Packages
Adds context-aware validation functions to FabricDataFrames that automatically appear in autocomplete based on your data's types and metadata, enabling email, credit card, and other domain-specific validators to work seamlessly on Power BI data.
Extends Microsoft Fabric's Semantic Link with utilities for managing Power BI semantic models, reports, and capacities programmatically within Jupyter notebooks.
However, its utility is narrowly scoped to the Fabric environment; it is not a general-purpose Power BI tool and requires Python 3.10 or later.
Connects Python notebooks and Spark jobs in Microsoft Fabric to Power BI datasets, enabling data scientists to query semantic models, augment data with Power BI measures, and propagate semantic information across analysis workflows.
However, the proprietary license and Beta status mean you should review Microsoft's terms and test thoroughly before production use.
Semantic Router routes LLM requests to predefined decision paths using vector embeddings instead of waiting for slow LLM generations, enabling fast semantic-based intent classification.
Splits long text into semantically meaningful chunks sized for LLM context windows, respecting sentence and paragraph boundaries rather than breaking mid-thought.
Parses, validates, and compares semantic version strings according to the SemVer 2.0.0 specification, and matches versions against requirement specifications.
Provides a typed Python client for querying Semantic Scholar's Academic Graph, Recommendations, and Datasets APIs, with support for paginated responses and asynchronous requests.
Semble is a code search library that indexes and searches codebases using embeddings, returning relevant code snippets in response to natural-language queries with minimal token overhead.
Install it if you work with coding agents or need fast, token-efficient code search; the MCP integration and CLI are both straightforward to set up.
semchunk splits text into semantically meaningful chunks while preserving local context, supporting custom tokenizers, chunk overlapping, offsets, and optional AI-powered chunking via the Isaacus API.
Install it if you need to chunk text for RAG, embeddings, or language model workflows.
Semgrep is a static analysis tool that searches source code for bugs, security vulnerabilities, and policy violations using patterns that resemble the code being analyzed, supporting 30+ languages.
Install it if you need multi-language static analysis and are comfortable with the LGPL-2.1-or-later license.
SemHash deduplicates, filters outliers from, and finds representative samples in text, image, and multimodal datasets using semantic similarity with fast embeddings and efficient nearest-neighbor search.
Parse, compare, and manipulate semantic version strings following the MAJOR.MINOR.PATCH format, with support for pre-release and build metadata.
Install it if you need to work with version strings programmatically.
Parses and manipulates semantic versions with an optional fourth component for hotfix releases, plus standard semver 2.0 support.
However, maintenance is dormant (last release March 2024, no recent commits), so treat it as stable-but-unsupported; do not expect bug fixes or updates if issues arise.
Sends files and directories to the platform's native trash or recycle bin instead of permanently deleting them, with support for macOS, Windows, and Linux.
Sends emails and SMS messages via the Twilio SendGrid Web API v3, with helper classes for constructing messages and a fluent interface for accessing all API endpoints.
Integrates SendSafely secure file transfer and messaging into Python applications via an API client that handles encryption, upload, and recipient management.
However, the high install friction (source-only distribution) and minimal community adoption (7 repository stars) mean you should test installation in your…
Provides general-purpose utility classes extracted from sensAI, usable independently without sensAI's full dependency footprint.
However, maintenance is aging (298 days since last release), so verify that the utilities you need are stable and that the project's support aligns with your…
Provides Python access to the Sense Energy Monitor API for retrieving real-time and trend energy data, plus local device emulation to report custom power usage to Sense monitors.
Install it if you need programmatic access to Sense energy data or want to emulate devices for the Sense monitor.
Provides data models for storing and converting sensor state information in a standardized format.
However, verify that the supported sensor types and data structures match your specific use case before committing, as the pre-alpha status means the API may change.
Splits text streams into sentences even when chunks arrive at arbitrary boundaries, with support for both synchronous and asynchronous iteration.
Computes embeddings and reranking scores for text using pre-trained transformer models, enabling semantic search, similarity matching, and ranking tasks.
Install it if you need embeddings or reranking; the only gotcha is ensuring your environment has torch and the required Python version (3.10+).
