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[absl-py]
description=Abseil Python Common Libraries
[adodbapi]
description=A pure Python package implementing PEP 249 DB-API using Microsoft ADO.
[affine]
description=Matrices describing affine transformation of the plane.
[aiodns]
description=Simple DNS resolver for asyncio
[aiofiles]
description=File support for asyncio.
[aiohttp]
description=http client/server for asyncio
[alabaster]
description=A configurable sidebar-enabled Sphinx theme
[algopy]
description=Taylor Arithmetic Computation and Algorithmic Differentiation
[altair]
description=High-level declarative visualization library for Python
[altair_widgets]
description=Altair Widgets: An interactive visualization for statistical data for Python.
[amqp]
description=Low-level AMQP client for Python (fork of amqplib).
[aniso8601]
description=A library for parsing ISO 8601 strings.
[ansiwrap]
description=textwrap, but savvy to ANSI colors and styles
[anyjson]
description=Wraps the best available JSON implementation available in a common interface
[apispec]
description=A pluggable API specification generator. Currently supports the OpenAPI specification (f.k.a. the Swagger specification).
[apistar]
description=API documentation, validation, mocking, and clients.
[aplus]
description=An implementation of the Promises/A+ specification and test suite in Python
[appdirs]
description=A small Python module for determining appropriate " + "platform-specific dirs, e.g. a "user data dir".
[apptools]
description=Enthought application tools
[args]
description=Command Arguments for Humans.
[asgiref]
description=ASGI specs, helper code, and adapters
[asciitree]
description=Draws ASCII trees.
[asn1crypto]
description=Fast ASN.1 parser and serializer with definitions for private keys, public keys, certificates, CRL, OCSP, CMS, PKCS#3, PKCS#7, PKCS#8, PKCS#12, PKCS#5, X.509 and TSP
[asteval]
description=Safe, minimalistic evaluator of python expression using ast module
[astor]
description=Read/rewrite/write Python ASTs
[astroid]
description=Rebuild a new abstract syntax tree from Python's ast (required for pylint)
[astroml]
description=tools for machine learning and data mining in Astronomy
[astropy]
description=Community-developed python astronomy tools
[async_generator]
description=Async generators and context managers for Python 3.5+
[async_timeout]
description=Timeout context manager for asyncio programs
[atomicwrites]
description=Powerful Python library for atomic file writes.
[attrs]
description=Classes Without Boilerplate
[autopep8]
description=A tool that automatically formats Python code to conform to the PEP 8 style guide
[azureml_dataprep]
description=Azure ML Data Preparation SDK
[babel]
description=Internationalization utilities
[backcall]
description=Specifications for callback functions passed in to an API
[backports_abc]
description=A backport of recent additions to the 'collections.abc' module.
[backports.shutil_get_terminal_size]
description=A backport of the get_terminal_size function from Python 3.3's shutil.
[backports.ssl_match_hostname]
description=The ssl.match_hostname() function from Python 3.4
[backports.weakref]
description=Backport of new features in Python's weakref module
[baresql]
description=playing SQL directly on Python datas
[bcolz]
description=columnar and compressed data containers.
[bcrypt]
description=Modern password hashing for your software and your servers
[beautifulsoup4]
description=Screen-scraping library
[billiard]
description=Python multiprocessing fork with improvements and bugfixes
[bitarray]
description=efficient arrays of booleans -- C extension
[bkcharts]
description=High level chart types built on top of Bokeh
[blaze]
description=Blaze
[bleach]
description=An easy whitelist-based HTML-sanitizing tool
[blosc]
description=Blosc data compressor
[bloscpack]
description=Command line interface to and serialization format for Blosc
[bokeh]
description=Statistical and novel interactive HTML plots for Python
[boto3]
description=The AWS SDK for Python
[botocore]
description=Low-level, data-driven core of boto 3.
[bottle]
description=Fast and simple WSGI-framework for small web-applications.
[bottleneck]
description=Fast NumPy array functions written in Cython
[bqplot]
description=Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.
[branca]
description=Generate complex HTML+JS pages with Python
[brewer2mpl]
description=Connect colorbrewer2.org color maps to Python and matplotlib
[brotli]
description=Python binding of the Brotli compression library
[cachetools]
description=Extensible memoizing collections and decorators
[cartopy]
description=A cartographic python library with matplotlib support for visualisation
[castra]
description=On-disk partitioned store
[cchardet]
description=Universal encoding detector. This library is faster than chardet.
[cssselect]
description=cssselect parses CSS3 Selectors and translates them to XPath 1.0
[celery]
description=Distributed Task Queue.
