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"name": "py-testtools",
"description": "Extensions to the Python standard library unit testing framework"
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"name": "py-text-unidecode",
"description": "The most basic Text::Unidecode port"
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"name": "py-textdistance",
"description": "Compute distance between the two texts."
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{
"name": "py-textile",
"description": "Textile processing for python"
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{
"name": "py-texttable",
"description": "python module for creating simple ASCII tables"
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{
"name": "py-textual",
"description": "Textual is a TUI (Text User Interface) framework for Python inspired by modern web development."
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{
"name": "py-textx",
"description": "Meta-language for DSL implementation inspired by Xtext"
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{
"name": "py-thinc",
"description": "spaCy's Machine Learning library for NLP in Python"
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{
"name": "py-threadpoolctl",
"description": "Helpers to limit the number of threads used in the common native libraries."
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{
"name": "py-three-merge",
"description": "Simple library for merging two strings with respect to a base one"
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{
"name": "py-thrift",
"description": "Python bindings to Thrift"
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{
"name": "py-tifffile",
"description": "Store numpy data arrays in TIFF files."
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{
"name": "py-tiktoken",
"description": "Fast BPE tokeniser for use with OpenAI's models."
},
{
"name": "py-time-machine",
"description": "A tool for mocking the time in tests"
},
{
"name": "py-timelib",
"description": "parse english textual date descriptions"
},
{
"name": "py-timeout-decorator",
"description": "Timeout decorator"
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{
"name": "py-tinycss2",
"description": "tinycss2 is a low-level CSS parser and generator written in Python"
},
{
"name": "py-tinydb",
"description": "TinyDB is a tiny, document oriented database"
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{
"name": "py-tkinter",
"description": "Python bindings to the Tk widget set"
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{
"name": "py-tldextract",
"description": "tldextract accurately separates the gTLD or ccTLD (generic or country code top-level domain) from the registered domain and subdomains of a URL."
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{
"name": "py-tlsh",
"description": "Trend Micro Locality Sensitive Hash"
},
{
"name": "py-tmuxp",
"description": "tmux session manager."
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{
"name": "py-tobler",
"description": "Spatial interpolation, Dasymetric Mapping, & Change of Support (tobler)"
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{
"name": "py-tokenize-rt",
"description": "A wrapper around the stdlib `tokenize` which roundtrips."
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{
"name": "py-tokenizers",
"description": "Fast and Customizable Tokenizers"
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{
"name": "py-toml",
"description": "Python Library for Tom's Obvious, Minimal Language"
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{
"name": "py-tomli",
"description": "A lil' TOML parser"
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{
"name": "py-tomli-w",
"description": "A lil' TOML parser"
},
{
"name": "py-tomlkit",
"description": "Style preserving TOML library"
},
{
"name": "py-toolz",
"description": "List processing tools and functional utilities."
},
{
"name": "py-toposort",
"description": "Implements a topological sort algorithm"
},
{
"name": "py-torchaudio",
"description": "Data manipulation and transformation for audio signal processing, powered by PyTorch"
},
{
"name": "py-torchdiffeq",
"description": "Differentiable ODE solvers with full GPU support and adjoint backpropagation"
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{
"name": "py-torchmetrics",
"description": "Machine learning metrics for distributed, scalable PyTorch applications"
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{
"name": "py-torchtext",
"description": "PyTorch data loaders and abstractions for text and NLP"
},
{
"name": "py-torchvision",
"description": "PyTorch datasets, transforms and models specific to computer vision"
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{
"name": "py-tornado",
"description": "Scalable, non-blocking web server and related tools"
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{
"name": "py-torrequest",
"description": "A simple Python interface for HTTP(s) requests over Tor."
},
{
"name": "py-tox",
"description": "tox: virtualenv-based automation of test activities"
},
{
"name": "py-tpot",
"description": "Tree-based Pipeline Optimization Tool"
},
{
"name": "py-tqdm",
"description": "A Fast, Extensible Progress Meter"
},
{
"name": "py-tracer",
"description": "A more flexible interface to sys.settrace"
},
{
"name": "py-traitlets",
"description": "Traitlets Python config system."
},
{
"name": "py-traits",
"description": "The Enthought traits package"
},
{
"name": "py-traitsui",
"description": "The Enthought traitsui package"
},
{
"name": "py-traittypes",
"description": "Custom trait types for scientific computing"
},
{
"name": "py-transaction",
"description": "generic transaction implementation for Python"
},
{
"name": "py-transformers",
"description": "State-of-the-art Machine Learning for PyTorch and TensorFlow"
},
{
"name": "py-translationstring",
"description": "Utility library for i18n."
},
{
"name": "py-treetable",
"description": "Pretty-print tree-structured tables in Python"
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]
}