Skip to main content

Machine learning based dialogue engine for conversational software.

Project description

Rasa Core

Join the chat on Rasa Community Forum PyPI version Supported Python Versions Build Status Coverage Status Documentation Status

Important Note

Current github master version does NOT support python 2.7 anymore (neither will the next major release). If you want to use Rasa Core with python 2.7, please install the most recent version from pypi.

Introduction

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

  • Facebook Messenger
  • Slack
  • Microsoft Bot Framework
  • Rocket.Chat
  • Mattermost
  • Telegram
  • Twilio

But you can also build assistants as

  • Alexa Skills
  • Google Home Actions

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 Rasa Community Forum 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-0.13.0.tar.gz (170.1 kB view details)

Uploaded Source

Built Distribution

rasa_core-0.13.0-py3-none-any.whl (204.9 kB view details)

Uploaded Python 3

File details

Details for the file rasa-core-0.13.0.tar.gz.

File metadata

  • Download URL: rasa-core-0.13.0.tar.gz
  • Upload date:
  • Size: 170.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.6.3

File hashes

Hashes for rasa-core-0.13.0.tar.gz
Algorithm Hash digest
SHA256 b562120a4049f18069a370d76a44000fa4ac1ae3ed585d108b883401a25bfee2
MD5 5b7bf16ccc2db6a5a3bbcf8c9b3f548f
BLAKE2b-256 42074003868125926cadb30c690336a5ec3275e1038b9af69a0d20ec69f8b861

See more details on using hashes here.

File details

Details for the file rasa_core-0.13.0-py3-none-any.whl.

File metadata

  • Download URL: rasa_core-0.13.0-py3-none-any.whl
  • Upload date:
  • Size: 204.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.6.3

File hashes

Hashes for rasa_core-0.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bd0097745e31fdd9a165e58a2b3e397be0a1edafae979f16e3932d236ebe0b7d
MD5 473c2cc9b63fed88226c322652762cc2
BLAKE2b-256 debcb5c886bc0bf15785b404a369c98f2159968d1b563e6ac47ef3acb1e7509e

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