Search Results for "low level format"
Sort By:
Showing 37 open source projects for "low level format"
View related business solutions-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
-
1
pg_mooncake
Real-time analytics on Postgres tables
pg_mooncake is a PostgreSQL extension that brings observability and performance insights to your database by exposing low-level metrics and analytics. It provides developers with enhanced visibility into query execution, memory usage, and system behavior. Ideal for fine-tuning Postgres performance, pg_mooncake is designed for those who need actionable insights without external tools. -
2
glutin
A low-level library for OpenGL context creation
Glutin is a low-level library written in Rust that provides an interface for creating OpenGL contexts and handling windowing, events, and input. It serves as a foundational component for developing cross-platform graphical applications in Rust, offering developers the flexibility to build upon its abstractions for custom rendering solutions. -
3
fluent-rs
Rust implementation of Project Fluent
The fluent-rs workspace is a collection of Rust crates implementing Project Fluent, a localization system designed to unleash the entire expressive power of natural language translations. Project Fluent keeps simple things simple and makes complex things possible. The syntax used for describing translations is easy to read and understand. At the same time it allows, when necessary, to represent complex concepts from natural languages like gender, plurals, conjugations, and others. -
4
k23
Experimental WASM Microkernel Operating System
k23 is a microkernel-based operating system project written in Zig, an emerging systems programming language focused on safety, simplicity, and performance. k23 explores the design of modern OS features like message-passing, memory protection, and modular service construction using Zig’s powerful low-level capabilities. It is an experimental and educational project intended to show how Zig can be used for robust, readable systems programming while enabling contributors to rethink traditional OS structures from the ground up. -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
5
corroded
Set of utilities consisting of idiomatic and safe rust utilities
...Although controversial, the code serves as an exploration of Rust internals and unsafe constructs, and it includes utilities intended to simplify memory management and pointer manipulation without safety checks. This can be attractive to low-level systems programmers who are comfortable with risks and want to squeeze out performance or experiment with unconventional language behavior. -
6
Firecracker
Secure and fast microVMs for serverless computing
Firecracker is an open-source virtualization technology developed by AWS for deploying secure micro-VMs (microVMs) that offer strong isolation with minimal overhead. Designed for serverless workloads (e.g., AWS Lambda, Fargate), it combines VM-level security with container-like performance and startup speed. -
7
rustix
Safe Rust bindings to POSIX-ish APIs
...It uses Results for reporting errors, bitflags instead of bare integer flags, an Arg trait with optimizations to efficiently accept any Rust string type, and several other efficient conveniences. rustix is low-level and, and while the net API supports Windows Sockets 2 (Winsock), the rest of the APIs do not support Windows; for higher-level and more portable APIs built on this functionality, see the cap-std, memfd, timerfd, and io-streams crates. -
8
baru
A system monitor written in Rust and C
Baru gathers the information from /sys and /proc filesystems (filled by the kernel). Except for audio and network modules that use C libraries. There is no memory leak over time. All modules are threaded. Thanks to this design (as well as Rust and C), baru is lightweight and efficient. It can run at a high refresh rate with a minimal processor footprint. The audio module communicates with the PipeWire/PulseAudio server through client API to retrieve its data. Wireless and wired modules use... -
9
Ferrite
A fast, lightweight text editor for Markdown, JSON, YAML, and TOML
...It focuses on common “config and docs” formats like Markdown and popular structured data files, so it fits naturally into developer, DevOps, and technical writing workflows. The editor is designed around responsiveness and low overhead, prioritizing quick startup, smooth scrolling, and predictable editing even when you are jumping between many small files. It also aims to reduce friction when reading and tweaking structured documents by offering format-aware conveniences and a UI that stays out of the way. Ferrite positions itself as a pragmatic daily driver for notes, documentation, and configuration edits, especially when you do not need a full language server stack. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
10
quiche
Savoury implementation of the QUIC transport protocol and HTTP/3
Cloudflare quiche is an open-source Rust implementation of the QUIC transport protocol and HTTP/3 designed to give developers a performant, flexible foundation for building modern networked applications and services, especially where low latency and efficient multiplexed streams matter. It is a “sans-io” library, meaning it implements the core QUIC and HTTP/3 state machines and logic without assuming how input/output should be done, so applications remain responsible for socket handling,... -
11
websocat
Command-line client for WebSockets, like netcat (or curl)
...Directly using unauthenticated SOCKS5 servers for connecting to WebSockets and listening WebSocket connections. Auto-reconnect and connection-reuse modes. Linux, Windows, and Mac support, with pre-built executables. Low-level WebSocket clients and servers with an overridable underlying transport connection, e.g. calling an external program to serve as a transport for websocat (for SSL, proxying, etc.). -
12
Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
13
Autocxx
Tool for safe ergonomic Rust/C++ interop driven from existing C++
...By reducing the amount of boilerplate and manual configuration typically needed for FFI (Foreign Function Interface) bindings, autocxx allows developers to focus on higher-level logic rather than low-level integration details. -
14
Anyhow
Flexible concrete Error type built on std::error::Error
