exploration Platform

  Language:TypeScript62.9k13.9k

• bflattened/bflat

  C# as you know it but with Go-inspired tooling (small, selfcontained, and native executables)

  Language:C#3.7k107

• Bambofy/EmbeddedRingBuffer

  A ring buffer designed to work with embedded devices, does not use heap allocations.

  Language:C++535

• serge-sans-paille/beniget

  Extract semantic information about static Python code

  Language:Python7021

• uroni/fuseuring

  Using io_uring to implement a user space Linux fuse server

  Language:C++424

• frabert/ClangQL

  Query C++ codebases using SQLite

  Language:C1887

• jdmccalpin/low-overhead-timers

  Very low-overhead timer/counter interfaces for C on Intel 64 processors.

  Language:C11616

• RRZE-HPC/likwid

  Performance monitoring and benchmarking suite

  Language:C1.7k229

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k284