Packages
Provides elementary financial functions (IRR, NPV, PMT, and others) that were deprecated and removed from NumPy, offering a dedicated replacement for financial calculations.
However, given the aging status (no releases since 2019) and unclear compatibility with modern Python and recent numpy versions, verify that it works with your target…
Provides optimized group-indexing operations on arrays, with `aggregate` as the primary tool for computing reductions (sum, mean, std, etc.) across labeled groups of values.
Finds the minimum and maximum values in a NumPy array using C and SIMD optimizations, delivering faster results than separate NumPy amin and amax calls.
Adds a quaternion dtype to NumPy, enabling efficient quaternion arithmetic and array operations with native NumPy integration.
Calculates Root Mean Square (RMS) values over sliding windows in NumPy arrays using vectorized C code with SIMD acceleration (AVX on x86-64, NEON on ARM).
Reads, writes, and modifies STL mesh files (binary and ASCII formats) using NumPy-backed vectorized operations for fast geometry processing.
Provides version-specific type annotations for NumPy code, allowing static type-checkers to understand which NumPy version is installed and apply appropriate type hints accordingly.
Numpydantic adds type annotations and validation for arrays with shape and dtype constraints in pydantic models, supporting numpy, dask, zarr, hdf5, and video files through a pluggable interface.
A Sphinx extension that parses and renders docstrings written in NumPy documentation format, adding specialized directives for function and code documentation.
Provides a custom JSON encoder class that serializes NumPy data types (arrays, scalars, etc.) to JSON-compatible formats, allowing NumPy objects to be written directly to JSON files without manual conversion.
NumPyro is a probabilistic programming library that uses JAX for automatic differentiation and JIT compilation, enabling Bayesian inference with MCMC and variational inference algorithms on CPU, GPU, and TPU.
Not recommended if you require API stability or are new to probabilistic programming.
Provides tools to load, parse, and analyze the nuScenes autonomous driving dataset, including 3D object detection, tracking, prediction, and semantic segmentation of lidar and camera data.
However, verify that the non-commercial license restriction aligns with your use case before committing to production work.
nutpie provides a fast NUTS sampler for Bayesian inference on PyMC and Stan models, using a Rust-based implementation.
Nutree provides a Python library for creating, navigating, and manipulating tree data structures with support for searching, serialization, and visualization.
Nutter is a testing framework for Databricks notebooks that lets you write and run test fixtures directly in notebooks or via a command-line interface, with support for parallel execution and CI/CD integration.
However, exercise caution: the project is dormant (last release 2022-12-16), so compatibility with current Databricks APIs is unverified.
Python client library for submitting and managing document ingestion and processing jobs to the NVIDIA nv-ingest microservice, with support for extraction, splitting, and other data preparation tasks.
Install only if you have a running nv-ingest microservice instance available and need Python-level control over job submission and task configuration; it is not a…
Provides core telemetry abstractions (spans, events, attributes) and a recorder interface for collecting and exporting observability data from applications and long-running jobs.
However, the aging maintenance status (289 days since last release) suggests limited active development—verify whether it fits your stability and support expectations…
Adds training telemetry collection to Lightning applications via callback hooks, capturing training loop events, checkpointing, and lifecycle metrics automatically or on-demand.
GPU-accelerated batched primitives for atomistic simulation: neighbor lists, molecular dynamics ensembles, geometry optimization, and interatomic interactions (dispersion, electrostatics) built on NVIDIA Warp with PyTorch and JAX bindings.
Provides debugging and instrumentation APIs for LLM training workflows using NVIDIA libraries (Transformer Engine, Megatron-LM, NeMo) and PyTorch models, with configurable layer-level feature selection and tensor statistics collection.
However, the limited repository activity (21 stars, last commit 2025-09-17) and aging status suggest this is not a heavily supported tool—verify compatibility with…
Wrapper library for the NIST National Vulnerability Database API that retrieves CVEs and CPEs as Python objects with built-in rate limiting.
Queries and monitors NVIDIA GPUs on a machine, providing a CLI and Python API to check availability, memory usage, and running processes, plus optional multi-node monitoring via REST agents.
Provides NVIDIA CUBLAS native runtime libraries for GPU-accelerated linear algebra operations in CUDA-enabled environments.
Provides NVIDIA CUBLAS native runtime libraries for CUDA 11, enabling GPU-accelerated linear algebra operations in Python applications on x86_64 and ARM64 Linux, Windows platforms.
Install only if you are maintaining legacy code explicitly pinned to CUDA 11 and cannot upgrade; otherwise, use current nvidia-cublas packages or let your framework…
Provides NVIDIA CUBLAS native runtime libraries for CUDA 12, enabling GPU-accelerated linear algebra operations in Python applications.
Provides NVIDIA CUDA C++ Core Compute Libraries (CCCL) for GPU-accelerated computing on Windows and Linux systems.
However, verify the unclear license terms with NVIDIA and confirm your system architecture matches an available wheel before installing.
Provides NVIDIA's CUDA C++ Core Compute Libraries (CCCL) for GPU-accelerated computing on CUDA 12 platforms.
Provides NVIDIA CUDA C Runtime libraries for Python, enabling GPU-accelerated compute on supported platforms.
Install only if you have a specific dependency requirement from another package or a documented need for CUDA 13.3 runtime support; it is not typically installed…
Provides CUDA profiling runtime libraries that enable third-party tools to access GPU profiling APIs on NVIDIA hardware.
However, it requires an NVIDIA GPU and CUDA environment, and the unclear license should be confirmed before commercial deployment.
Provides NVIDIA CUDA profiling runtime libraries (CUPTI) for GPU performance analysis and monitoring on systems with CUDA 11 support.
Provides GPU profiling runtime libraries for CUDA 12, enabling third-party tools to access NVIDIA GPU profiling APIs.
Install only if a higher-level tool or framework explicitly lists it as a dependency.
Provides the NVIDIA CUDA nvcc compiler for building CUDA applications from Python, bundling the compiler with its runtime dependencies.
Provides the NVIDIA CUDA nvcc compiler for building CUDA applications, packaged as a Python distribution for easy installation across Linux and Windows platforms.
However, verify that the proprietary license terms fit your use case, and confirm that CUDA 12.9.86 matches your GPU and toolkit requirements before committing to…
nvdisasm disassembles NVIDIA CUDA cubin files into human-readable CUDA assembly code, extracting and presenting the compiled GPU kernel information.
Provides NVIDIA CUDA NVRTC (NVIDIA Runtime Compilation) native runtime libraries for Python, enabling runtime compilation of CUDA kernels on x86_64 Linux, ARM64 Linux, and Windows platforms.
Provides NVIDIA CUDA NVRTC (runtime compilation) native libraries for Python, enabling just-in-time compilation of CUDA kernels on x86_64 and aarch64 Linux and Windows systems.
Provides NVIDIA CUDA NVRTC native runtime libraries for compiling CUDA code at runtime on Windows and Linux systems.
Provides NVIDIA CUDA Runtime native libraries for GPU-accelerated computing on Windows and Linux systems.
Provides CUDA 11 runtime native libraries for GPU-accelerated computing on Linux and Windows systems.
Provides NVIDIA CUDA 12 runtime native libraries for GPU-accelerated computing on Linux, Windows, and ARM64 systems.