This package allows one to use conda as a binary provider for Julia. While other binary providers like Hombrew.jl, AptGet or WinRPM.jl are platform-specific, Conda.jl is a cross-platform alternative. It can also be used without administrator rights, in contrast to the current Linux-based providers.
As such, Conda.jl
primary audience is Julia packages developers who have a dependency on
some native library.
conda
is a package manager which started as the binary package manager
for the Anaconda Python distribution, but it also provides arbitrary packages.
Instead of the full Anaconda distribution, Conda.jl
uses the miniconda Python environment,
which only includes conda
and its dependencies.
Conda.jl
is NOT an alternative Julia package manager, nor a way to manage Python
installations. It will not use any pre-existing Anaconda or Python installation on
your machine.
You can install this package by running Pkg.add("Conda")
at the Julia prompt.
Basic package managing utilities are provided in the Conda module:
Conda.add(package)
: install a package;Conda.rm(package)
: remove (uninstall) a package;Conda.update()
: update all installed packages to the latest version;Conda.list()
: list all installed packages.
Conda.jl can be used as a Provider
for BinDeps
with the Conda.Manager
type. You first need to write a
conda recipe,
and upload the corresponding build to binstar.
Then, add Conda in your REQUIRE file, and add the following to your deps/build.jl
file:
using BinDeps
@BinDeps.setup
netcdf = library_dependency("netcdf", aliases = ["libnetcdf","libnetcdf4"])
...
using Conda
provides(Conda.Manager, "libnetcdf", netcdf)
If your dependency is available in another channel than the default one, you should add that channel in the CHANNELS array. For example, if you use binstar:
using Conda
push!(Conda.CHANNELS, "https://conda.binstar.org/<username>")
provides(Conda.Manager, "libnetcdf", netcdf)
If the binary dependency is only available for some OS, give this information to BinDeps:
provides(Conda.Manager, "libnetcdf", netcdf, os=:Linux)
Conda have been tested on Linux, OS X, and Windows. It should work on all these platforms.
Please report any bug or suggestion as an issue
The Conda.jl package is licensed under the MIT Expat license, and is copyrighted by Guillaume Fraux and contributors.