[celerite]
description=Scalable 1D Gaussian Processes
[certifi]
description=Python package for providing Mozilla's CA Bundle.
[ceodbc]
description=Python interface to ODBC
[cffi]
description=Foreign Function Interface for Python calling C code.
[cftime]
description=time-handling functionality from netcdf4-python
[chainer]
description=A flexible framework of neural networks
[chardet]
description=Universal encoding detector for Python 2 and 3
[click]
description=A simple wrapper around optparse for powerful command line utilities.
[click_plugins]
description=An extension module for click to enable registering CLI commands via setuptools entry-points.
[cligj]
description=Click params for commmand line interfaces to GeoJSON
[clint]
description=Python Command Line Interface Tools
[cloudpickle]
description=Extended pickling support for Python objects
[clrmagic]
description=IPython cell magic to use .NET languages
[cmarkgfm]
description=Minimal bindings to GitHub's fork of cmark
[cntk]
description=The Microsoft Cognitive Toolkit
[colorama]
description=Cross-platform colored terminal text
[colorcet]
description=A set of useful perceptually uniform colormaps for plotting scientific data
[coloredlogs]
description=Colored terminal output for Python's logging module
[comtypes]
description=Pure Python COM package
[commonmark]
description=Python parser for the CommonMark Markdown spec
[configobj]
description=Config file reading, writing and validation.
[configparser]
description=This library brings the updated configparser from Python 3.5 to Python 2.6-3.5.
[contextily]
description=Context geo-tiles in Python
[contextlib2]
description=Backports and enhancements for the contextlib module
[contextvars]
description=PEP 567 Backport
[corner]
description=Make some beautiful corner plots of samples.
[coverage]
description=Code coverage measurement for Python
[cryptography]
description=cryptography is a package which provides cryptographic recipes and primitives to Python developers
[cupy]
description=NumPy-like API accelerated with CUD
[curio]
description=Curio - Concurrent I/O
[cvxcanon]
description=common operations for convex optimization modeling tools.
[cvxopt]
description=Convex optimization package
[cvxpy]
description=A domain-specific language for modeling convex optimization problems in Python
[cx_freeze]
description=Deployment tool which converts Python scripts into stand-alone Windows executables (i.e. target machine does not require Python or any other library to be installed)
[cycler]
description=Composable style cycles
[cymem]
description=Manage calls to calloc/free through Cython
[cyordereddict]
description=Cython implementation of Python's collections.OrderedDict
[cython]
description=Cython is a language that makes writing C extensions for the Python language as easy as Python
[cytoolz]
description=Cython implementation of Toolz: High performance functional utilities
[dash]
description=A Python framework for building reactive web-apps. Developed by Plotly.
[dask]
description=Minimal task scheduling abstraction
[dask_ml]
description=a library for distributed and parallel machine learning using dask
[dask-searchcv]
description=Tools for doing hyperparameter search with Scikit-Learn and Dask
[dataclasses]
description=A backport of the dataclasses module for Python 3.6
[datafabric]
description=Distributed In-Memory system for analytics
[datashader]
description=Data visualization toolchain based on aggregating into a grid
[datashape]
description=A data description language
[db.py]
description=a db package that doesn't suck
[decorator]
description=Better living through Python with decorators
[defusedxml]
description=XML bomb protection for Python stdlib modules
[deprecated]
description=Python @deprecated decorator to deprecate old python classes, functions or methods.
[descartes]
description=Use geometric objects as matplotlib paths and patches
[dill]
description=serialize all of python (almost)
[distribute]
description=Download, build, install, upgrade, and uninstall Python packages - easily
[distributed]
description=Distributed computing
[dm_sonnet]
description=Sonnet is a library for building neural networks in TensorFlow.
[docopt]
description=Pythonic argument parser, that will make you smile
[docrepr]
description=docrepr renders Python docstrings in HTML.
[docutils]
description=Text processing system for processing plaintext documentation into useful formats, such as HTML or LaTeX (includes reStructuredText)
[dopamine]
description=A library to use DopamineLabs machine learning API
[dynd]
description=Python exposure of DyND
[egenix-mx-base]
description=eGenix.com mx Base Distribution: mxDateTime, mxTextTools, mxProxy, mxBeeBase, mxURL, mxUID, mxStack, mxQueue and mxTools
[ecos]
description=This is the Python package for ECOS: Embedded Cone Solver
[edward]
description=A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
[emcee]
description=Kick ass affine-invariant ensemble MCMC sampling
[enum34]
description=Python 3.4 Enum backported to 3.3, 3.2, 3.1, 2.7, 2.6, 2.5, and 2.4
[entrypoints]
description=Discover and load entry points from installed packages
[envisage]
description=Enthought extensible application framework
[falcon]
description=An unladen web framework for building APIs and app backends.
