matplotlib

matplotlib strives to produce publication quality 2D graphics: for interactive graphing, scientific publishing, user interface development and web application servers targeting multiple user interfaces and hardcopy output formats. There is a ‘pylab’ mode which emulates matlab graphics.

Metadata

Release files for matplotlib 1.5.1

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

Source distribution (sdist)

Source distribution for matplotlib 1.5.1
File	Size	Uploaded
matplotlib-1.5.1.tar.gz	54.0 MB	Jan 11, 2016	Details

Built distributions (wheels)

Table of built distributions (wheels) for matplotlib 1.5.1
File	Interpreter	ABI	Platform	Reset
matplotlib-1.5.1-cp35-none-win_amd64.whl 6.5 MB Jan 11, 2016	CPython 3.5	none	Windows x86-64	Details
matplotlib-1.5.1-cp35-none-win32.whl 6.2 MB Jan 11, 2016	CPython 3.5	none	Windows x86-32	Details
matplotlib-1.5.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 49.7 MB Jan 11, 2016	CPython 3.5	CPython 3.5 pymalloc	macOS 10.9+ x86-64, macOS 10.10+ Intel (x86-64, i386), macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.9+ Intel (x86-64, i386)	Details
matplotlib-1.5.1-cp34-none-win_amd64.whl 6.1 MB Jan 11, 2016	CPython 3.4	none	Windows x86-64	Details
matplotlib-1.5.1-cp34-none-win32.whl 5.9 MB Jan 11, 2016	CPython 3.4	none	Windows x86-32	Details
matplotlib-1.5.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 49.7 MB Jan 11, 2016	CPython 3.4	CPython 3.4 pymalloc	macOS 10.9+ Intel (x86-64, i386), macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64	Details
matplotlib-1.5.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 49.7 MB Jan 11, 2016	CPython 3.3	CPython 3.3 pymalloc	macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64, macOS 10.10+ Intel (x86-64, i386)	Details
matplotlib-1.5.1-cp27-none-win_amd64.whl 6.1 MB Jan 11, 2016	CPython 2.7	none	Windows x86-64	Details
matplotlib-1.5.1-cp27-none-win32.whl 6.0 MB Jan 11, 2016	CPython 2.7	none	Windows x86-32	Details
matplotlib-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 49.7 MB Jan 11, 2016	CPython 2.7	none	macOS 10.10+ Intel (x86-64, i386), macOS 10.9+ Intel (x86-64, i386), macOS 10.9+ x86-64, macOS 10.6+ Intel (x86-64, i386), macOS 10.10+ x86-64	Details

Total release size: 289.5 MB

Release files / matplotlib-1.5.1.tar.gz

Download URL	matplotlib-1.5.1.tar.gz
Size	54.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`3ab8d968eac602145642d0db63dd8d67c85e9a5444ce0e2ecb2a8fedc7224d40`
BLAKE2b-256 checksum How to use checksums	`8ff4c0c7e81f64d5f4d36e52e393af687f28882c53dcd924419d684dc9859f40`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp35-none-win_amd64.whl

Download URL	matplotlib-1.5.1-cp35-none-win_amd64.whl
Size	6.5 MB
Tags	CPython 3.5 Windows x86-64
SHA-256 checksum How to use checksums	`855287ddda6dfb4c6f580c96a8ce25f4c48551c4d68adbabfebbff3d88caa011`
BLAKE2b-256 checksum How to use checksums	`b129c54fd5ab22c8f5626f8d2565be66dca36f2135c487793ac9fece73a93d63`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp35-none-win32.whl

Download URL	matplotlib-1.5.1-cp35-none-win32.whl
Size	6.2 MB
Tags	CPython 3.5 Windows x86-32
SHA-256 checksum How to use checksums	`4a8454dfd443ed33563cf0e985c40e2979599035c50e6e9f88ac9ea41c5adbbe`
BLAKE2b-256 checksum How to use checksums	`8c3eba8ca68ce62173b1a1ef0df4c30a8291ba9101911d4bb2d66f2dedae1260`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	matplotlib-1.5.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	49.7 MB
Tags	CPython 3.5 CPython 3.5 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`963b89dd5cabb34c486be9e341c1e9c1815b003f18e9e17413e933f57eb8004e`
BLAKE2b-256 checksum How to use checksums	`75a0823733327133be8f91beb6d05e487906b47d98c55154bf042bf7917b78e1`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp34-none-win_amd64.whl

Download URL	matplotlib-1.5.1-cp34-none-win_amd64.whl
Size	6.1 MB
Tags	CPython 3.4 Windows x86-64
SHA-256 checksum How to use checksums	`0672f6327e6cbb37333c1c326b9098ecf8827f0c3c0499792823d8055e5e7efb`
BLAKE2b-256 checksum How to use checksums	`805d5a51d83c7e3f511fd51710281a332ec02024239643d65b13ef3f65e902a6`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp34-none-win32.whl

