Skip to main content

It provides:

  • a powerful N-dimensional array object

  • sophisticated (broadcasting) functions

  • tools for integrating C/C++ and Fortran code

  • useful linear algebra, Fourier transform, and random number capabilities

  • and much more

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

All NumPy wheels distributed on PyPI are BSD licensed.

Metadata

Release files for numpy 1.16.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numpy 1.16.6
File Size Uploaded
numpy-1.16.6.zip 5.1 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for numpy 1.16.6
File
numpy-1.16.6-cp37-cp37m-win_amd64.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
numpy-1.16.6-cp37-cp37m-win32.whl CPython 3.7 CPython 3.7 pymalloc Windows x86-32 Details
numpy-1.16.6-cp37-cp37m-manylinux1_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 Details
numpy-1.16.6-cp37-cp37m-manylinux1_i686.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32 Details
numpy-1.16.6-cp37-cp37m-macosx_10_9_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details
numpy-1.16.6-cp36-cp36m-win_amd64.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details
numpy-1.16.6-cp36-cp36m-win32.whl CPython 3.6 CPython 3.6 pymalloc Windows x86-32 Details
numpy-1.16.6-cp36-cp36m-manylinux1_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 Details
numpy-1.16.6-cp36-cp36m-manylinux1_i686.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32 Details
numpy-1.16.6-cp36-cp36m-macosx_10_9_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 Details
numpy-1.16.6-cp35-cp35m-win_amd64.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-64 Details
numpy-1.16.6-cp35-cp35m-win32.whl CPython 3.5 CPython 3.5 pymalloc Windows x86-32 Details
numpy-1.16.6-cp35-cp35m-manylinux1_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64 Details
numpy-1.16.6-cp35-cp35m-manylinux1_i686.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32 Details
numpy-1.16.6-cp35-cp35m-macosx_10_9_intel.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.9+ Intel (x86-64, i386) Details
numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64 Details
numpy-1.16.6-cp27-cp27mu-manylinux1_i686.whl CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-32 Details
numpy-1.16.6-cp27-cp27m-win_amd64.whl CPython 2.7 CPython 2.7 pymalloc Windows x86-64 Details
numpy-1.16.6-cp27-cp27m-win32.whl CPython 2.7 CPython 2.7 pymalloc Windows x86-32 Details
numpy-1.16.6-cp27-cp27m-manylinux1_x86_64.whl CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64 Details
numpy-1.16.6-cp27-cp27m-manylinux1_i686.whl CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-32 Details
numpy-1.16.6-cp27-cp27m-macosx_10_9_x86_64.whl CPython 2.7 CPython 2.7 pymalloc macOS 10.9+ x86-64 Details

Total release size: 307.8 MB

Release files / numpy-1.16.6.zip

Download URL numpy-1.16.6.zip
Size 5.1 MB
Tags Source
SHA-256 checksum
How to use checksums
e5cf3fdf13401885e8eea8170624ec96225e2174eb0c611c6f26dd33b489e3ff
BLAKE2b-256 checksum
How to use checksums
b76f24647f014eef9b67a24adfcbcd4f4928349b4a0f8393b3d7fe648d4d2de3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp37-cp37m-win_amd64.whl

Download URL numpy-1.16.6-cp37-cp37m-win_amd64.whl
Size 11.9 MB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
6b1853364775edb85ceb0f7f8214d9e993d4d1d9bd3310eae80529ea14ba2ba6
BLAKE2b-256 checksum
How to use checksums
0325d525fd3da596a4564497e1323d3e3c63c02bd911cdbd53dc180f15aae009
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp37-cp37m-win32.whl

Download URL numpy-1.16.6-cp37-cp37m-win32.whl
Size 10.0 MB
Tags CPython 3.7 CPython 3.7 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
c9fb4fcfcdcaccfe2c4e1f9e0133ed59df5df2aa3655f3d391887e892b0a784c
BLAKE2b-256 checksum
How to use checksums
d058cbfcea995b242618e3e4edebf893e0400d1cc2dc28c178d699e002caf6d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp37-cp37m-manylinux1_x86_64.whl

Download URL numpy-1.16.6-cp37-cp37m-manylinux1_x86_64.whl
Size 17.3 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
a1772dc227e3e415eeaa646d25690dc854bddc3d626e454c7c27acba060cb900
BLAKE2b-256 checksum
How to use checksums
1706337132f52ae41fca603473f44f4ea100eb030e096da0ea38563a74f63872
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp37-cp37m-manylinux1_i686.whl

Download URL numpy-1.16.6-cp37-cp37m-manylinux1_i686.whl
Size 14.8 MB
Tags CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
390f6e14a8d73591f086680464aa101a9be9187d0c633f48c98b429b31b712c2
BLAKE2b-256 checksum
How to use checksums
d7c492a598b41b353e97a593b8890f23389cd44bf0e41d1479e62efe8d56c397
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp37-cp37m-macosx_10_9_x86_64.whl

