Subcategories
Packages
Provides CUDA 11 runtime native libraries for GPU-accelerated computing on Linux and Windows systems.
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 utilities for time-series forecasting workflows, including synthetic data generation, visualization, preprocessing (gap-filling), and evaluation metrics.
Calculates CRC and checksum values from binary data using parametrized algorithms from the CRC catalogue, supporting dozens of standard CRC variants and additive/XOR checksums.
Install it if you need standard CRC calculations; avoid it only if you require active feature development or real-time performance guarantees.
Provides dict-like configuration data structures with dot-notation access, type safety, and lazy evaluation for ML experiment and model configuration.
Downloads and loads pre-trained TensorFlow SavedModels from TensorFlow Hub (now redirected to Kaggle Models) for reuse in TensorFlow programs with minimal code.
However, be aware that maintenance is dormant and many models from the original tfhub.dev have been deleted; verify your models exist before committing to this…
Provides a Python DSL for writing high-performance CUDA kernels using CUTLASS concepts like layouts, tensors, and hardware atoms without requiring deep C++ expertise.
However, the unclear license status and beta maturity (target graduation summer 2026) warrant verification of licensing terms and stability requirements before…
Provides PyTorch-native audio data augmentation transforms that run on CPU or GPU, designed to integrate directly into neural network models as differentiable modules.
However, be aware that maintenance is aging (last release 576 days ago), multiprocessing and multi-GPU setups have known limitations, and some transforms have edge…
FilterPy provides Kalman filters, Extended Kalman filters, Unscented Kalman filters, and related optimal and non-optimal estimation filters for tracking and state estimation.
HoloViews lets you declare data structure and visualization intent together, then render interactive plots through bokeh or other backends without writing explicit plotting code.
Install it if you work with structured data in notebooks and want to reduce boilerplate plotting code.
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…
nvtx annotates Python code regions with named markers and colors for collection and visualization by NVIDIA Nsight Systems profiler.
Loky provides a reusable ProcessPoolExecutor that handles parallel task execution across multiple worker processes with safer spawning behavior and transparent support for non-picklable functions.
Install it if you need robust parallel task execution, especially on macOS or with third-party C libraries, or if you want to avoid repeated executor spawn overhead.
NiBabel reads and writes neuroimaging file formats including NIfTI, ANALYZE, GIFTI, CIFTI-2, MINC, AFNI BRIK/HEAD, ECAT, Philips PAR/REC, and FreeSurfer MGH files, exposing metadata and image data via NumPy arrays.
Loads, manipulates, validates, and visualizes URDF robot description files with decoupled parsing, mesh loading, and validation.
Provides autograd-compatible derivatives for incomplete gamma and beta functions, enabling automatic differentiation through special mathematical functions.
Converts trained machine learning models from popular frameworks into Apple's Core ML format (.mlmodel) and provides tools to examine, test, and make predictions with Core ML models.
Provides fast C++ implementations of time-series transformations and scalers for grouped data, designed to work with numpy arrays and support multithreading.
However, most users should access it indirectly through mlforecast or similar higher-level libraries rather than using it directly; install it directly only if you…
Generates comprehensive exploratory data analysis reports for pandas DataFrames, automatically detecting data types, computing statistics, and producing visualizations exportable as HTML, JSON, or Jupyter widgets.
However, install fg-data-profiling instead—ydata-profiling is deprecated and will not receive future updates.
StatsForecast provides fast implementations of statistical forecasting models including AutoARIMA, AutoETS, AutoCES, and Theta for univariate time series prediction, with support for distributed computing via Spark, Dask, and Ray.
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.
TensorFlow CPU provides a machine learning and numerical computation framework for building and training models on CPU-based systems, with support for Python 3.10 through 3.13.
CMA-ES is a derivative-free numerical optimization algorithm for difficult non-convex, multi-modal, or ill-conditioned optimization problems in continuous or mixed-integer search spaces.
Install it if you need derivative-free optimization for difficult non-convex problems in moderate dimensions; skip it if you have gradients available or are…
Solves the linear assignment problem using the Jonker-Volgenant (LAPJV) or Volgenant-Mordecai (LAPMOD) algorithm, returning optimal row-to-column assignments for dense or sparse cost matrices.
Install it if you need to solve linear assignment problems and prefer a specialized implementation over a general-purpose optimizer.
Provides async Python bindings to the Unity Catalog REST API, enabling programmatic access to catalog, schema, table, and asset management across multiple data formats and compute engines.
portion provides data structures and operations for working with intervals—including unions, intersections, complements, and containment tests—with automatic simplification and support for any comparable objects.
Install it if you need interval arithmetic or range operations.
Provides Python APIs to create, retrieve, and execute Unity Catalog functions with both async and sync interfaces, supporting integration of UC functions as tools in GenAI agents.
Install it if you need to integrate Unity Catalog functions into Python applications or GenAI agent workflows.
Simulates photovoltaic energy system performance and provides functions and classes for modeling solar energy systems and related PV calculations.
Lambdapdk provides pre-configured, open-source Process Design Kits (PDKs) for chip design across multiple technology nodes, integrating standard cell libraries, I/O libraries, and memory compilers with SiliconCompiler and Lambdalib.
A framework for building Airbyte connectors that extract data from HTTP APIs and other sources, supporting both declarative (low-code) and programmatic Python approaches.
asammdf parses, edits, and exports ASAM MDF measurement data files (versions 2, 3, and 4), supporting CAN/LIN bus logging, channel filtering, time-domain operations, and conversion to pandas, HDF5, Matlab, CSV, and parquet formats.
Fiddle is a Python-first configuration library that lets you define and manage complex program parameters in readable Python code, particularly suited for machine learning applications.
Install it if configuration-as-code in Python appeals to your workflow; skip it if you prefer external config files or simpler parameter passing.
Provides NVIDIA CUFFT native runtime libraries for CUDA 11, enabling GPU-accelerated Fast Fourier Transform computations on compatible systems.
Install only if required as a transitive dependency of an active package, or if you are locked to CUDA 11 and cannot upgrade.
A Python SDK for web scraping, crawling, searching, and extracting structured data from websites and research papers via the Firecrawl API, returning results as clean Markdown, HTML, or typed objects.
Provides CUSPARSE native runtime libraries for CUDA 11, enabling sparse matrix operations on NVIDIA GPUs.
Provides NVIDIA CUDA solver native runtime libraries for GPU-accelerated linear algebra and matrix operations on CUDA 11 hardware.
nemo-toolkit provides a PyTorch framework for building, training, and deploying speech AI models including automatic speech recognition (ASR), text-to-speech (TTS), and speech-based language models.
Provides NVIDIA CURAND native runtime libraries for CUDA 11, enabling GPU-accelerated random number generation in Python applications on x86_64 and ARM64 Linux, Windows, and legacy x86 platforms.
No—install only if you are locked into CUDA 11 and have no path to upgrade.
Provides NVIDIA CUDA profiling runtime libraries (CUPTI) for GPU performance analysis and monitoring on systems with CUDA 11 support.
CasADi is a framework for algorithmic differentiation and numeric optimization, providing symbolic computation and automatic differentiation capabilities for optimization problems.