[fastcache]
description=C implementation of Python 3 functools.lru_cache
[fastai]
description=fastai makes deep learning with PyTorch faster, more accurate, and easier
[fasteners]
description=A python package that provides useful locks.
[fastparquet]
description=Python support for Parquet file format
[fastprogress]
description=A nested progress with plotting options for fastai
[fastrlock]
description=A fast RLock implementation for CPython
[fast-histogram]
description=Fast 1D and 2D histogram functions in Python
[fbprophet]
description=Automatic Forecasting Procedure
[feather-format]
description=Python interface to the Apache Arrow-based Feather File Format
[fenics]
description=The FEniCS Project Python Metapackage
[filelock]
description=A platform independent file lock.
[fiona]
description=reads and writes spatial data files
[flask]
description=A microframework based on Werkzeug, Jinja2 and good intentions
[flask-compress]
description=Compress responses in your Flask app with gzip.
[flask-cors]
description=A Flask extension adding a decorator for CORS support
[flask-seasurf]
description=SeaSurf is a Flask extension for preventing cross-site request forgery (CSRF)
[flexx]
description=Pure Python toolkit for creating GUI's using web technology.
[flit]
description=Simplified packaging of Python modules
[folium]
description=Make beautiful maps with Leaflet.js & Python
[fonttools]
description=Tools to manipulate font files
[formlayout]
description=Module for creating form dialogs/widgets to edit various type of parameters without having to write any GUI code
[fuel]
description=Data pipeline framework for machine learning
[funcsigs]
description=Python function signatures from PEP362 for Python 2.6, 2.7 and 3.2+
[functools32]
description=Backport of the functools module from Python 3.2.3 for use on 2.7 and PyPy.
[future]
description=Clean single-source support for Python 3 and 2
[futures]
description=Backport of the concurrent.futures package from Python 3.2
[fuzzywuzzy]
description=Fuzzy string matching in python
[gast]
description=Python AST that abstracts the underlying Python version
[gdal]
description=Geospatial Data Abstraction Library
[gensim]
description=Python framework for fast Vector Space Modelling
[geopy]
description=Python Geocoding Toolbox
[geographiclib]
description=The geodesic routines from GeographicLib
[geopandas]
description=Geographic pandas extensions
[geoviews]
description=Stop plotting your data - annotate your data and let it visualize itself... on a map!
[ggplot]
description=ggplot for python
[ghost.py]
description=Webkit based webclient.
[gin_config]
description=Gin-config: a lightweight configuration library for Python
[gitdb2]
description=Git Object Database
[gitpython]
description=Python Git Library
[gmpy2]
description=GMP/MPIR, MPFR, and MPC interface to Python 2.6+ and 3.x
[gnumath]
description=Extensible array functions that operate on xnd containers.
[google-api-python-client]
description=Google API Client Library for Python
[google_pasta]
description=pasta is an AST-based Python refactoring library
[gr]
description=Python visualization framework
[graphql_relay]
description=Relay implementation for Python
[graphql_core]
description=GraphQL implementation for Python
[graphviz]
description=Simple Python interface for Graphviz
[graphene]
description=GraphQL Framework for Python
[graphql-server-core]
description=GraphQL Server tools for powering your server
[greenlet]
description=Lightweight in-process concurrent programming
[gridmap]
description=Easily map Python functions onto a cluster using a DRMAA-compatible grid engine like Sun Grid Engine (SGE).
[grpcio]
description=HTTP/2-based RPC framework
[guidata]
description=Automatically generated graphical user interfaces for easy data set edition and display
[guiqwt]
description=Efficient curve/image plotting and other GUI tools for scientific data processing software development
[gym]
description=The OpenAI Gym: A toolkit for developing and comparing your reinforcement learning agents.
[h11]
description=A pure-Python, bring-your-own-I/O implementation of HTTP/1.1
[hdfs]
description=HdfsCLI: API and command line interface for HDFS.
[holoviews]
description=Composable, declarative data structures for building complex visualizations easily.
[heapdict]
description=a heap with decrease-key and increase-key operations
[hvplot]
description=A high-level plotting API for pandas, dask, streamz and xarray built on HoloViews
[html5lib]
description=HTML parser based on the WHATWG HTML specification
[httplib2]
description=A comprehensive HTTP client library.
