Open-source alternatives to Heatshrink

This is a high-performance Go compression library providing implementations of Zstandard, Snappy, and Huffman coding. It includes a parallel compression framework for distributing gzip and stream workloads across multiple CPU cores and a specialized Huffman codec optimized for modern CPU architectures. The library features a Zstandard implementation that supports custom dictionaries and allocation-free decoding, alongside a Snappy compatible encoder for high-throughput data processing. It provides specific tools for dictionary generation and optimization to improve compression ratios for smal

A minimalistic Fast Fourier Transform library.

WaveStitch is a deep generative framework for conditional time series synthesis. It enables the generation of realistic time series data conditioned on auxiliary features (e.g., labels, metadata) and signal anchors (e.g., partial observations). This codebase provides tools for experimentation…

Parser combinators for binary formats, in C. Yes, in C. What? Don't look at me like that.

Easy to use - simple API, works out of the box - Advanced filtering and log levels per topic or output - Thread-safety via external locking injection - Customization - only data you need - Extensible - add your own features via public API, set of predefined extensions - Support for embedded…

lightmapper.h is a C/C++ single-file library for lightmap baking by using your existing OpenGL renderer.

Epoxy is a library for handling OpenGL function pointer management for you

A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.

Linenoise is a lightweight C library for terminal line editing, command history management, and asynchronous input processing. It functions as a self-contained alternative for capturing user input from the command line without requiring external dependencies. The utility provides a non-blocking input processor that handles keyboard data via a feed mechanism, allowing applications to process user typing and external events simultaneously. It supports the implementation of custom shells and REPLs through features such as callback-based autocompletion, input hinting, and a circular history buffe

Olmocr is a distributed document processing framework designed to convert PDF and image files into structured markdown. It functions as a vision-based document parser that utilizes multimodal neural networks to interpret complex visual layouts and translate them into standardized text representations. The system operates as a remote inference orchestrator, offloading heavy document analysis tasks to external servers or cloud APIs to minimize local computational requirements. By employing a stateless worker architecture, it decouples document ingestion from inference, allowing for the distribu

Elegant Fast Fourier Transform in C. Making fft.c from fftpack user-friendly.

Fx is a command-line processing suite designed for the transformation, conversion, exploration, and visualization of structured data. It functions as a terminal-based utility that handles both automated shell pipelines and interactive navigation of complex, nested data hierarchies. The tool distinguishes itself by integrating a JavaScript-based engine that executes user-provided logic to filter, map, or modify data fields within a sandboxed runtime. It maintains a responsive interface by decoupling data processing from the display loop, allowing users to explore large datasets through an inte

Hadoop is a big data infrastructure suite and distributed data processing framework designed to store and process massive datasets across clusters of computers. It consists of a distributed storage system for managing large files across multiple nodes and a parallel computing engine for processing data across a distributed cluster. The framework implements a distributed file system to ensure fault tolerance and high throughput, paired with a programming model that processes large datasets in parallel. It manages the underlying hardware and software environment required for distributed big dat

Apache IoTDB is a time-series database designed for the Internet of Things, purpose-built to ingest high-volume data from millions of low-power devices and store timestamp-value pairs with configurable data types and encoding schemes. It organizes time series data and device metadata in a tree-like hierarchy, enabling efficient management of complex industrial sensor networks. The database supports rich querying capabilities, including time-aligned data retrieval across multiple devices, time-based aggregation like downsampling, and frequency-domain signal analysis. It provides high-throughpu

Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

C List - universal list solution for C and C++, easy and fast, all data types supported

CMSIS-DSP is an optimized compute library for embedded systems (DSP is in the name for legacy reasons).

EasyLogger is a lightweight C/C++ logging library and asynchronous framework designed for embedded systems, IoT devices, and wearables. It functions as a resource-efficient logger and flash memory manager, providing tools for low-level debugging and system event recording with minimal ROM and RAM requirements. The project distinguishes itself through an asynchronous logging model that buffers messages to a separate thread, preventing logging operations from blocking real-time application execution. It includes a specialized flash memory manager that utilizes circular buffering to persist logs

An ultra-lightweight database that supports key-value and time series data | 一款支持 KV 数据和时序数据的超轻量级数据库

Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖

A portable foreign-function interface library.

A lightweight C library for artificial neural networks

sds is a C dynamic string library that provides a memory management wrapper for heap-allocated strings. It implements binary-safe storage by tracking string lengths explicitly, allowing the library to handle null characters within data. The library distinguishes itself through a memory architecture that uses interchangeable function pointers for allocation and freeing, enabling the integration of custom memory managers. It utilizes header-stored length tracking to provide constant-time length retrieval and maintains null-terminated buffer padding to ensure compatibility with standard C string