Download and install
There are nightly binary builds available. Those builds are not always as stable as the release, but they contain numerous bugfixes and performance improvements.
Here are the various binaries of PyPy 1.7 that we provide for x86 Linux, Mac OS/X or Windows.
- Installing (optional)
- Building from source
“JIT Compiler” version
These binaries include a Just-in-Time compiler. They only work on x86 CPUs that have the SSE2instruction set (most of them do, nowadays), or on x86-64 CPUs. (This is the official release 1.7; for the most up-to-date version see below.)
- Linux binary (32bit)
- Linux binary (64bit)
- Mac OS/X binary (64bit)
- Windows binary (32bit) release c – not ready yet
If your CPU is really old, it may not have SSE2. In this case, you need to translate yourself with the option --jit-backend=x86-without-sse2.
The other versions of PyPy are:
- The most up-to-date nightly build with a JIT, if the official release is too old for what you want to do.
- No JIT: A version without the JIT. Consumes a bit less memory and may be faster on short-running scripts.
- Stackless: Provides Stackless extensions, as well as greenlets. It is not possible right now to combine Stackless features with the JIT.
- Sandboxing: A special safe version. Read the docs about sandboxing. (It is also possible totranslate a version that includes both sandboxing and the JIT compiler, although as the JIT is relatively complicated, this reduces a bit the level of confidence we can put in the result.)
All binary versions are packaged in a tar.bz2 or zip file. When uncompressed, they run in-place. For now you can uncompress them either somewhere in your home directory or, say, in/opt, and if you want, put a symlink from somewhere like /usr/local/bin/pypy to/path/to/pypy-1.7/bin/pypy. Do not move or copy the executable pypy outside the tree – put a symlink to it, otherwise it will not find its libraries.
Building from source
- Get the source code. The following packages contain the source at the same revision as the above binaries:
- pypy-1.7-src.tar.bz2 (sources, Unix line endings)
- pypy-1.7-src.zip (sources, Unix line endings too, sorry)
Or you can checkout the current trunk using Mercurial (the trunk usually works and is of course more up-to-date):
hg clone https://bitbucket.org/pypy/pypy
- Make sure you installed the dependencies. See the list here.
- Enter the goal directory:
- Run the translate.py script. Here are the common combinations of options (works also with python instead of pypy):
pypy translate.py -Ojit # get the JIT version pypy translate.py -O2 # get the no-jit version pypy translate.py -O2 --sandbox # get the sandbox version pypy translate.py -O2 --stackless # get the stackless version pypy translate.py -Ojit --backend=cli # only for branch/cli-jit
- Enjoy Mandelbrot It takes on the order of half an hour to finish the translation, and 2.x GB of RAM on a 32-bit system and 4.x GB on 64-bit systems. (Do not start a translation on a machine with insufficient RAM! It will just swap forever. See notes below in that case.)
- It is recommended to use PyPy to do translations, instead of using CPython, because it is twice as fast. You should just start by downloading an official release of PyPy (with the JIT). If you really have to use CPython then note that we are talking about CPython 2.5-2.7 here, not CPython 3.x.
- If RAM usage is a problem (or if you are on Windows, because win32’s limit is 2 GB unless you hack a lot), then you can (for now) tweak some parameters via environment variables and command-line options. The following command takes a bit more time, but finishes with only using 3.0 GB of RAM (on Linux 64-bit; probably not much more than 1.6 GB on 32-bit). It should be noted that it is less than with CPython.
PYPY_GC_MAX_DELTA=200MB pypy --jit loop_longevity=300 ./translate.py -Ojit
- Because of asmgcroot, compiling the generated C files containing the JIT is delicate. It requires using either MSVC or gcc with no particularly fancy options. It does not work e.g. with clang, or if you pass uncommon options with the CFLAGS environment variable. You can also try to compile PyPy with the shadow stack option.
Once PyPy is translated from source the binary package similar to those provided in the sectionDefault (with a JIT Compiler) above could be easily created with package.py script as following:
cd ./pypy/pypy/tool/release/ python package.py ../../.. pypy-my-own-package-name
Here are the checksums for each of the downloads (md5 and sha1):
ceb8dfe7d9d1aeb558553b91b381a1a8 pypy-1.7-linux64.tar.bz2 8a6e2583902bc6f2661eb3c96b45f4e3 pypy-1.7-linux.tar.bz2 ff979054fc8e17b4973ffebb9844b159 pypy-1.7-osx64.tar.bz2 d364e3aa0dd5e0e1ad7f1800a0bfa7e87250c8bb pypy-1.7-linux64.tar.bz2 68554c4cbcc20b03ff56b6a1495a6ecf8f24b23a pypy-1.7-linux.tar.bz2 cedeb1d6bf0431589f62e8c95b71fbfe6c4e7b96 pypy-1.7-osx64.tar.bz2