Packages
Provides panel regression, instrumental variable estimators, system regression, and factor asset pricing models that extend statsmodels for econometric and financial analysis.
Lineax solves linear systems and least-squares problems in JAX, handling both explicit matrices and implicit linear operators without materializing them.
Provides a backport of Python's linecache module for older Python versions, allowing code to access cached line information from source files across Python 2 and early Python 3 releases.
Install only if maintaining a legacy codebase on Python 2.6, 2.7, 3.2, 3.3, or 3.4 that explicitly requires this backport.
Detects which language a text is written in, supporting 75 languages with high accuracy on both short snippets and full sentences using compiled Rust bindings.
LinkChecker validates links across websites by crawling pages and reporting broken or invalid URLs, supporting HTTP, HTTPS, FTP, mailto, and local file links.
Provides direct HTTP access to LinkedIn's internal Voyager API for profile search, messaging, job discovery, and connection management without requiring official API credentials.
No—install only if you accept significant risk.
Provides a Python client for LinkedIn's Rest.li APIs, handling request formatting, OAuth2 authentication, and response parsing to simplify integration with LinkedIn's API endpoints.
However, the beta status, dormant maintenance (no updates since 2024-04-21), and proprietary license with unclear terms warrant caution in production.
Detects and extracts URLs, email addresses, and custom protocol links from plain text with full Unicode support, including international domains and astral characters.
LinkML is a modeling language for defining linked data schemas in YAML, with tools to generate JSON, RDF, and other schema formats from a single source definition.
Provides runtime support for LinkML-generated Python dataclasses, including loaders and dumpers for converting between JSON, YAML, RDF, TSV, and LinkML object instances.
Extracts preview metadata (title, description, image, site name, favicon) from web URLs by parsing OpenGraph, Twitter Card, Microdata, JSON-LD, and HTML tags.
Install it if you're building a feature that displays rich link previews; skip it if you need active maintenance or support for cutting-edge HTML5 standards.
A Python client library for the Linkup API that provides web search, page fetching, research task management, and batch job submission with support for both synchronous and asynchronous calls.
Install it if you need programmatic web search, content fetching, or research task automation; skip it if you don't need external web data.
Official Python SDK for the Linode API v4, providing programmatic access to create, manage, and delete Linode instances and related cloud infrastructure resources.
Install it if you need to manage Linode infrastructure programmatically; it eliminates the need to write raw HTTP requests and provides a well-documented,…
Command-line interface for the Linode API that lets you manage Linode resources and services directly from the terminal with organized, configurable table output.
Install it if you're automating Linode resources or prefer terminal-based management.
linopy builds linear, integer, and quadratic optimization models using labeled n-dimensional arrays, bridging xarray data structures with external solvers.
Install it if you need to build optimization models with xarray-like data structures or if you want to avoid hand-coding matrix construction for multi-dimensional…
A Python SDK for the Linq API V3 REST API, providing type-safe synchronous and asynchronous clients with automatic pagination and built-in error handling.
Lintro unifies code formatting, linting, and quality assurance tools across multiple languages under a single CLI, with support for Python, JavaScript, Go, Rust, YAML, and others.
Install it if you manage code quality across multiple languages or want to simplify CI/CD tool orchestration.
Lintrunner orchestrates and runs multiple linters across a codebase, deciding which files need linting, invoking linters via a common protocol, and aggregating their results.
The main gotcha is the unclear license—verify it fits your project's constraints before committing.
Provides adapter integrations for lintrunner, enabling unified execution of popular Python, Rust, and C++ linters and formatters (flake8, pylint, mypy, black, ruff, rustfmt, clippy, clang-format, and others) through a single CLI interface.
Sphinx-doc extensions and command-line tools that extract documentation from C/C++ source file comments for structured doc generation.
