Ultralisp is a quicklisp distribution, which updates every 5 minutes.
How to add my own project?Add projects from Github
How to use it?
Open your Lisp REPL and eval:
(ql-dist:install-dist "http://dist.ultralisp.org/" :prompt nil)
Or if you are using Qlot, put these lines in your qlfile:
dist ultralisp http://dist.ultralisp.org/ ql :all :latest ultralisp :all :latest
Plug in a real database to store projects' metadata and other information. Integration with the GitHub to add projects in one click. Automatic distribution's ChangeLog generation.
- Support for project sources other than GitHub.
- Running tests for updated project and all dependent systems.
- Add your feature request at the Github.
How to help
Any help is appreciated. You can:
- Select an issue on the GitHub, assign yourself and send a pull request. Issues are marked as "good first issue", "medium" and "big story" to help you to select which impact do you want to make.
- Suggest your own ideas.
Gold sponsors will be listed at the bottom of this page, and grand sponsors on this separate page.
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|20201127050011||2020-11-27 05:00:11 UTC|
Recently added projects
|muyinliu/cl-atomic||A portable atomic library for Common Lisp|
|muyinliu/cl-fswatch||cl-fswatch is CFFI wrap of fswatch(https://github.com/emcrisostomo/fswatch), a cross-platform file change monitor.|
|muyinliu/cl-cpus||A Common Lisp feature to get number of CPUs on Linux/Mac/Windows|
|muyinliu/cl-diskspace||A Common Lisp feature to list disks with command line tool df(Linux/Mac) or GetLogicalDrives(Windows), and get disk space information using statvfs(Unix/Linux/Mac) or GetDiskFreeSpace(Windows), supports Unix/Linux/Mac/Windows.|
|tokenrove/imago||image manipulation library for Common Lisp|
|shamazmazum/wavelet-audio||Audio compressor which uses (4,2) CDF wavelet|
|shamazmazum/vp-trees||Vantage point trees for Common Lisp|
|shamazmazum/similar-images||Common Lisp library for finding similar images|
|shamazmazum/perceptual-hashes||Perceptual image hashing for Common Lisp|
|shamazmazum/neural-classifier||My attempt to write classification library based on neural networks.|