Packages
Provides lazy translations for timezone and territory names in multiple languages, mapping pytz timezones and CLDR country codes to localized strings.
However, do not use it if you require active maintenance, Python 3.12+ support verification, or ongoing translation updates—the last release was 2021 and the…
Parses iPhone crash reports (IPS files) to extract and display metadata, backtrace, kernel information, and loaded kexts in a structured format.
Label Studio is a web-based data annotation platform that lets you label images, audio, text, video, and time-series data through a browser UI, then export annotations in formats ready for machine learning training.
Provides a Python client library and CLI for interacting with the Label Studio API, enabling programmatic access to projects, tasks, annotations, and other Label Studio resources.
However, verify the license terms before use—the metadata does not declare a license, which is a gap you should resolve before integrating into production or…
Labelbox is a Python SDK for interacting with the Labelbox data labeling platform, providing client-side access to projects, labels, annotations, and related data management through a GraphQL-backed API.
Install it if you need to programmatically interact with Labelbox projects, export annotations, or integrate labeling workflows into Python applications.
Laboratory lets you safely refactor critical code paths by running new and old implementations side-by-side in production, comparing their results, and collecting timing and error data without affecting the live control flow.
However, the aging maintenance status (last release 2019) means you should verify it works with your target Python version and be prepared to maintain a fork if needed.
Laces provides Django components that bundle template rendering logic with data, allowing them to render themselves via a template tag without requiring the parent template to manage their context.
Retrieves sensor data from La Crosse View-connected weather and environmental sensors via their cloud API.
Lagom is a lightweight dependency injection container that auto-wires dependencies based on type hints, requiring zero configuration for most use cases.
Extracts learned audio and text embeddings using contrastive language-audio pretraining, enabling cross-modal retrieval and downstream audio-text tasks.
However, verify that the HuggingFace checkpoints you need are still available, and be aware that the last release was 467 days ago—if you encounter bugs or need…
A high-level Python wrapper around the lakeFS SDK that simplifies interaction with lakeFS repositories, branches, and objects through a cleaner API with environment-based credential inference.
Provides a Python client library for the lakeFS HTTP API, automatically generated from OpenAPI specifications to enable programmatic interaction with lakeFS repositories.
Install it if you need to interact with lakeFS programmatically from Python—it is the official client and covers the full API surface.
LALSuite provides data analysis routines for searching and characterizing astrophysical signals in gravitational-wave time-series data from ground-based detectors like LIGO, Virgo, and KAGRA.
Install only if you are working with gravitational-wave detector data or waveform modeling.
A decorator that minimizes AWS Lambda cold starts by keeping functions warm through periodic invocations and optionally tracking cold/warm start metrics to CloudWatch.
Lambdalib provides technology-agnostic hardware abstraction for ASIC design, allowing designers to write RTL once and target multiple foundry processes through a library of standardized cells that decouple design from manufacturing specifics.
Install it if you want to decouple your RTL from process-specific details; skip it if you are working with a single fixed foundry or using a different ASIC flow…
Lambdapdk provides pre-configured, open-source Process Design Kits (PDKs) for chip design across multiple technology nodes, integrating standard cell libraries, I/O libraries, and memory compilers with SiliconCompiler and Lambdalib.
Provides Python SDK utilities for integrating with TestMu AI (formerly LambdaTest) to run automated tests across real browsers and devices in the cloud.
Install only if you have or plan to obtain a TestMu AI account; the SDK alone is a client library with no standalone value.
Captures visual snapshots during Selenium tests and uploads them to LambdaTest's SmartUI service for visual regression testing and comparison.
Wraps LAME MP3 encoder for Python, providing bindings to encode raw PCM audio data into MP3 format with configurable bitrate, sample rate, channels, and quality settings.
Provides a command-line interface for managing database instances, enabling operations like saving and retrieving files within a workspace.
However, verify the license status before use in proprietary contexts, and confirm that your Python version is supported (currently unspecified in the metadata).
Provides utility functions and helpers for LaminDB and Bionty, two bioinformatics and data management packages.
Install only if your project actually depends on LaminDB or Bionty; it is not a general-purpose utility library.
LaminDB is a data management system for organizing, querying, and governing multimodal datasets across diverse storage formats with built-in lineage tracking, versioning, and ACID compliance.
However, the license status is unclear—verify the actual license terms before adopting in proprietary or regulated environments.
Configures and initializes LaminDB instances, handling database setup, credentials, and environment configuration for the LaminDB data management framework.
However, verify the license terms first, as they are not declared in the package metadata.
lammps provides pre-built Python bindings to the LAMMPS molecular dynamics simulator, enabling molecular simulations via Python API or command-line interface across Linux, macOS, and Windows.
However, verify that the GPLv2 copyleft license is compatible with your project's licensing requirements, and confirm that the wheel's MPI version (MPICH or Microsoft…
Provides Python bindings for multimodal, versioned context storage designed for agentic workflows, enabling structured memory management with support for multiple data types.
Provides an abstract interface and plugin registry for Lance namespace implementations, enabling connection to different storage backends and custom namespace providers.
Install it if you are building or using Lance applications that need pluggable namespace support or custom storage backends.
Auto-generated REST client for the Lance Namespace specification, providing Python bindings to interact with Lance dataset operations over HTTP.
LanceDB is a Python SDK for connecting to and querying LanceDB vector databases, supporting search operations on embedded data with filtering and result limits.
Converts PDFs and images into structured Markdown and extracts typed fields using JSON Schema or Pydantic models via the LandingAI Agentic Document Extraction API.
Landlock provides a Python interface to Linux's Landlock security module, enabling rule-based file system access restrictions to harden applications against unauthorized file access.
LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.
Provides LangChain integration for Anthropic's Claude models, enabling developers to use Claude through the LangChain framework for generative AI applications.
Install it if you're already using LangChain and want to use Claude; it's the standard way to do so within the LangChain ecosystem.
Integrates Astra DB (a serverless vector database built on Apache Cassandra) with LangChain, providing vector storage, chat history, caching, and document loading capabilities.
Install it if you are building LangChain applications on Astra DB or migrating away from deprecated community plugins.
Connects LangChain applications to AWS services through boto3 and AWS APIs, enabling language model workflows to interact with AWS resources.
Integrates Microsoft Foundry (Azure AI) capabilities into LangChain and LangGraph, providing access to chat models, agents, tools, vector stores, and tracing through a unified Python interface.
Install it if you are building LangChain or LangGraph applications on Azure infrastructure or need access to Azure AI services as tools.
Provides LangChain integration tools to execute Python code and bash commands securely within Azure Container Apps dynamic sessions, enabling agents to run arbitrary code in isolated environments.
Install it if you are building LangChain agents on Azure and need to execute code (Python or bash) in isolated, managed containers.
Integrates Baseten's chat models and embeddings into LangChain applications, enabling use of Baseten-hosted models through LangChain's standard interfaces.
Integrates Cerebras AI inference services with LangChain, enabling chat models powered by Cerebras' WSE-3 processor through a standard LangChain interface.
Connects LangChain applications to Chroma, a vector database, enabling semantic search and retrieval-augmented generation workflows.
Install it if you are already using LangChain and want to use Chroma as your vector store; it is the standard way to connect the two.
Provides legacy LangChain chains, community integrations, indexing APIs, and deprecated functionality for backward compatibility with older LangChain applications.