The enhanced Python fork of JILL -- Julia Installer for Linux (MacOS, Windows and FreeBSD) -- Light
Why jill.py
? Distro package managers (e.g., apt
, pac
) is likely to provide a broken Julia with
incorrect binary dependencies (e.g., LLVM
) versions. Hence it's recommended to download and
extract the Julia binary provided in Julia Downloads. jill.py
doesn't
do anything magical, but just makes such operation even stupid.
Using Python to install Julia? This is because Python has became one of the main tool for sys admins and it's available in all platforms; this makes a cross-platform installer for Julia possible.
Is it safe to use this? Yes, jill.py
use GPG to check every tarballs after downloading. Also, *.dmg
/*.pkg
for macOS and
.exe
for Windows are already singed.
let's make a simple and stupid julia installer
- download Julia release from the nearest mirror server.
- immediately knows once there's a new Julia release.
- across multiple platforms.
- manage multiple julia releases.
First you'll need to install jill
using pip: pip install jill --user -U
Note that Python >= 3.6
is required. For base docker images, you also need to make sure wget
and gnupg
are installed.
Basic usage:
jill install [version] [--confirm] [--upstream UPSTREAM] [--unstable] [--reinstall] [--install_dir INSTALL_DIR] [--symlink_dir SYMLINK_DIR]
For the first-time users of jill.py
, you may need to modify PATH
accordingly so that your shell can find the executables when you type julia
.
When you type jill install
(the simplest usage), it does the following things:
- query latest stable release, it's
1.6.1
at the time of writing. - download, verify and install julia
1.6.1
- make alias:
julia
,julia-1
,julia-1.6
- for nightly build, it only bind alias to
julia-latest
- for nightly build, it only bind alias to
Valid version
syntax:
stable
: latest stable release1
: latest stable1.y.z
release1.2
: latest stable1.2.z
release1.2.3
/1.2.3-rc1
: as it isnightly
/latest
: nightly builds
At the time of writing, "1.6.1" and "1.7.0-beta1" are released, while "1.7.0" isn't yet.
There are two ways to install an unstable release version 1.7.0-beta1
:
jill install 1.7.0-beta1
, as you explicitly requested, installs "1.7.0-beta1" for you.jill install 1.7 --unstable
will give you the latest 1.7.x version including those unstable ones. Because "1.7.0" is not released yet, it will gives you "1.7.0-beta1". The result may change when more releases are coming. Note that it won't include the "nightly" builds.
Here's a list of slightly advanced usages that you may be interested in:
- download only:
- latest stable release for current system:
jill download
- specific system:
jill download --sys freebsd --arch x86_64
- download Julia to specific dir:
jill download --outdir another/dir
- latest stable release for current system:
- install Julia for current system:
- (linux only) system-wide for root:
sudo jill install
- upgrade from older julia version:
jill install --upgrade
(copy and paste the root environment folder) - don't need interactive promopt:
jill install --confirm
- (linux only) system-wide for root:
- upstream:
- from specific upstream:
jill install --upstream Official
- find out all registered upstreams:
jill upstream
- add a private upstream: make a modifed copy of public registry at:
- Linux, MacOS and FreeBSD:
~/.config/jill/sources.json
- Windows:
~/AppData/Local/julias/sources.json
- Linux, MacOS and FreeBSD:
- from specific upstream:
You can find a more verbose documentation using jill [COMMAND] -h
(e.g., jill download -h
)
For Julia (>= 1.5.0) in Linux with musl
dependency, you can
- install it normally, i.e., using
jill install
;jill
knows that you're usingmusl
. - download it by passing
--sys musl
command. In the meantime,--sys linux
will give you Julia binaries built withglibc
dependency.
Setting environment variable JILL_UPSTREAM
will disable the fancy "find-the-nearest-upstream"
feature of jill
and give you a faster download experience if you just know which upstream is the
fastest. (It has lower priorty than --upstream
flag.)
jill.py
also provides a set of Python API:
from jill.install import install_julia
from jill.download import download_package
# equivalent to `jill install --confirm`
install_julia(confirm=True)
# equivalent to `jill download`
download_package()
You can read its docstring (e.g., ?install_julia
) for more information.
If you're tired of seeing (xx days old master)
in your nightly build version, then jill
can
make your nightly build always the latest version using cron
:
# /etc/cron.d/jill
PATH=/usr/local/bin:/usr/sbin:/usr/sbin:/usr/bin:/sbin:/bin
# install a fresh nightly build every day
* 0 * * * root jill install latest --confirm
Similarly, you can also add a cron job for jill install --confirm
so that you always get a
latest stable release for julia
. jill
knows the existence of a new version of Julia once
it's released -- you don't even need to upgrade jill
.
Please check out register new mirror.