SentencePiece is an unsupervised text tokenizer and detokenizer that converts text into token IDs or subword pieces, and reconstructs text from tokens. It supports single and batch encoding/decoding with multiple output formats including NumPy arrays, offset mappings, and Protobuf messages.
Creates singleton sentinel objects that represent special terminating conditions or symbolic meanings, allowing you to distinguish missing values from falsy ones like None, 0, or False.
However, the abandoned status (last commit 2022-07-23) means no future maintenance or Python 4 support—acceptable for a mature, narrow-scope library but worth noting…
sentinelhub provides a Python interface to Sentinel Hub's satellite data APIs and geospatial utilities, enabling access to Sentinel, Landsat, MODIS, and other satellite imagery collections through Process, Catalog, Batch, and Statistical APIs.
Install it if you need programmatic access to Sentinel Hub's imagery APIs; skip it if you don't use Sentinel Hub or prefer direct REST calls.
Provides singleton sentinel objects with special meanings—distinct placeholder values that can be used in function signatures and conditionals where None is a valid data value.
A command-line tool for interacting with Sentry, enabling tasks like uploading debug symbols and source maps, managing releases, and accessing Sentry data such as issues and logs.
Install it if you need to automate Sentry tasks or integrate Sentry into your deployment pipeline.
Provides Kafka topic definitions and JSON schema validators for Sentry's event streaming infrastructure, with auto-generated Python type hints for schema-compliant message handling.
Provides protocol buffer and gRPC schema definitions for cross-process communication, with generated Python and Rust client bindings.
Sentry SDK captures and reports Python application errors, exceptions, and performance issues to a Sentry server for centralized monitoring and debugging.
Install it if you need centralized error and performance monitoring; skip it only if you have no monitoring requirements or use an alternative error-tracking system.
Generates SEPA XML payment files for direct debits and credit transfers, supporting multiple PAIN schema versions (001 and 008 series) used in European banking.
However, be aware that maintenance is aging (last release 346 days ago) and Python version support in classifiers only extends to 3.6—verify compatibility with your…
seqeval evaluates the performance of sequence labeling tasks like named-entity recognition and part-of-speech tagging by computing accuracy, precision, recall, and F1 scores across multiple tagging schemes.
However, it is dormant—last release October 2020—so verify compatibility with your Python version before adopting.
SeqIO builds scalable data pipelines for sequence models using TensorFlow's tf.data.Dataset, with support for preprocessing, tokenization, and evaluation metrics, while remaining compatible with JAX, PyTorch, and other frameworks.
However, the 11 runtime dependencies—particularly TensorFlow, JAX, and TensorFlow Text—make it heavy for lightweight use cases; consider it only if you need…
SeqIO provides task-based data pipelines for sequence models, combining raw data sources, preprocessing, vocabularies, and evaluation metrics into reusable registered tasks that output tf.data.Dataset instances compatible with JAX, PyTorch, and other frameworks.
However, this is a nightly build (0.0.18.dev20250227); verify that the development version is appropriate for your use case.
SeqLog sends Python log records to Seq, a centralized structured logging server, and adds support for named format arguments in log messages.
However, the aging maintenance status (last release 353 days ago) means you should verify that it meets your Python version and feature requirements before adopting…
Serena is an MCP server that provides semantic code retrieval, editing, and refactoring tools for AI coding agents, operating at the symbol level across over 40 programming languages via language servers or JetBrains IDE integration.
Serialx provides synchronous and native asynchronous APIs for serial port communication across Linux, macOS, and Windows, with support for modem pin control and ESPHome device integration.
Official Python client for SerpApi that queries multiple search engines and data sources (Google, Bing, Baidu, Yahoo, eBay, YouTube, and others) and returns structured results as dictionary-like objects.
Install it if you need programmatic access to search results or structured data from multiple sources.
Serpent serializes Python objects to human-readable, safe literals that can be deserialized using ast.literal_eval(), with support for uuid, datetime, array, and decimal types.
Serializes and deserializes Python dataclasses to/from dictionaries, JSON, or MessagePack, with built-in validation and support for nested types.
Bridges Python WSGI applications (Flask, Django, Pyramid) to AWS Lambda and API Gateway by converting HTTP requests to WSGI format and handling deployment packaging.
However, note that maintenance is aging—the last release was 429 days ago—so verify that it works with your specific framework version and Python runtime before…