Skip to main content

Machine learning based dialogue engine for conversational software.

Project description

Rasa Core

Join the chat on Gitter Build Status Coverage Status PyPI version Documentation Status

Introduction

Rasa Core is a framework for building conversational software, which includes:

  • chatbots on Messenger
  • Slack bots
  • Alexa Skills
  • Google Home Actions

etc.

Rasa Core's primary purpose is to help you build contextual, layered conversations with lots of back-and-forth. To have a real conversation, you need to have some memory and build on things that were said earlier. Rasa Core lets you do that in a scalable way.

There's a lot more background information in this blog post

Where to get help

There is extensive documentation:

  • master  (if you install from github) or
  • stable   (if you install from pypi)

Please use gitter for quick answers to questions.

README Contents:

How to contribute

We are very happy to receive and merge your contributions. There is some more information about the style of the code and docs in the documentation.

In general the process is rather simple:

  1. create an issue describing the feature you want to work on (or have a look at issues with the label help wanted)
  2. write your code, tests and documentation
  3. create a pull request describing your changes

You pull request will be reviewed by a maintainer, who might get back to you about any necessary changes or questions. You will also be asked to sign a Contributor License Agreement

Development Internals

Running and changing the documentation

To build & edit the docs, first install all necessary dependencies:

brew install sphinx
pip install -r dev-requirements.txt

After the installation has finished, you can run and view the documentation locally using

make livedocs

Visit the local version of the docs at http://localhost:8000 in your browser. You can now change the docs locally and the web page will automatically reload and apply your changes.

License

Licensed under the Apache License, Version 2.0. Copyright 2018 Rasa Technologies GmbH. Copy of the license.

A list of the Licenses of the dependencies of the project can be found at the bottom of the Libraries Summary.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rasa-core-0.10.3.tar.gz (100.7 kB view details)

Uploaded Source

Built Distribution

rasa_core-0.10.3-py2.py3-none-any.whl (133.7 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file rasa-core-0.10.3.tar.gz.

File metadata

  • Download URL: rasa-core-0.10.3.tar.gz
  • Upload date:
  • Size: 100.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/2.7.14

File hashes

Hashes for rasa-core-0.10.3.tar.gz
Algorithm Hash digest
SHA256 93e8b51a9f98e8064b71049e6faf127fd9db7887e88fe19286f9433d04185be2
MD5 a90ff068609baa1b9659cc8c92c87c77
BLAKE2b-256 c465f5e2af91807440441eb395d84315116949d0c77e44fd6bfb4be90b07dcea

See more details on using hashes here.

File details

Details for the file rasa_core-0.10.3-py2.py3-none-any.whl.

File metadata

  • Download URL: rasa_core-0.10.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 133.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/2.7.14

File hashes

Hashes for rasa_core-0.10.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 35dfb2e2619ea9d92a7ba9bc11daabc27c01244b89c6dbdb9602cc2dc5cefcc4
MD5 38a579c17fa2cdde9f2b855eda44318c
BLAKE2b-256 7a8e0066253d669183f6cee3b5a09a6d5d5c3589d7c1c238747447b60e76e3cb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page