[humanfriendly]
description=Human friendly output for text interfaces using Python
[husl]
description=Human-friendly HSL (Hue-Saturation-Lightness)
[hypothesis]
description=A library for property based testing
[h5py]
description=General-purpose Python interface to HDF5 files (unlike PyTables, h5py provides direct access to the full HDF5 C library)
[ibis-framework]
description=Productivity-centric Python Big Data Framework
[ipydatawidgets]
description=A set of widgets to help facilitate reuse of large datasets across widgets
[idlex]
description=IDLE Extensions for Python
[idna]
description=Internationalized Domain Names in Applications (IDNA)
[imageio]
description=Library for reading and writing a wide range of image, video, scientific, and volumetric data formats.
[imageio_ffmpeg]
description=FFMPEG wrapper for Python
[imbalanced_learn]
description=Toolbox for imbalanced dataset in machine learning.
[immutables]
description=A high-performance immutable mapping type for Python
[imagesize]
description=Getting image size from png/jpeg/jpeg2000/gif file
[intake]
description=Data input plugin and catalog system
[ipykernel]
description=IPython Kernel for Jupyter
[ipyleaflet]
description=A Jupyter widget for dynamic Leaflet maps
[ipympl]
description=Matplotlib Jupyter Extension
[ipyparallel]
description=Interactive Parallel Computing with IPython
[ipyscales]
description=A widget library for scales
[ipython]
description=Enhanced Python shell
[ipython-genutils]
description=Vestigial utilities from IPython
[ipython-sql]
description=RDBMS access via IPython
[ipyvega]
description=IPython/Jupy
[ipyvolume]
description=3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
[ipywebrtc]
description=WebRTC for Jupyter notebook/lab
[ipywidgets]
description=IPython HTML widgets for Jupyter
[isort]
description=A Python utility / library to sort Python imports.
[itsdangerous]
description=Various helpers to pass trusted data to untrusted environments and back.
[jedi]
description=An autocompletion tool for Python that can be used for text editors
[jinja2]
description=Sandboxed template engine (provides a Django-like non-XML syntax and compiles templates into executable python code)
[jmespath]
description=JSON Matching Expressions
[joblib]
description=Lightweight pipelining: using Python functions as pipeline jobs.
[jnius]
description=Access Java classes from Python
[jplephem]
description=Use a JPL ephemeris to predict planet positions
[jsonschema]
description=An implementation of JSON Schema validation for Python
[julia]
description=Python interface to the Julia language
[jupyter]
description=Jupyter metapackage. Install all the Jupyter components in one go.
[jupyter_echarts_pypkg]
description=Echarts pypi packages for jupyter and python
[jupyterlab]
description=Jupyter lab environment notebook server extension
[jupyterlab_launcher]
description=Jupyter Launcher
[jupyter_client]
description=Jupyter protocol implementation and client libraries
[jupyter_console]
description=Jupyter terminal console
[jupyter_core]
description=Jupyter core package. A base package on which Jupyter projects rely.
[jupyterlab_server]
description=JupyterLab Server
[jupyter_sphinx]
description=Jupyter Sphinx Extensions
[jupytext]
description=Jupyter notebooks as Markdown documents, Julia, Python or R scripts
[kapteyn]
description=Python modules for astronomical applications
[keras]
description=Theano-based Deep Learning library
[keras-applications]
description=Reference implementations of popular deep learning models
[keras-preprocessing]
description=Easy data preprocessing and data augmentation for deep learning models
[keras-vis]
description=Neural network visualization toolkit for keras
[keyring]
description=Store and access your passwords safely.
[kivy]
description=A software library for rapid development of hardware-accelerated multitouch applications.
[kivy-garden]
description=Garden tool for kivy flowers.
[kiwisolver]
description=an efficient implementation of the Cassowary constraint solving algorithm.
[knit]
description=Python tool for defining and deploying YARN Applications
[kombu]
description=Messaging library for Python.
[lasagne]
description=neural network tools for Theano
[lazy-object-proxy]
description=A fast and thorough lazy object proxy.
[libpython]
description=The MinGW import library for Python
[lightfm]
description=A Python implementation of LightFM, a hybrid recommendation algorithm.
[lightning-python]
description=A Python client library for the Lightning data visualization server
[llvmlite]
description=lightweight wrapper around basic LLVM functionality
[llvmpy]
description=Python bindings for LLVM
[lmfit]
description=Least-Squares Minimization with Bounds and Constraints
[lml]
description=Load me later. A loading plugin management system.
[lock]
description=spyder lock
[locket]
description=File-based locks for Python for Linux and Windows
[locket.py]
description=File-based locks for Python for Linux and Windows
[logilab-astng]
description=Rebuild a new abstract syntax tree from Python's ast (required for pylint)
[logilab-common]
description=Collection of low-level Python packages and modules used by Logilab projects (required for pylint)
[logutils]
description=Logging utilities
[loky]
description=Robust and reusable Executor for joblib
[lxml]
description=Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API.
