Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
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This package provides tools for computing deep differences and searching of any Python object/data. Recreate objects by adding adding deltas to each other.
Python implementation of the Happy Eyeballs Algorithm described in RFC 6555. Provided with a single file and dead-simple API to allow easy vendoring and integration into other projects.
pydub makes it easy to manipulate audio in Python. It relies on ffmpeg to open various audio formats.
Pika is a pure-Python implementation of the AMQP (Advanced Message Queuing Protocol) 0-9-1 protocol that tries to stay fairly independent of the underlying network support library.
python-lazy-loader makes it easy to load subpackages and functions on demand. Its main features are:
Allow subpackages to be made visible to users without incurring import costs.
Allow external libraries to be imported only when used, improving import times.
Tree is a python library for working with nested data structures. In a way, tree generalizes the builtin map function which only supports flat sequences, and allows you to apply a function to each leaf preserving the overall structure.
This package provides a lightweight YAML Parser for Python. It supports only a chosen subset of the YAML format that is required to parse cookiecutter user configuration files. It does not have support for serializing into YAML and is not compatible with JSON.
Voluptuous is a Python data validation library. It is primarily intended for validating data coming into Python as JSON, YAML, etc.
This package provides the python-dotenv Python module to read key-value pairs from a .env file and set them as environment variables.
This library allows managing GitHub resources such as repositories, user profiles, and organizations in your Python applications, using version 3 of the GitHub application programming interface (API).
This package provides a parser to parse binary structs into dataclasses.
icmplib is a supporting library for both IPv4 and IPv6 networks. ICMP is typically used for diagnostic or control purposes - well known from utilities such as ping(1).
pyquery allows you to make jQuery queries on xml documents. The API is as much as possible the similar to jQuery. pyquery uses lxml for fast xml and html manipulation.
anyascii converts Unicode characters to their best ASCII representation.
Pretend is a library to make stubbing with Python easier. Stubbing is a technique for writing tests. You may hear the term mixed up with mocks,fakes, or doubles. Basically, a stub is an object that returns pre-canned responses, rather than doing any computation.
xlwt is a library for writing data and formatting information to older Excel files (i.e. .xls). The package itself is pure Python with no dependencies on modules or packages outside the standard Python distribution. It is not intended as an end-user tool.
This Python library can be used to create and update Microsoft Word (.docx) documents.
This package provides a fast markdown parser in pure Python.
This library validates email address syntax and deliverability.
This package provides liblabjackusb, a USB library for low-level communication with the U3, U6, UE9, Digit, T4 and T7 LabJack data acquisition instruments. A udev rule is also included to allow unprivileged users to communicate with the instruments via USB.
This package provides Python bindings for the libheif library and a plugin for Pillow.
This package provides a tiny, secure, URL-friendly, unique string ID generator for Python.
Python-EPC can call elisp functions from Python and Python functions from elisp.
DataDriver is a data-driven extension for Robot Framework. DataDriver uses the Listener Interface of Robot Framework to create new test cases based on a data file that contains the test data. DataDriver supports data files in the CSV, XLS or XLSX formats.