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
Check if something is a Node.js stream
Generate a hex color from the given text
Streams3, a user-land copy of the stream library from Node.js
Extract names from functions
EventEmitter3 focuses on performance while maintaining a Node.js AND browser compatible interface.
Base stream implementations for winston@3 and up.
Date formatting and parsing
An mutable object-based log format designed for chaining & objectMode streams.
Generate HEX colors for a given namespace.
Definitions of levels for logging purposes & shareable Symbol constants.
LDAP Authenticator for JupyterHub
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.
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.
JupyterHub: A multi-user server for Jupyter notebooks
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
PyDMD is a Python package designed for Dynamic Mode Decomposition (DMD), a data-driven method used for analyzing and extracting spatiotemporal coherent structures from time-varying datasets. It provides a comprehensive and user-friendly interface for performing DMD analysis, making it a valuable tool for researchers, engineers, and data scientists working in various fields.
AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.
This package provides a neural network library for PyTorch compatible with the scikit-learn API.
Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation and providing a delightful developer experience.
TensorStore is a C++ and Python software library designed for storage and manipulation of large multi-dimensional arrays that:
Provides advanced, fully composable indexing operations and virtual views.
Provides a uniform API for reading and writing multiple array formats, including zarr and N5.
Natively supports multiple storage systems, such as local and network filesystems, Google Cloud Storage, Amazon S3-compatible object stores, HTTP servers, and in-memory storage.
Offers an asynchronous API to enable high-throughput access even to high-latency remote storage.
Supports read caching and transactions, with strong atomicity, isolation, consistency, and durability (ACID) guarantees.
Supports safe, efficient access from multiple processes and machines via optimistic concurrency.