Packages
Trimesh loads, manipulates, and analyzes triangular mesh geometry in pure Python, with emphasis on watertight surfaces and a single hard dependency on numpy.
Trinity orchestrates multiple AI coding agents (Claude, Codex, Antigravity) in structured round-based deliberation, reaching consensus before distributing tasks to each agent's specialty.
However, alpha status means workflows and APIs may change; use it for exploration and prototyping rather than critical production pipelines.
Python client library for Trino, a distributed SQL engine, providing DBAPI 2.0 and SQLAlchemy adapter interfaces to query and manage big data clusters.
Install it if you need to query a Trino cluster from Python—it is the official client and supports both simple DBAPI workflows and complex SQLAlchemy integrations.
Trio is an async I/O library that lets you write concurrent Python programs using async/await syntax, handling multiple network connections, file operations, and tasks simultaneously with a focus on correctness and ease of use.
Install it if you need to write concurrent I/O code and prefer structured concurrency principles and a simpler API over asyncio.
Provides PEP 561 type stubs and typing utilities for Trio async framework, enabling static type checking with mypy for Trio, outcome, and async_generator packages.
However, maintenance is dormant (last release 2023-12-01), so verify that the type stubs remain accurate for your Trio version before relying on it for new projects.
Implements WebSocket protocol (RFC 6455) for both client and server using the Trio async framework, built on wsproto for protocol handling and I/O.
However, be aware the project is on life-support maintenance with infrequent releases (535 days since last release).
Triton is a language and compiler for writing custom deep-learning operations that run efficiently on GPUs and CPUs, offering higher productivity than CUDA with more flexibility than domain-specific languages.
Triton Ascend is a compiler framework that enables Triton code to run efficiently on Ascend hardware, handling memory allocation, data movement, and kernel optimization automatically.
Triton-windows is a Windows port of the Triton compiler that lets you write and compile custom GPU kernels for deep learning workloads on NVIDIA GPUs.
tritonclient is a Python client library for communicating with Triton Inference Server over gRPC or HTTP, enabling you to send inference requests to remote model-serving deployments.
Install it if you are using Triton for model serving and need to query it from Python.
TRL provides trainer classes for post-training foundation models using techniques like supervised fine-tuning, direct preference optimization, and group relative policy optimization, built on transformers and accelerate.
Install it if you need to fine-tune, align, or distill language models with modern techniques; skip it only if you are working exclusively with inference or base…
Trogon auto-generates a terminal user interface (TUI) for Click command-line applications, letting users interact with CLI options through a visual menu instead of typing commands.
Trollimage provides image processing and manipulation capabilities for the pytroll ecosystem, wrapping numpy and pillow to handle satellite and scientific imaging workflows.
Trollsift provides modules for parsing, formatting, and filtering satellite granule file names according to structured patterns.
Install it if you work with satellite granule data and need to parse, format, or filter filenames according to satellite naming standards.
tronpy is a Python client library for interacting with the TRON blockchain, enabling you to build and broadcast transactions, query account data, and manage cryptographic keys on the TRON network.
However, note that maintenance is aging (218 days since last release)—verify that the library's TRON protocol support aligns with your network requirements before…
Troposphere is a Python library that generates AWS CloudFormation templates by writing Python code instead of hand-crafting JSON or YAML, with built-in property and type validation to catch errors early.
Install it if you prefer writing infrastructure in Python over hand-editing CloudFormation templates.
Provides the canonical set of valid PyPI classifiers and tracks deprecated ones, allowing you to validate and look up classifier strings for package metadata.
Install it if you publish packages to PyPI, build packaging tools, or need to validate or look up classifier metadata in any workflow.
Produces and verifies cryptographic signatures for TrueLayer API requests and webhooks using PEM keys and JWKS.
Install it if you are integrating with TrueLayer's API and need to sign requests or verify webhooks; it is the standard tool for this task in Python.
Implements the TrueSkill rating algorithm to compute player skill ratings and match quality in competitive games.
Scans Git repositories and other sources for leaked credentials, classifying and validating over 800 secret types to identify active security risks.
However, verify the GNU license variant's compatibility with your project before committing, and note that the PyPI package has not been updated since 2021-02-05—you…
Scans Git repositories and source code for secrets, API keys, and other sensitive data using pattern matching, with support for custom rules and incremental scanning.
TruLens instruments LLM applications to trace execution step-by-step, evaluate outputs with LLM-based judges, and compare versions to identify failures and cost-quality tradeoffs.
Install it if you need to debug agent failures, compare LLM app versions, or measure quality-cost tradeoffs.
Instruments LLM applications with OpenTelemetry-native tracing and evaluates them with LLM-based judges that explain their reasoning, capturing latency, cost, and quality per step.
Install it if you need to instrument and evaluate LLM apps; skip it if you only need basic logging.
Truss is a CLI tool for packaging ML models with their serving logic and deploying them to production, handling containerization, dependency management, and GPU configuration automatically.
Downloads and resolves Baseten Pointers (bptr) to local directories, supporting HuggingFace, Google Cloud Storage, AWS S3, and Azure sources with optional caching.
Trustcall helps LLMs reliably generate and update complex JSON structures by using JSON patch operations instead of full regeneration, with built-in retry logic for validation errors.
trustme generates fake TLS certificates and certificate authorities for testing network code without needing real certificates or disabling certificate validation in tests.
Install it if you test any code that makes HTTPS connections.
Truststore exposes native system certificate stores through an SSL context API, allowing Python applications to verify HTTPS certificates using the operating system's trust store instead of relying on a static certificate bundle.
Reads, writes, and manipulates TRX tractography files in Python, supporting conversion between TRX and other formats (TRK, TCK, VTK, FIB, DPY) with command-line tools for validation and concatenation.
A typed Python client for the Courier REST API that sends notifications, manages user profiles, checks message status, and issues JWT tokens for client-side SDKs.
Trytond is the server component of Tryton, an open-source business software platform that provides a modular, scalable framework for building enterprise applications with built-in support for business logic, data management, and multi-user operations.
TSDB downloads and loads 173 open-source time-series datasets with minimal setup, handling caching and basic data cleaning automatically so you can focus on analysis.
Install it if you regularly work with benchmark time-series data.
Downsamples large time series datasets to a smaller number of representative points for visualization, using Rust-based algorithms (MinMax, M4, LTTB, MinMaxLTTB) with optional multithreading.
Automatically extracts hundreds of time-series features from sampled data using statistical and signal-processing algorithms, then filters them to identify only those relevant to your machine learning task.
Install it if you work with time-series data and want to avoid manual feature engineering.
tslearn provides machine learning algorithms optimized for time series data, including clustering, classification, regression, and distance metrics like Dynamic Time Warping, built on scikit-learn's API.
Parses and generates tab-separated values (TSV) data with high performance, converting between TSV text files and Python objects with support for multiple data types including dates, UUIDs, decimals, and IP addresses.
Wraps PyTorch models to apply test-time augmentation—running augmented versions of input images through a model and merging predictions to improve robustness.
Applies Bootstrap-inspired themes and a one-keyword styling system to tkinter's ttk widgets, letting you style any widget with a `bootstyle` parameter instead of managing raw colors or style names.
TTP is a Python library for parsing semi-structured text into structured data using template-based regex matching, with built-in functions for processing and transforming results.
Provides a curated collection of TTP (Template Text Parser) templates for parsing structured text output from network devices and other systems into validated Python data structures.