Personal tools
Skip to content. | Skip to navigation
An interface for creating both directed and non directed graphs from Python. Currently all attributes implemented in the Dot language are supported (up to Graphviz 2.16). Output can be inlined in Postscript into interactive scientific environments like TeXmacs, or output in any of the format's supported by the Graphviz tools dot, neato, twopi.
The asttokens module annotates Python abstract syntax trees (ASTs) with the positions of tokens and text in the source code that generated them. This makes it possible for tools that work with logical AST nodes to find the particular text that resulted in those nodes, for example for automated refactoring or highlighting.
Backport of the functools module from Python 3.2.3 for use on 2.7 and PyPy.
pycodestyle is a tool to check your Python code against some of the style conventions in PEP 8. It has a plugin architecture, making new checks easy, and its output is parseable, making it easy to jump to an error location in your editor.
pydocstyle docstring style checker (formerly pep257)**pydocstyle** is a static analysis tool for checking compliance with Python docstring conventions.**pydocstyle** supports most of PEP 257 < out of the box, but it should not be considered a reference implementation.**pydocstyle** supports Python 2.6, 2.7, 3.3, 3.4, 3.5, pypy and pypy3.Quick Start Install .. code:: pip install ...
Pyflakes is similar to PyChecker in scope, but differs in that it does not execute the modules to check them. This is both safer and faster, although it does not perform as many checks. Unlike PyLint, Pyflakes checks only for logical errors in programs; it does not perform any check on style.
Allows ruby objects to implement equality comparison and inspection methods. By including this module, a class indicates that its instances have explicit general contracts for `hash`, `==` and `eql?` methods.
python-ipaddr is a library for working with IP addresses, both IPv4 and IPv6. It was developed by Google for internal use, and is now open source.
Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.
The drillbit daemon service for Apache Drill.