Packages
Integrates Optuna hyperparameter optimization into Hydra's configuration framework, enabling sweeps over application parameters using Optuna's sampling and pruning strategies.
However, verify that this version is compatible with your target Hydra release (1.3 stable or 1.4 development) before committing, given the 2022 release date.
Integrates Hydra configuration framework with Submitit to submit Python functions as Slurm cluster jobs directly from configuration-driven applications.
However, note that the package has not been updated since May 2022; verify compatibility with your versions of hydra-core and submitit before committing to production…
Merges nested Python dictionaries efficiently by delegating the merge logic to Rust, with support for marking keys that should not be merged.
However, verify the license status (metadata shows unclear treatment despite the description claiming MIT) and assess whether the early version number and small user…
hyper is an HTTP/2 client library for Python that provides a drop-in-style interface for making HTTP/2 requests, similar to the standard library's http.client but designed explicitly for HTTP/2 protocol support.
Implements multiple residual streams in neural networks as proposed in the Hyper-Connections paper, allowing you to split, process, and recombine residual pathways within PyTorch models.
HTTP/2 client library for Python that provides an alternative to http.client with HTTP/2 protocol support and a similar API.
No—not for new projects.
Python SDK for controlling remote browser sessions and sandboxed environments via the Hyperbrowser API, supporting both sync and async clients with Playwright integration.
Hypercorn is an ASGI and WSGI web server supporting HTTP/1, HTTP/2, WebSockets, and optionally HTTP/3, with pluggable async worker types (asyncio, uvloop, trio).
hyperframe decodes binary HTTP/2 frame streams into structured Python objects, providing the framing layer used by HTTP/2 client and server implementations.
A Python async client library for controlling Hyperion-NG ambient lighting systems via their JSON API, providing direct access to color, effect, and LED stream control.
Generates Tableau Hyper files directly from Apache Spark DataFrames and SQL queries, then publishes them to Tableau Server, bypassing slower ODBC-based extract workflows.
However, maintenance is aging (no releases since September 2023), so verify compatibility with your current versions of pyspark, tableauhyperapi, and Tableau Server…
Hyperlight-sandbox provides a Python API for executing code inside isolated sandboxes with pluggable backends (WASM, HyperlightJS) and guest language runtimes, enabling secure code execution with tool registration and snapshot/restore semantics.
However, verify that snapshot/restore semantics and backend stability meet your production requirements before relying on it for critical workloads.
Provides a WebAssembly backend implementation for the hyperlight-sandbox Python API, enabling sandboxed code execution via Wasm.
Provides a Python guest runtime for the Hyperlight Wasm sandbox backend, enabling Python code execution within isolated Wasm environments.
However, it is only useful as part of a Hyperlight deployment—verify that it integrates with your version of the main Hyperlight package before installing.
Hyperlink provides an immutable, RFC 3986/3987-compliant URL class for parsing, manipulating, and constructing URIs and IRIs in pure Python.
Install it if you need RFC-compliant URL handling, especially for query parameters or relative URL resolution.
Python SDK for trading on the Hyperliquid decentralized exchange API, providing programmatic access to order placement, account state queries, and market data.
Hyperopt performs serial and parallel hyperparameter optimization over mixed search spaces using algorithms like Tree of Parzen Estimators (TPE), Random Search, and Adaptive TPE.
Extends YAML syntax with Python-friendly features like object instantiation, smart aliases with interpolation, and implicit tuple support for cleaner hyperparameter configuration files.
Python bindings for Vectorscan (an open-source fork of Intel's Hyperscan), a high-performance library for matching multiple regex patterns simultaneously against text.
Hyperscript lets you generate HTML markup programmatically using Python function calls instead of writing HTML strings directly.
However, it is dormant—no active maintenance—so use it only for straightforward markup tasks where you do not expect ongoing support or feature additions.
Hypothesis is a property-based testing library that generates random test inputs within specified ranges to find edge cases and bugs, then simplifies failing cases to their minimal form for easier debugging.
Install it if you want to catch bugs your manual tests miss.
Generates arbitrary GraphQL queries matching your schema to use as property-based test cases via Hypothesis, exposing edge cases in your GraphQL backend.
Generates random JSON data that conforms to a given JSON schema, for use as test input in property-based testing with Hypothesis.
hyppo provides multivariate hypothesis testing for high-dimensional and nonlinear data, implementing both classical and novel statistical tests in Python.
Provides a Python API to authenticate with and query Hyundai, Kia, and Genesis vehicle infotainment systems across multiple regions, handling login, token refresh, vehicle state updates, and trip history retrieval.