Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
A configurable-on-the-fly HTTP Proxy
Color your terminal using CSS/hex color codes
Streams3, a user-land copy of the stream library from Node.js
Browser-friendly inheritance fully compatible with standard node.js inherits()
Check if a protocol requires a certain port number to be added to an URL.
Simply swizzle your arguments
A logger for just about everything.
Plain color conversion functions
Color conversion and manipulation with CSS string support
Check if a certain debug flag is enabled.
javascript implementation of Dunning's T-Digest for streaming quantile approximation
A list of color names and its values
HTTP and HTTPS modules that follow redirects.
The systemdspawner enables JupyterHub to spawn single-user notebook servers using systemd.
This package provides a spawner for Jupyterhub to spawn notebooks using batch resource managers.
The SudoSpawner enables JupyterHub to spawn single-user servers without being root, by spawning an intermediate process via sudo, which takes actions on behalf of the user.
JupyterHub: A multi-user server for Jupyter notebooks
LDAP Authenticator for JupyterHub
An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.
This package includes WrapSpawner and ProfilesSpawner, which provide mechanisms for runtime configuration of spawners. The inspiration for their development was to allow users to select from a range of pre-defined batch job profiles, but their operation is completely generic.
Jupyter telemetry library
Orbax is a namespace providing common utility libraries for JAX users. Orbax also includes a serialization library for JAX users, enabling the exporting of JAX models to the TensorFlow SavedModel format.
This package provides a set of scikit-learn-style transformers for encoding categorical variables into numeric by means of different techniques.
Accelerate was created for PyTorch users who like to write the training loop of PyTorch models but are reluctant to write and maintain the boilerplate code needed to use multi-GPUs/TPU/fp16. It abstracts exactly and only the boilerplate code related to multi-GPUs/TPU/fp16 and leaves the rest of your code unchanged.