Reverse Dependencies of msgpack

The following projects have a declared dependency on msgpack:

• ktext — Pre-processing text in parallel for Keras in python.
• kunny — A simple RPC framework
• KZZCrawl — download data of kzz in A market
• lakota — Versioned columnar storage for timeseries
• langgraph-checkpoint — Library with base interfaces for LangGraph checkpoint savers.
• langgraph_log_parser — Parser for logs from LangGraph
• lavague-core — automation code generation from text instructions
• laze — laze: a ninja buildfile generator
• lazyapi — Async and Sync wrapper client around httpx
• lescode — lescode
• levrt — no summary
• librosa — Python module for audio and music processing
• lidia — serve an aircraft instruments panel as a web page
• light-aligner — a light-weight aligner.
• lightning-app — Use Lightning Apps to build everything from production-ready, multi-cloud ML systems to simple research demos.
• lightningchart — An interactive high-performance data visualization library
• LiSE — Life Simulator Engine
• litestar-msgspec — A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML.
• llama-server-client — A ZMQ client interface for llama server
• lmdb-embeddings — Fast querying of word embeddings using the LMDB "Lightning" Database.
• locust — Developer-friendly load testing framework
• locust-ig — Developer friendly load testing framework
• locust-je-test-pep621 — Developer friendly load testing framework
• locust-mboutet — Developer friendly load testing framework
• locust-mboutet2 — Developer friendly load testing framework
• locustio — Website load testing framework
• locustksy — Website load testing framework
• logfire-python — Logfire.ai client library
• logsense-logger — A Python logging handler for sending logs to LogSense
• logsift — Quickly filter your logs from any command
• logtail-python — Logtail.com client library
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• lp-Aicloud — this a aicloud
• ls-api-clients — A package for laser-mind clients
• ls-packers — An internal client python API for accessing LightSolver's capabilities
• ls-trace — Datadog tracing code
• luis1996 — my description
• luisito1996 — my description
• luisito19963 — my description
• lurklite — A miniirc-based IRC bot.
• lXtractor — Feature extraction library for sequences and structures
• LynseDB — A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
• lyric-py — Python bindings for Lyric: A Rust-powered secure sandbox for multi-language code execution, leveraging WebAssembly to provide high-performance runtime isolation for AI applications
• lyric-task — Add your description here
• m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
• macarna — Fast offline vendor lookup by MAC address
• machine-common-sense — Machine Common Sense Python API to Unity 3D Simulation Environment
• mafiagg — A Python wrapper for the MafiaGG API
• maggma — Framework to develop datapipelines from files on disk to full dissemenation API
• magicnet — MagicNet is a modern and flexible networking library
• mailflagger — A program which flags emails, typically after an incoming payment
• mamamiya — A utility for crawling historical and Real-time Quotes data of China stocks
• manylog — Collect log messages and progress updates from multiple processes.
• mapper-core — Core TDA functionality for BluelightAI Cobalt
• marvin-brain — Core Marvin Brain for SDSS
• mashumaro — Fast and well tested serialization library
• masonite-socketio-driver — Socket IO Broadcast Driver for Masonite
• matrix-synapse — Homeserver for the Matrix decentralised comms protocol
• matrix-synapse-jitsi — Reference homeserver for the Matrix decentralised comms protocol
• matrix-synapse-ray — Reference homeserver for the Matrix decentralised comms protocol
• maxframe — MaxFrame operator-based data analyze framework
• mdalib — ทดสอบ
• mdml — Application of Deep learning on molecular dymanamics trajectories
• Medeina — A cumulative food web
• medusa-core — Medusa Core package
• medusa-protocol — Library with the binary and not protocol
• mercupy-msgpack — Python implementation for mercury-msgpack based on Mercupy, which allows serializing & deserializing Mercupy objects to and from MessagePack.
• mergeron — Merger Policy Analysis using Python
• mesop — Build UIs in Python
• metamorphosis — An opinionated event streaming microframework
• missinglink — Command line tool and SDK for MissingLink.ai platform
• mite — A Python Performance Testing Framework
• mitmproxy — An interactive, SSL/TLS-capable intercepting proxy for HTTP/1, HTTP/2, and WebSockets.
• mitmproxy-ban — An interactive, SSL/TLS-capable intercepting proxy for HTTP/1, HTTP/2, and WebSockets.
• mitmproxy2swagger — no summary
• mkdocs_puml — Package that brings PlantUML to MkDocs
• ml-crypto — pyCrypto wrapper, used by various MissingLink.ai libraries
• ml-legit — Package for Data Management of MissingLink.ai
• ML-Navigator — ML-Navigator is a tutorial-based Machine Learning framework. The main component of ML-Navigator is the flow. A flow is a collection of compact methods/functions that can be stuck together with guidance texts.
• mlchain — MLchain Python Library
• mlcrypto — pyCrypto wrapper, used by various MissingLink.ai libraries
• mmcif — mmCIF Core Access Library
• mmtf-cppy — Toolkit for handling MMTF formatted macromolecular data
• mmtf-python — A decoding libary for the PDB mmtf format
• mmtfPyspark — Methods for parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark
• moat-mqtt — Async MQTT broker and client, with optional MoaT-KV support
• moat-util — Utility code for the rest of MoaT
• mobility-virtual-environment — The Mobility Virtual Environment (MoVE) tests multi-vehicle mobility scenarios.
• model-perf — Model Performance Toolkit (model-perf) is a Python package backed by test applications for different platforms (Windows/MacOS, Android/iOS, Web) to test machine learning models on different target platforms and devices (e.g., Google Pixel for Android, iPhone for iOS).
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• modelz-py — machine learning models
• modulename — this is a description
• mojipack — Encode binary data into fun emoji strings!
• molten — A minimal, extensible, fast and productive API framework.
• mona-fluent-logger — A Python logging handler for Fluentd event collector
• mona-uds-client — Client code for python Mona over Unix Domain Socket protocol
• monty — Monty is the missing complement to Python.
• moschitta-serialization — no summary
• mosec — Model Serving made Efficient in the Cloud
• mosec-tiinfer — Model Serving made Efficient in the Cloud