Download URL numpy-1.16.6-cp37-cp37m-macosx_10_9_x86_64.whl
Size 13.9 MB
Tags CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
97ddfa7688295d460ee48a4d76337e9fdd2506d9d1d0eee7f0348b42b430da4c
BLAKE2b-256 checksum
How to use checksums
7113c4ad2b3d3dfe9254616a2f9aa4b640d6d099a65f93aeec4527566368ee34
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp36-cp36m-win_amd64.whl

Download URL numpy-1.16.6-cp36-cp36m-win_amd64.whl
Size 11.9 MB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
77399828d96cca386bfba453025c34f22569909d90332b961d3d4341cdb46a84
BLAKE2b-256 checksum
How to use checksums
16a0eb338d00bcd55d1ca5c0c56679c23dc303a4b8fe12118e6351f19c67435c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp36-cp36m-win32.whl

Download URL numpy-1.16.6-cp36-cp36m-win32.whl
Size 10.0 MB
Tags CPython 3.6 CPython 3.6 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
23cad5e5858dfb73c0e5bce03fe78e5e5908c22263156c58d4afdbb240683c6c
BLAKE2b-256 checksum
How to use checksums
6d8051f963cf2a4c5d8bed8b283642be31f74745e319ec171348f8514918e605
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp36-cp36m-manylinux1_x86_64.whl

Download URL numpy-1.16.6-cp36-cp36m-manylinux1_x86_64.whl
Size 17.4 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
60c56922c9d759d664078fbef94132377ef1498ab27dd3d0cc7a21b346e68c06
BLAKE2b-256 checksum
How to use checksums
90b1ba7e59da253c58aaf874ea790ae71d6870255a5243010d94688c41618678
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp36-cp36m-manylinux1_i686.whl

Download URL numpy-1.16.6-cp36-cp36m-manylinux1_i686.whl
Size 14.8 MB
Tags CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
34e6bb44e3d9a663f903b8c297ede865b4dff039aa43cc9a0b249e02c27f1396
BLAKE2b-256 checksum
How to use checksums
565d384e2a3631cc84538bee0c78c68e7f7875b0e6d4345ba19a1462efb47097
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp36-cp36m-macosx_10_9_x86_64.whl

Download URL numpy-1.16.6-cp36-cp36m-macosx_10_9_x86_64.whl
Size 13.9 MB
Tags CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
3f423b06bf67cd1dbf72e13e9b53a9ca71972e5abf712ee6cb5d8cbb178fff02
BLAKE2b-256 checksum
How to use checksums
4766214b2ee63ffa9ffb562393ffa56a582aad3f8c39a49b8671131f7df04103
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp35-cp35m-win_amd64.whl

Download URL numpy-1.16.6-cp35-cp35m-win_amd64.whl
Size 11.9 MB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
a1ffc9c770ccc2be9284310a3726c918b26ca19b34c0079e7a41aba950ab175f
BLAKE2b-256 checksum
How to use checksums
db84ba7f1d8bb6cf6376d46df2bac27ec980fe969acc8a21bab6685e1eff5813
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp35-cp35m-win32.whl

Download URL numpy-1.16.6-cp35-cp35m-win32.whl
Size 10.0 MB
Tags CPython 3.5 CPython 3.5 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
55cae40d2024c56e7b79fb070106cb4289dcc6b55c62dba1d89a6944448c6a53
BLAKE2b-256 checksum
How to use checksums
b3b473d9c04a92cb73794f865f1d62b67ad652f107592529347a99a273a8dcd1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp35-cp35m-manylinux1_x86_64.whl

Download URL numpy-1.16.6-cp35-cp35m-manylinux1_x86_64.whl
Size 17.2 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
b9e334568ca1bf56598eddfac6db6a75bcf1c91aa90d598648f21e45207daeae
BLAKE2b-256 checksum
How to use checksums
0b0f98896bfd28cb10c439b332878cb863e6ba9ded84e4d5d0b4b32cc2bd12c5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp35-cp35m-manylinux1_i686.whl

Download URL numpy-1.16.6-cp35-cp35m-manylinux1_i686.whl
Size 14.7 MB
Tags CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
9bb690692f3101583b0b99f3be362742e4f8ebe6c7934fa36cd8ca2b567a0bcc
BLAKE2b-256 checksum
How to use checksums
1c3f308160ef74ae24cfe3d150114027260fe5d7449ee53b0c1ca987dc8f36dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp35-cp35m-macosx_10_9_intel.whl

Download URL numpy-1.16.6-cp35-cp35m-macosx_10_9_intel.whl
Size 13.9 MB
Tags CPython 3.5 CPython 3.5 pymalloc macOS 10.9+ Intel (x86-64, i386)
SHA-256 checksum
How to use checksums
a4383edb1b8caa989c3541a37ef204916322c503b8eeacc7ee8f4ba24cac97b8
BLAKE2b-256 checksum
How to use checksums
d121f8443b67fd9245af55dc2c858e05d13c684419289fd58b6b5e9a221e981f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl

Download URL numpy-1.16.6-cp27-cp27mu-manylinux1_x86_64.whl
Size 17.0 MB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
1680c8d5086a88d293dfd1a10b6429a09140cacee878034fa2308472ec835db4
BLAKE2b-256 checksum
How to use checksums
3a5f47e578b3ae79e2624e205445ab77a1848acdaa2929a00eeef6b16eaaeb20
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp27-cp27mu-manylinux1_i686.whl

Download URL numpy-1.16.6-cp27-cp27mu-manylinux1_i686.whl
Size 14.5 MB
Tags CPython 2.7 CPython 2.7 pymalloc wide-unicode Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
817eed5a6ec2fc9c1a0ee3fbf9a441c66b6766383580513ccbdf3121acc0b4fb
BLAKE2b-256 checksum
How to use checksums
fd54aee23cfc1cdca5064f9951eefd3c5b51cff0cecb37965d4910779ef6b792
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp27-cp27m-win_amd64.whl

Download URL numpy-1.16.6-cp27-cp27m-win_amd64.whl
Size 11.9 MB
Tags CPython 2.7 CPython 2.7 pymalloc Windows x86-64
SHA-256 checksum
How to use checksums
7a5a1f49a643aa1ab3e0579da0a48b8a48ea4369eb63c5065459d0a37f430237
BLAKE2b-256 checksum
How to use checksums
14ef9f2eeb4ff0c733ad9149f17266e388c308e171fdb8c2415dbb472e2bbc0f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp27-cp27m-win32.whl

Download URL numpy-1.16.6-cp27-cp27m-win32.whl
Size 10.0 MB
Tags CPython 2.7 CPython 2.7 pymalloc Windows x86-32
SHA-256 checksum
How to use checksums
345b1748e6b0d4773a518868c783b16fdc33a22683bdb863484cd29fe8d206e6
BLAKE2b-256 checksum
How to use checksums
0bcc9e84addc909c73d825fee5b69804da964552650b22dad92d23363fcac4e8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp27-cp27m-manylinux1_x86_64.whl

Download URL numpy-1.16.6-cp27-cp27m-manylinux1_x86_64.whl
Size 17.0 MB
Tags CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-64
SHA-256 checksum
How to use checksums
d3c5377c6122de876e695937ef41ffee5d2831154c5e4856481b93406cdfeecb
BLAKE2b-256 checksum
How to use checksums
be2d435fa0231f29a6ee34178be7a66910ac0b2c7badd9c36bffc0d0cf327fce
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp27-cp27m-manylinux1_i686.whl

Download URL numpy-1.16.6-cp27-cp27m-manylinux1_i686.whl
Size 14.5 MB
Tags CPython 2.7 CPython 2.7 pymalloc Linux glibc 2.5+ x86-32
SHA-256 checksum
How to use checksums
d759ca1b76ac6f6b6159fb74984126035feb1dee9f68b4b961889b6dc090f33a
BLAKE2b-256 checksum
How to use checksums
91440c91ff95b9b6957fddcb7d7fa84c8570e17356a82ebcf275c930b634d53d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release files / numpy-1.16.6-cp27-cp27m-macosx_10_9_x86_64.whl

Download URL numpy-1.16.6-cp27-cp27m-macosx_10_9_x86_64.whl
Size 13.9 MB
Tags CPython 2.7 CPython 2.7 pymalloc macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
08bf4f66f190822f4642e036accde8da810b87fffc0b9409e7a00d9e54760099
BLAKE2b-256 checksum
How to use checksums
099684cf406fe7d589f3dba9fc0f737e65985a3526c6d8c783f02d4b5a10825d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.7.2 requests-toolbelt/0.9.1 tqdm/4.40.0 CPython/3.7.5

Release history Release notifications | RSS feed

2.5.0

44 release files

2.4.6

72 release files

2.4.5

72 release files

2.4.4

72 release files

2.4.2

72 release files

2.4.1

72 release files

2.4.0

72 release files

2.3.5

74 release files

2.3.4

74 release files

2.3.2

74 release files

2.3.1

51 release files

2.2.6

55 release files

2.2.5

55 release files

2.2.4

55 release files

2.2.3

55 release files

2.2.2

55 release files

2.2.1

55 release files

2.1.0

52 release files

2.0.2

45 release files

2.0.1

45 release files

2.0.0

45 release files

This release

1.16.6 This release

23 release files

1.9.3

13 release files

1.8.1

11 release files

1.8.0

8 release files

1.7.2

8 release files

1.7.0

14 release files

1.6.2

12 release files

1.6.1

12 release files

1.6.0

12 release files

1.5.1

6 release files

1.5.0

2 release files

1.4.1

1 release file

1.4.0

1.3.0

2 release files

1.2.1

1.2.0

1.1.1

1.0.4

1.0.3

1.0

1 release file

1.0rc3

1.0rc2

1.0rc1

1.0b5

1.0b4

1.0b1

0.9.8

0.9.6

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page