Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

A client for the leanbase API.

Project description


A client for the Leanbase API in python.


import leanbase as lb


lb.await_initialisation(timeout=0.25) # optional

if lb.user(user).can_access('quarter_pounds'):
  # Do this
  # Do that.

lb.user(user).completed('arduous_goal') # optional, recommended.


The code and the runtime is divided into the following modules. Storage, Client, Models and API.

Using the client is effectively using the API provided with it. At configuration,

  1. a client and stores are created
  2. stores are connected to the client (for auto-updates)
  3. the client requests for the first payload and updates the store accordingly.

During usage,

  1. the stores are queried for the feature along with its segments definitions
  2. the evaluation algorithm is invoked.
  3. the client and stores ensure that the feature definition is always up-to-date

Project details

Download files

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

Files for leanbase, version 1.2.0
Filename, size File type Python version Upload date Hashes
Filename, size leanbase-1.2.0-py3-none-any.whl (13.6 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size leanbase-1.2.0.tar.gz (9.1 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page