Search Results for "encoding and decoding software"
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Showing 529 open source projects for "encoding and decoding software"
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encoding
Go package containing implementations of efficient encoding
Go package containing implementations of encoders and decoders for various data formats. At Segment, we do a lot of marshaling and unmarshaling of data when sending, queuing, or storing messages. The resources we need to provision on the infrastructure are directly related to the type and amount of data that we are processing. At the scale we operate at, the tools we choose to build programs can have a large impact on the efficiency of our systems. It is important to explore alternative... -
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io-ts
Runtime type system for IO decoding/encoding
Runtime type system for IO decoding/encoding -
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Simple Binary Encoding (SBE)
Simple Binary Encoding (SBE) - High Performance Message Codec
SBE is an OSI layer 6 presentation for encoding and decoding binary application messages for low-latency financial applications. This repository contains the reference implementations in Java, C++, Golang, C#, and Rust. More details on the design and usage of SBE can be found on the Wiki. An XSD for SBE specs can be found here. Please address questions about the specification to the SBE FIX community. -
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Cheshire
Clojure JSON and JSON SMILE (binary json format) encoding/decoding
Cheshire is a high-performance JSON encoding and decoding library for Clojure, built atop Jackson to combine fast parsing/generation with advanced support for types like Dates, UUIDs, Sets, Symbols, and the binary JSON SMILE format. Custom encoding is supported from 2.0.0 and up if you encounter a bug, please open a GitHub issue. From 5.0.0 onwards, custom encoding has been moved to be part of the core namespace (not requiring a namespace change). -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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libavif
Library for encoding and decoding .avif files
libavif is a portable, open-source C library that implements encoding and decoding for the AVIF (AV1 Image File Format), offering a robust, production-ready way to work with AVIF images across platforms. It supports all AV1-supported YUV formats and bit-depths, including alpha (transparency), and includes command-line tools (avifenc and avifdec) to easily convert to/from AVIF from common image formats like JPEG, PNG, or Y4M. -
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Dataclasses JSON
Easily serialize Data Classes to and from JSON
This library provides a simple API for encoding and decoding dataclasses to and from JSON. -
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jsonista
Clojure library for fast JSON encoding and decoding
Clojure library for fast JSON encoding and decoding. -
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Jansson
C library for encoding, decoding and manipulating JSON data
Jansson is a C library for encoding, decoding and manipulating JSON data. -
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Moquette Project
Java MQTT lightweight broker
...Simply embeddable in your IoT projects. Moquette aims to be a MQTT compliant broker. The broker supports QoS 0, QoS 1 and QoS 2. Its designed to be evented, uses Netty for the protocol encoding and decoding part. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Tiktoken
tiktoken is a fast BPE tokeniser for use with OpenAI's models
...“cl100k_base”) and lets users switch encoding names to match different model contexts. It also offers extension mechanisms so that custom encodings can be registered. Internally, it includes the core tokenizer logic (often implemented in Rust or efficient lower-level code), APIs for encoding, decoding, and counting tokens, and binding layers to Python (and sometimes other languages) for easy use. -
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Rustler
Safe Rust bridge for creating Erlang NIF functions
...That means there should be no ways to crash the BEAM (Erlang VM). The library provides facilities for generating the boilerplate for interacting with the BEAM, handles encoding and decoding of Erlang terms, and catches rust panics before they unwind into C. The library provides functionality for both Erlang and Elixir, however Elixir is favored as of now. The code you write in a Rust NIF should never be able to crash the BEAM. Decoding and encoding rust values into Erlang terms is as easy as a function call. ... -
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Fast Binary Encoding (FBE)
Fast Binary Encoding is fast and universal serialization solution
Fast Binary Encoding is ultra fast and universal serialization solution for C++, C#, Go, Java, JavaScript, Kotlin, Python, Ruby, and Swift. Fast Binary Encoding allows to description of any domain models, business objects, complex data structures, client/server requests & responses and generate native code for different programming languages and platforms. -
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Aeson
A fast Haskell JSON library
aeson is a high-performance Haskell library for JSON parsing and encoding, optimized for speed and ease of use. It serves as a foundational tool in the Haskell ecosystem for handling JSON data efficiently. High-performance optimized for real-world workloads. Widely used and well-maintained community library. Compatible with popular frameworks and the Haskell web ecosystem. Easy-to-use API (e.g., FromJSON, ToJSON typeclasses). Fast JSON parsing and serialization. -
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ffmpeg_develop_doc
2023, the latest audio and video learning materials, projects
...It includes command references, technical articles, academic papers, tutorials, and example projects covering audio and video processing concepts. The repository is structured as a knowledge base, offering materials on encoding, decoding, streaming protocols, and real-time media systems. It also contains interview preparation resources and practical case studies, making it useful for both learning and professional development. In addition to documentation, it links to open-source projects and implementation examples that demonstrate real-world usage of FFmpeg. ... -
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AvCpp
C++ wrapper for FFmpeg