...Its primary goal is to make error handling in applications easy: instead of defining lots of custom error types, you can use anyhow::Error (or the alias anyhow::Result<T>) for fallible functions. The crate supports attaching context to errors, so you can convert a low-level error (like “file not found”) into one with richer diagnostics (“Failed to read instructions from path X”) using .context() or .with_context(). It supports downcasting (so you can inspect the underlying error type), and for recent versions of Rust, it will capture backtraces by default when the underlying error type doesn’t already. ... -
15
winit
Window handling library in pure Rust
...It can create windows and lets you handle events (for example the window being resized, a key being pressed, a mouse movement, etc.) produced by the window. Winit is designed to be a low-level brick in a hierarchy of libraries. Consequently, in order to show something on the window you need to use the platform-specific getters provided by winit, or another library. -
16
eduOS-rs
A teaching operating system written in Rust
...It serves as a practical and educational tool that demonstrates key OS concepts like memory management, multitasking, privilege separation, and system call handling in a safe and modern language. Designed to run on x86_64 hardware using QEMU, eduOS-rs leverages Rust’s ownership model and type safety to reduce bugs common in low-level systems development. It is a valuable resource for students and instructors alike, providing clear, structured examples of kernel development. -
17
defmt
Efficient, deferred formatting for logging on embedded systems
defmt ("de format", short for "deferred formatting") is a highly efficient logging framework that targets resource-constrained devices, like microcontrollers. In its current iteration defmt mainly targets tiny embedded devices that have no means to display information to the developer, e.g. a screen. In this scenario, logs need to be transferred to a second machine, usually a PC/laptop, before they can be displayed to the developer/end-user. -
18
hyper for Rust
An HTTP library for Rust
...A Client for talking to web services. A Server for building those web services. Blazing fast thanks to Rust. High concurrency with non-blocking sockets. HTTP/1 and HTTP/2 support. hyper is a relatively low-level library, meant to be a building block for libraries and applications. If you are looking for a convenient HTTP client, then you may wish to consider reqwest. If you are looking for a convenient HTTP server, then you may wish to consider warp. Both are built on top of this library. A Service lets you define how to respond to incoming requests. ... -
19
rnet
Python HTTP client with TLS and HTTP/2 fingerprint emulation support
...It provides a flexible API for making HTTP requests while supporting both asynchronous and blocking workflows, allowing it to integrate easily into different Python applications and runtimes. rnet focuses on low-level protocol customization, giving users fine-grained control over TLS and HTTP/2 configuration in order to emulate specific browser behaviors. This includes support for TLS fingerprinting techniques such as JA3 and JA4 as well as detailed HTTP/2 settings, enabling more accurate simulation of real client network traffic. It is powered by the underlying wreq engine and is built with performance and modularity in mind. rnet also supports advanced networking capabilities such as proxy rotation, connection pooling, and streaming transfers, which make it suitable for automation, scraping, and high-performance network. -
20
CubeCL
Multi-platform high-performance compute language extension for Rust
CubeCL is a low-level compute language and compiler framework designed to simplify and optimize GPU programming for high-performance workloads, particularly in machine learning and numerical computing. It provides an abstraction layer that allows developers to write portable, hardware-efficient compute kernels without directly dealing with complex GPU APIs such as CUDA or OpenCL. -
21
Spice.ai OSS
A self-hostable CDN for databases
Spice is a portable runtime offering developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. Spice connects, fuses, and delivers data to applications, machine-learning models, and AI backends, functioning as an application-specific, tier-optimized Database CDN. The Spice runtime, written in Rust, is built-with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB.... -
22
OxidizeBot
High performance Twitch bot in Rust
OxidizeBot is an open-source Twitch Bot empowering you to focus on what's important. It allows for a richer interaction between you and your chat. From a song request system to groundbreaking game modes where your viewers can interact directly with you and your game. It's written in Rust, providing an unparalleled level of reliability and performance. OxidizeBot doesn't cost you anything, and its source code is available on GitHub for anyone to tinker with! Plays music moderates your chat,... -
23
Extractous
Fast and efficient unstructured data extraction
...Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. For broader format support, the system combines its Rust core with ahead-of-time compiled Apache Tika shared libraries, which allows it to extend parsing coverage while still avoiding traditional server-based overhead. It also supports OCR for images and scanned documents through Tesseract, making it useful for document ingestion pipelines that include image-based or scanned inputs. -
24
CCC
Claude Opus 4.6 wrote a dependency-free C compiler in Rust
...The project implements every part of a traditional compiler — the lexer, parser, intermediate representation, optimizer, code generator, assembler, linker, and debug info emitter — without relying on any external toolchain, producing standalone executables in the ELF format. While still early and not fully validated for correctness, it demonstrates the frontier of what sophisticated AI can build in complex, systems-level software domains, including the potential to compile real operating systems and large software projects. -
25
ort
Fast ML inference & training for ONNX models in Rust
ort is a high-performance Rust library that provides bindings to ONNX Runtime, enabling developers to run machine learning inference and training workflows directly within Rust applications using the standardized ONNX model format. It is designed to bridge the gap between modern machine learning frameworks and systems programming by offering a safe, ergonomic API for executing models originally built in ecosystems like PyTorch, TensorFlow, or scikit-learn. The library emphasizes speed and efficiency, leveraging hardware acceleration across CPUs, GPUs, and specialized accelerators to deliver low-latency inference both on-device and in server environments. ...
