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Python client library and toolkit for Neo4j

Project description

This is a copy of the py2neo package to restore the version history that got deleted. It’s not possible to re-upload a deleted version of a package to PyPI. So if you rely on, for example, py2neo ~= 4.1.0 in your project, you can simply switch to py2neo-history ~= 4.1.0. If your project works with py2neo 2021.2.3 or above, you can keep using py2neo as usual.

Note that this project will not get any updates past version 2021.2.3.

Py2neo

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Py2neo is a client library and toolkit for working with Neo4j from within Python applications and from the command line. The library supports both Bolt and HTTP and provides a high level API, an OGM, admin tools, an interactive console, a Cypher lexer for Pygments, and many other bells and whistles.

When considering whether to use py2neo or the official Python Driver for Neo4j, there is a trade-off to be made. Py2neo offers a larger surface, with both a higher level API and an OGM, but the official driver provides mechanisms to work with clusters, such as automatic retries. If you are new to Neo4j, need an OGM, do not want to learn Cypher immediately, or require data science integrations, py2neo may be the better choice. If you are building a high-availability Enterprise application, or are using a cluster, you likely need the official driver.

Releases & Versioning

As of 2020, py2neo has switched to Calendar Versioning, using a scheme of YYYY.N.M. Here, N is an incrementing zero-based number for each year, and M is a revision within that version (also zero-based).

No compatibility guarantees are given between versions, but as a general rule, a change in M should require little-to-no work within client applications, whereas a change in N may require some work. A change to the year is likely to require a more significant amount of work to upgrade.

Note that py2neo is developed on a rolling basis, so patches are not made to old versions. Users will instead need to install the latest release to adopt bug fixes.

Installation

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To install the latest release of py2neo, simply use:

$ pip install --upgrade py2neo

To install the latest stable code from the GitHub master branch, use:

$ pip install git+https://github.com/technige/py2neo.git@master#egg=py2neo

Requirements

Python versions Neo4j versions

The following versions of Python and Neo4j are supported:

  • Python 2.7 / 3.5 / 3.6 / 3.7 / 3.8

  • Neo4j 3.4 / 3.5 / 4.0 (the latest point release of each version is recommended)

While either Neo4j Community or Enterprise edition may be used, py2neo does not yet fully support all Enterprise-only features, such as Causal Clustering. Py2neo does however provide support for the multi-database functionality added in Neo4j 4.0. More about this can be found in the documentation for the Graph class.

Note also that Py2neo is developed and tested under Linux using standard CPython distributions. While other operating systems and Python distributions may work, support for these is not available.

More

For more information, read the handbook.

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