Download URL	matplotlib-1.5.1-cp34-none-win32.whl
Size	5.9 MB
Tags	CPython 3.4 Windows x86-32
SHA-256 checksum How to use checksums	`4b87c09a3a7cf324de8b9a8cca67e57c5dc21af81d64769401751ba2e65c7b34`
BLAKE2b-256 checksum How to use checksums	`ee6f66ed15d9d024a843b77384eb13b86020488afc9ff63f96ef847d06274efa`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	matplotlib-1.5.1-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	49.7 MB
Tags	CPython 3.4 CPython 3.4 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`eca6394a24d83a1b443b79f44ede1ffe6bd133cf03e3f9dca99ba5ac17321869`
BLAKE2b-256 checksum How to use checksums	`4a3ba193f4a04cfc263c0463575c5a18f12840d595080bf94430142aa8e8b392`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	matplotlib-1.5.1-cp33-cp33m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	49.7 MB
Tags	CPython 3.3 CPython 3.3 pymalloc macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`f4006b5604600211e10cda005491e094e1817b93e837307129928e528381d471`
BLAKE2b-256 checksum How to use checksums	`aff42721807321bc3e2eb7b45ac25384e3b5aa5b7d8888aed8e06de128929637`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp27-none-win_amd64.whl

Download URL	matplotlib-1.5.1-cp27-none-win_amd64.whl
Size	6.1 MB
Tags	CPython 2.7 Windows x86-64
SHA-256 checksum How to use checksums	`56c8c2f490bfe167bc9ff0223ab20ef63062c4499f3af6e618cf7b3b4ff5b39d`
BLAKE2b-256 checksum How to use checksums	`ec58d8ea01780981849f2e31f9c22450f06facf4f8a65130ffe182b2825aaa98`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp27-none-win32.whl

Download URL	matplotlib-1.5.1-cp27-none-win32.whl
Size	6.0 MB
Tags	CPython 2.7 Windows x86-32
SHA-256 checksum How to use checksums	`a2dc1497eeb495bf7741f63a1da19e1a1da73a6ff8e62acc6dd2d74b970adddd`
BLAKE2b-256 checksum How to use checksums	`be383ffb65a3f73f8526499a75cde188dc19ac4a7df8ccf2730d0fd926571b5b`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / matplotlib-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl

Download URL	matplotlib-1.5.1-cp27-none-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
Size	49.7 MB
Tags	CPython 2.7 macOS 10.10+ Intel (x86-64, i386) macOS 10.10+ x86-64 macOS 10.6+ Intel (x86-64, i386) macOS 10.9+ Intel (x86-64, i386) macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`2b978f6cecabf3ecb899b6cdb47925ff90abf9eb0ed01f9498ca0c56d69d6d49`
BLAKE2b-256 checksum How to use checksums	`233f6c30c486490c53fcd4a8300431db8b652940511ae340e46d3bdb7dccd9ad`
Upload date	Jan 11, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release history Release notifications | RSS feed

3.11.2

Sep 11, 2026 53 release files

3.11.1

Jul 18, 2026 46 release files

3.11.0

Jun 12, 2026 46 release files

Pre-release

3.11.0rc2

May 13, 2026 46 release files

Pre-release

3.11.0rc1

Apr 24, 2026 46 release files

3.10.9

Apr 24, 2026 55 release files

3.10.8

Dec 10, 2025 55 release files

3.10.7

Oct 9, 2025 55 release files

3.10.6

Aug 30, 2025 55 release files

3.10.5

Jul 31, 2025 55 release files

3.10.3

May 8, 2025 34 release files

3.10.1

Feb 27, 2025 34 release files

3.10.0

Dec 14, 2024 34 release files

Pre-release

3.10.0rc1

Nov 1, 2024 34 release files

3.9.4

Dec 13, 2024 41 release files

3.9.3

Nov 30, 2024 41 release files

3.9.2

Aug 13, 2024 40 release files

3.9.1.post1

Aug 6, 2024 29 release files

Yanked

3.9.1

Jul 4, 2024 24 release files

Yanked reason: The Windows wheels, under some conditions, caused segfaults in unrelated user code. Due to this we deleted the Windows wheels to prevent these segfaults, however this caused greater disruption as pip then began to try (and fail) to build 3.9.1 from the sdist on Windows which impacted far more users. Yanking the whole release is the only tool available to eliminate these failures without changes to on the user side. The sdist, OSX wheel, and manylinux wheels are all functional and there are no critical bugs in the release. Downstream packagers should not yank their builds of Matplotlib 3.9.1. See https://github.com/matplotlib/matplotlib/issues/28551 for details.

3.9.0

May 15, 2024 29 release files