The AGPL-3.0-or-later license requires careful review if you plan to redistribute or modify the package, but poses no barrier to using it as a documentation tool in…
Lion is a PyTorch optimizer that implements an evolved sign momentum algorithm discovered by Google Brain as an alternative to AdamW for training neural networks.
Install it if you are training models in domains the paper evaluated (language modeling, vision transformers, text-to-image) and are willing to invest in…
Liquidpy is a Python port of the Liquid template engine built on Jinja2, letting you render templates in Liquid syntax with support for standard, Jekyll, Shopify, and extended "wild" modes.
Compresses sequences of repeated values into a human-readable format and decompresses them back to their original form.
However, do not rely on it for mission-critical systems or expect updates—treat it as a stable utility for specific compression tasks where the format suits your data.
lit is a portable test runner for executing LLVM and Clang style test suites, summarizing results, and reporting failures with parallel execution support.
However, do not install expecting active maintenance or new features—development is dormant.
LitData optimizes and streams large datasets for PyTorch training by chunking data into efficient formats and loading directly from cloud storage or local paths without full local downloads.
A command-line client for SQLite databases with auto-completion and syntax highlighting, designed to make interactive database queries faster and more readable.
Install it if you spend time querying SQLite from the command line.
LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.
Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.
LiteLLM Enterprise provides a unified Python SDK and self-hosted AI Gateway to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) through a single OpenAI-compatible interface.
However, the proprietary license is not clearly documented in the package metadata—verify licensing terms before deploying in production or in open-source projects.
Provides supplementary files for the LiteLLM Proxy AI Gateway, reducing the size of the main litellm package by separating optional proxy server dependencies.
LiteParse provides Python bindings for fast, lightweight PDF and document parsing with spatial text extraction, OCR support, and output to JSON, plain text, or Markdown.
Install it if you need to parse PDFs or mixed document formats into structured text or Markdown; skip it only if you have a simpler use case or a strong preference…
Literalai is a Python SDK for observability in applications, providing decorators to instrument code for monitoring and tracing execution.
However, the aging maintenance status (485 days since last release) and lack of Python version clarity warrant checking current project health before committing to a…
Converts machine learning models to LiteRT format for deployment on mobile and embedded devices with low latency and minimal binary size.
Provides Python tools for building, inspecting, and working with LiteRT-LM file formats to run large language models on edge devices with hardware acceleration.
However, verify that you need the builder/inspection tools specifically—if you only need to run inference, you may need the full LiteRT-LM runtime separately.
Converts PyTorch models to .tflite format for on-device deployment on Android, iOS, and IoT devices via LiteRT, with CPU coverage and initial GPU and NPU support.
Litestar is an ASGI framework for building REST APIs with built-in data validation, dependency injection, ORM integration, and OpenAPI schema generation.
Install it if you are building an ASGI API and want these conveniences; skip it if you prefer minimal frameworks or are not building REST APIs.
Integrates HTMX into Litestar web applications, enabling server-driven dynamic HTML interactions without writing JavaScript.
However, the aging maintenance status means you should verify compatibility with your Litestar version and be prepared to maintain a fork if upstream support lags.
Provides a typed Python client for the Lithic REST API, supporting both synchronous and asynchronous card management and payment operations with automatic pagination and webhook handling.
Install it if you need to integrate Lithic's card issuance or payment API into a Python application.
Lithops is a Python framework for running unmodified code at scale across cloud providers, HPC, and on-premise platforms using serverless compute and storage backends.
The main gotcha is that you must configure a compute and storage backend before running anything; it is not a drop-in replacement for local parallelism without setup.
LitServe lets you build custom inference servers in Python by defining how requests are handled, models are loaded, and outputs are produced, with built-in support for batching, streaming, and multi-GPU scaling.
littlefs-python provides a Python interface to littlefs, a filesystem designed for small embedded systems, allowing creation, inspection, and modification of littlefs filesystem images.
However, verify the license status before use in proprietary contexts, and ensure the bundled littlefs version matches your target system's requirements.