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 webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
An alternative to the @__DIR__ macro. Packages that wish to reference paths in their project directory run into issues with relocatability when used in conjunction with PackageCompiler.
This package contains simple routines for finding roots, or zeros, of scalar functions of a single real variable using floating-point math.
Julia package for probability distributions and associated functions. Particularly, Distributions implements:
Moments (e.g mean, variance, skewness, and kurtosis), entropy, and other properties
Probability density/mass functions (pdf) and their logarithm (logpdf)
Moment generating functions and characteristic functions
Sampling from population or from a distribution
Maximum likelihood estimation
repo2docker fetches a git repository and builds a container image based on the configuration files found in the repository.
Function decoration for backoff and retry
Python client for the etcd3 API
JupyterHub is the best way to serve Jupyter notebook for multiple users. It can be used in a classes of students, a corporate data science group or scientific research group. It is a multi-user Hub that spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.
An implementation of the JupyterHub proxy api with traefik: an extremely lightweight, portable reverse proxy implementation, that supports load balancing and can configure itself automatically and dynamically.
Simple, generic API for escaping strings.
The Littlest JupyterHub (TLJH) distribution helps you provide Jupyter Notebooks to 1-50 users on a single server. Administrators who do not consider themselves 'system administrators' but would like to provide hosted Jupyter Notebooks for their students / users are the primary audience. All users are provided with the same environment, and administrators can easily install libraries into this environment without any specialized knowledge.
Cri-tools aims to provide a series of debugging and validation tools for Kubelet CRI.
Kubernetes is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.
Cri-tools aims to provide a series of debugging and validation tools for Kubelet CRI.
Kubernetes is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.
Kubernetes is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.
Cri-tools aims to provide a series of debugging and validation tools for Kubelet CRI.
Cri-tools aims to provide a series of debugging and validation tools for Kubelet CRI.
Kubernetes is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.
Minikube implements a local Kubernetes cluster. Minikube's primary goals are to be the best tool for local Kubernetes application development and to support all Kubernetes features that fit.
Small testing framework for Common Lisp. The entire API consists of: test, is, signals, finishes, run, suite and setf suite.
SCRibe-like reader extension for Common Lisp.
SCRibe-like reader extension for Common Lisp.
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The fare-memoization library builds on an age-old idea: dynamically memoizing Lisp functions. A memoized function remembers results from previous computations, and returns cached results when called with the same arguments again, rather than re-doing the computation.