...It leverages modern C++ features to simplify memory management and reduce the complexity of working with FFmpeg’s C APIs. The library enables developers to handle encoding, decoding, and streaming tasks with cleaner and more maintainable code. It focuses on performance while improving developer productivity through abstraction. avcpp supports integration into multimedia applications requiring efficient processing pipelines. Its design aligns with modern C++ standards, making it suitable for contemporary development environments. ... -
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cryptii
Web app and framework offering modular conversion and encoding
Web app and framework offering modular conversion, encoding and encryption. Translations are done client-side without any server interaction. This framework and web app aims to support a wide variety of ciphers, formats, algorithms and methods (called 'Bricks') while keeping them easily combinable. There are currently two types of Bricks: Encoders and Viewers. Encoders manipulate content by encoding or decoding in a specific way and using specific settings while Viewers allow users to access and edit the content fed into or outputted by Encoders in a certain way and format. ... -
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Frame
Fast FFmpeg GUI
...The tool is structured to facilitate automation, allowing users to process frames in bulk or integrate frame-level operations into larger media pipelines. It supports multiple video formats and leverages FFmpeg for decoding and encoding operations. frame is particularly useful for applications such as computer vision preprocessing, video inspection, and content analysis. Its modular design allows customization of workflows and integration into different environments. Overall, it serves as a practical utility for frame-level video processing and experimentation. -
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SwiftFFmpeg
A Swift wrapper for the FFmpeg API
SwiftFFmpeg is a Swift wrapper for FFmpeg that provides direct access to multimedia processing capabilities within Apple development environments. It exposes FFmpeg’s libraries through Swift-friendly APIs, enabling developers to perform encoding, decoding, and stream manipulation tasks. The project is designed to maintain performance while improving usability through modern language features. It supports working with media containers, codecs, and frames at a low level, offering fine control over processing pipelines. SwiftFFmpeg integrates seamlessly with iOS, macOS, and other Apple platforms, making it suitable for native app development. ... -
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Rsmpeg
A Rust crate that exposes FFmpeg's power as much as possible
Rsmpeg is a Rust-based binding for FFmpeg that provides low-level access to multimedia processing capabilities through safe and efficient abstractions. It allows developers to interact directly with FFmpeg libraries for tasks such as encoding, decoding, and stream manipulation. The library is designed to balance performance with safety by leveraging Rust’s ownership model and memory management features. It supports handling of containers, codecs, and frames, enabling fine-grained control over media workflows. rsmpeg is suitable for building high-performance multimedia applications that require precise control over processing pipelines. ... -
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FFmpeg.AutoGen
FFmpeg auto generated unsafe bindings for C#/.NET and Core
FFmpeg.AutoGen is a .NET binding for FFmpeg that provides low-level access to its native libraries through automatically generated C# interop code. It enables developers to work directly with FFmpeg’s APIs, including encoding, decoding, muxing, and demuxing operations, within managed .NET environments. The library exposes FFmpeg structures and functions with minimal abstraction, offering high performance and flexibility. It is designed for advanced use cases where precise control over multimedia processing is required. FFmpeg.AutoGen supports integration into custom media applications, streaming systems, and processing pipelines. ... -
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Ksoup
Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML
Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML, extracting HTML tags, attributes, and text, and encoding and decoding HTML entities. -
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Sunshine
Self-hosted game stream host for Moonlight
Sunshine is an open-source self‑hosted cloud gaming server that implements NVIDIA’s GameStream protocol. Compatible with Moonlight clients across platforms, it supports low‑latency streaming via software or hardware encoding (AMD/Intel/NVIDIA) and offers a browser‑based control UI for pairing. -
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Android FFmpeg
An Android FFmpeg audio and video development tutorial
LearnFFmpeg is an educational repository that provides structured resources for understanding and mastering FFmpeg and multimedia processing concepts. It includes tutorials, command examples, and explanations of core concepts such as encoding, decoding, and streaming workflows. The project is designed to guide users from basic usage to more advanced topics, helping them build practical knowledge of FFmpeg operations. It often includes real-world examples and scenarios that demonstrate how FFmpeg can be applied in production environments. The repository also serves as a reference for developers working with media pipelines and automation tasks. ... -
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PyAV
Pythonic bindings for FFmpeg's libraries
...The library is designed for precise media manipulation, making it suitable for applications that require frame-level access or custom processing pipelines. PyAV integrates well with other Python libraries such as NumPy and Pillow, allowing seamless data transformation and analysis. It supports decoding, encoding, filtering, and resampling operations, covering a wide range of multimedia tasks. While powerful, it requires a solid understanding of FFmpeg concepts, as it prioritizes flexibility and control over abstraction. Overall, PyAV is a robust tool for developers building advanced video and audio processing systems in Python. -
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ALVR - Air Light VR
Stream VR games from your PC to your headset via Wi-Fi
...It allows users to run PC-based VR applications while using devices such as standalone headsets, effectively bridging the gap between high-performance desktop VR and portable hardware. The system works by encoding video output from the PC, streaming it over Wi-Fi, and decoding it on the headset in real time, while also transmitting input data such as head tracking and controller movements back to the PC. ALVR supports low-latency streaming through optimized encoding techniques and network configurations, making it suitable for interactive VR experiences. ...