[lz4]
description=LZ4 Bindings for Python
[mahotas]
description=Computer Vision library
[mako]
description=A super-fast templating language that borrows the best ideas from the existing templating languages.
[markdown]
description=Python implementation of Markdown.
[markdown2]
description=A fast and complete Python implementation of Markdown
[markupsafe]
description=Implements a XML/HTML/XHTML Markup safe string for Python
[marshmallow]
description=A lightweight library for converting complex datatypes to and from native Python datatypes.
[matplotlib]
description=2D plotting library (embeddable in GUIs created with PyQt)
[mayavi]
description=The Mayavi scientific data 3-dimensional visualizer.
[mccabe]
description=McCabe checker, plugin for flake8
[mercantile]
description=Web mercator XYZ tile utilities
[metakernel]
description=Metakernel for Jupyter
[mingwpy]
description=the python friendly windows compiler toolchain
[mistune]
description=The fastest markdown parser in pure Python, inspired by marked.
[mizani]
description=Scales for Python
[mlxtend]
description=Machine Learning Library Extensions
[mkl-service]
description=Python bindings to some MKL service functions
[mlflow]
description=An ML Workflow Tool
[mock]
description=Rolling backport of unittest.mock for all Pythons
[modergnl]
description=Modern OpenGL binding for python
[monotonic]
description=An implementation of time.monotonic() for Python 2 & < 3.3
[more-itertools]
description=More routines for operating on iterables, beyond itertools
[moviepy]
description=Video editing with Python
[mpldatacursor]
description=Interactive data cursors for Matplotlib
[mpld3]
description=D3 Viewer for Matplotlib
[mpl-scatter-density]
description=Fast scatter density plots for Matplotlib
[mpmath]
description=Python library for arbitrary-precision floating-point arithmetic
[msgpack]
description=MessagePack (de)serializer.
[msgpack-numpy]
description=Numpy data serialization using msgpack
[msgpack-python]
description=MessagePack (de)serializer.
[multidict]
description=multidict implementation
[multipledispatch]
description=A relatively sane approach to multiple dispatch in Python
[multiprocess]
description=better multiprocessing and multithreading in python
[murmurhash]
description=Cython bindings for MurmurHash2
[munch]
description=A dot-accessible dictionary (a la JavaScript objects).
[mxbase]
description=eGenix.com mx Base Distribution: mxDateTime, mxTextTools, mxProxy, mxBeeBase, mxURL, mxUID, mxStack, mxQueue and mxTools
[mypy]
description=Optional static typing for Python
[mypy_extensions]
description=Experimental type system extensions for programs checked with the mypy typechecker.
[mysql-connector-python]
description=MySQL driver written in Python
[nbbrowserpdf]
description=LaTeX-free PDF generation from Jupyter Notebooks
[nbconvert]
description=Converting Jupyter Notebooks
[nbconvert_reportlab]
description=Convert notebooks to PDF using Reportlab
[nbdime]
description=Tools for diffing and merging of Jupyter notebooks
[nbformat]
description=The Jupyter Notebook format
[nbgrader]
description=A system for assigning and grading notebooks.
[nbpresent]
description=Next generation slides from Jupyter Notebooks
[nbsphinx]
description=Jupyter Notebook Tools for Sphinx
[ndtypes]
description=Dynamic types for data description and in-memory computations
[netcdftime]
description=Time-handling functionality from netcdf4-python
[netcdf4]
description=Provides an object-oriented python interface to the netCDF version 4 library
[networkx]
description=Python package for creating and manipulating graphs and networks
[nltk]
description=The Natural Language Toolkit (NLTK) is a Python package for natural language processing.
[nose]
description=nose is a discovery-based unittest extension (e.g. NumPy test module is using nose)
[notebook]
description=# Jupyter Notebook
[nteract_on_jupyter]
description=Extension for the jupyter notebook server and nteract
[numba]
description=compiling Python code using LLVM
[numcodecs]
description=buffer compression and transformation codecs for use in data storage and communication applications
[numdifftools]
description=Solves automatic numerical differentiation problems in one or more variables.
[numexpr]
description=Fast evaluation of array expressions elementwise by using a vector-based virtual machine
[numpy]
description=NumPy: multidimensional array processing for numbers, strings, records and objects (SciPy''s core module)
[numpydoc]
description=Sphinx extension to support docstrings in Numpy format
[nvidia-ml-py3]
description=Python Bindings for the NVIDIA Management Library