JupyterHub Native Authenticator
Project description
Native Authenticator
This is a relatively simple authenticator for small or medium-sized JupyterHub applications. Signup and authentication are implemented as native to JupyterHub without relying on external services.
NativeAuthenticator provides the following features:
- New users can signup on the system;
- New users can be blocked from accessing the system awaiting admin authorization;
- Option of enforcing password security by disallowing common passwords or requiring a minimum password length;
- Option to block users after a set number of failed login attempts;
- Option of open signup without need for initial authorization;
- Option of asking more information about users on signup (e-mail).
- Option of requiring users to agree with given Terms of Service;
- Option of protection against scripting attacks via reCAPTCHA;
- Option for users with an org-internal e-mail address to self-approve via secure link;
Documentation
The latest documentation is always on readTheDocs, available here.
Running tests
To run the tests locally, you can install the development dependencies like so:
$ pip install -r dev-requirements.txt
Then run tests with pytest:
$ pytest
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
Built Distribution
Close
Hashes for jupyterhub-nativeauthenticator-1.0.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a9271b49a22667d67cd82a7441569cbaefc2947ade507d3d52dda47629ab60a5 |
|
MD5 | 3bdf21547a27bf84ff3babc84acc4a34 |
|
BLAKE2b-256 | 2fe7de2326124daa27c4207b3b9e57b143e84f15d60557a18ecc21babed5622d |
Close
Hashes for jupyterhub_nativeauthenticator-1.0.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b2d64bf0b0dae812f2a2e2ed95f819953fabbed343da36e41e4abea8acce7aab |
|
MD5 | b275fe1bb06b6ab26dc188795ad12235 |
|
BLAKE2b-256 | dfaca7e94389bbaee4aa653dba54f5a6d0bc0c58dc07120b25aa14230627ff50 |