Stars
The fastest path to AI-powered full stack observability, even for lean teams.
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
Extremely fast Query Engine for DataFrames, written in Rust
🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platfor…
CNCF Jaeger, a Distributed Tracing Platform
A high-performance observability data pipeline.
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
JuiceFS is a distributed POSIX file system built on top of Redis and S3.
Easy to use open source fast database for search | Good alternative to Elasticsearch | Drop-in replacement for E in the ELK stack
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
A simple, decentralized mesh VPN with WireGuard support.
Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by ClickHouse and OpenTelemetry.
Library of 40+ independent Lua modules improving Neovim experience with minimal effort
Fast and powerful Git hooks manager for any type of projects.
Local development against a remote Kubernetes or OpenShift cluster
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, a…
Rust Language Cheat Sheet - https://cheats.rs
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
This is an online course where you can learn and master the skill of low-level performance analysis and tuning.
An extensible, state of the art columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.