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Decodes delimited text, key=value, JSON, NMEA, Modbus, and TLV formats using built-in decoders without writing scripts.
Distinct from Contract Data Decoders: Distinct from Contract Data Decoders: focuses on common serial data formats rather than blockchain ABI data.
Explore 4 awesome GitHub repositories matching networking & communication · Built-In Format Decoders. Refine with filters or upvote what's useful.
tiny-rdm is a Redis database manager and GUI client that provides a visual interface for performing CRUD operations on strings, hashes, lists, sets, and streams. It functions as a comprehensive administration tool, acting as a performance monitor, a pub/sub client, and a web dashboard for monitoring Redis activity. The project distinguishes itself through advanced data visualization and debugging capabilities, including the ability to organize keys into a hierarchical tree structure using custom delimiters. It supports the decoding and decompression of stored values through built-in methods o
Provides built-in and custom encoders to decode and format stored values for improved human readability.
Serial Studio is a desktop application for connecting to, decoding, visualizing, and recording data from hardware devices over multiple communication protocols. It functions as an embedded device debugging toolkit that ingests live data from Serial, Bluetooth, CAN, Modbus, MQTT, and network sockets into a unified dashboard, while also serving as a programmatic automation platform with over 320 commands exposed over TCP, gRPC, and MCP for external control. The application distinguishes itself through a scriptable frame pipeline that routes incoming bytes through configurable detection, decodin
Decodes delimited text, key=value, JSON, NMEA, Modbus, and TLV formats using built-in decoders without writing any scripts.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Parses incoming messages using built-in decoders for common formats like Avro, JSON, and Protobuf to ensure data readability.
attrs is a Python library that automatically generates initialization, representation, equality, hashing, and ordering methods from declarative class attribute definitions. At its core, it provides a class decorator metaprogramming framework that intercepts class creation to rewrite the class body, producing dunder methods without manual boilerplate. The library includes a comprehensive attribute validation toolkit with built-in validators for type checks, range constraints, regex matching, length limits, and logical composition of validation rules. The library distinguishes itself through it
Encodes and decodes class instances using JSON, MessagePack, YAML, or TOML with built-in validation.