Datadog APM client library

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brettlangdon from gravatar.com brettlangdon Avatar for Datadog from gravatar.com Datadog Avatar for kyle-verhoog from gravatar.com kyle-verhoog Avatar for majorgreys from gravatar.com majorgreys

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD
  • Author: Datadog, Inc.
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Classifiers

Project description

dd-trace-py

ddtrace is Datadog's tracing library for Python. It is used to trace requests as they flow across web servers, databases and microservices so that developers have great visibility into bottlenecks and troublesome requests.

Getting Started

For a basic product overview, installation and quick start, check out our setup documentation.

For more advanced usage and configuration, check out our API documentation.

For descriptions of terminology used in APM, take a look at the official documentation.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for brettlangdon from gravatar.com brettlangdon Avatar for Datadog from gravatar.com Datadog Avatar for kyle-verhoog from gravatar.com kyle-verhoog Avatar for majorgreys from gravatar.com majorgreys

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD
  • Author: Datadog, Inc.
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Classifiers

Release history Release notifications | RSS feed

2.17.0rc2 pre-release

2.17.0rc1 pre-release

2.16.3

2.16.2

2.16.1

2.16.0

2.16.0rc2 pre-release

2.16.0rc1 pre-release

2.15.3

2.15.2

2.15.1

2.15.0

2.15.0rc3 pre-release

2.15.0rc2 pre-release

2.15.0rc1 pre-release

2.14.7

2.14.6

2.14.5

2.14.4

2.14.2

2.14.1

2.14.0

2.14.0rc1 pre-release

2.13.2

2.13.1

2.13.0

2.13.0rc1 pre-release

2.12.4

2.12.3

2.12.2

2.12.1

2.12.0

2.12.0rc2 pre-release

2.12.0rc1 pre-release

2.11.8

2.11.7

2.11.6

2.11.5

2.11.4

2.11.3

2.11.2

2.11.1

2.11.0

2.11.0rc2 pre-release

2.11.0rc1 pre-release

2.10.7

2.10.6

2.10.5

2.10.4

2.10.3

2.10.2

2.10.1

2.10.0

2.10.0rc4 pre-release

2.10.0rc3 pre-release

2.10.0rc2 pre-release

2.10.0rc1 pre-release

2.9.6

2.9.5

2.9.4

2.9.3

2.9.2

2.9.1

2.9.0

2.9.0rc9 pre-release

2.9.0rc8 pre-release

2.9.0rc7 pre-release

2.9.0rc6 pre-release

2.9.0rc5 pre-release

2.9.0rc4 pre-release

2.9.0rc3 pre-release

2.9.0rc2 pre-release

2.9.0rc1 pre-release

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.8.2

2.8.1

2.8.0

2.8.0rc2 pre-release

2.8.0rc1 pre-release

2.7.10

2.7.9

2.7.8

2.7.7

2.7.6

2.7.5

2.7.4

2.7.3

2.7.2

2.7.1

2.7.0

2.7.0rc1 pre-release

2.6.12

2.6.11

2.6.10

2.6.9

2.6.8

2.6.7

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.5.0rc2 pre-release

2.5.0rc1 pre-release

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.4.0rc1 pre-release

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.3.0rc1 pre-release

2.2.3

2.2.2

2.2.1

2.2.0

2.2.0rc1 pre-release

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.1.0rc2 pre-release

2.1.0rc1 pre-release

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0rc2 pre-release

1.20.19

1.20.18

1.20.17

1.20.16

1.20.15

1.20.14

1.20.13

1.20.12

1.20.11

1.20.10

1.20.9

1.20.8

1.20.7

1.20.6

1.20.5

1.20.4

1.20.3

1.20.2

1.20.1

1.20.0

1.20.0rc1 pre-release

1.19.7

1.19.6

1.19.5

1.19.4

1.19.3

1.19.2

1.19.1

1.19.0

1.19.0rc1 pre-release

1.18.8

1.18.7

1.18.6

1.18.5

1.18.4

1.18.3

1.18.2

1.18.1

1.18.0

1.18.0rc1 pre-release

1.17.6

1.17.5

1.17.4

1.17.3

1.17.2

1.17.1

1.17.0

1.17.0rc1 pre-release

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.16.0rc2 pre-release

1.16.0rc1 pre-release

1.15.2

1.15.1

1.15.0

1.15.0rc1 pre-release

1.14.3

1.14.2

1.14.1

1.14.0

1.14.0rc2 pre-release

1.14.0rc1 pre-release

1.13.6

1.13.5

1.13.4

1.13.3

1.13.2

1.13.1

1.13.0

1.13.0rc3 pre-release

1.13.0rc2 pre-release

1.13.0rc1 pre-release

1.12.10

1.12.9

This version

1.12.8

1.12.7

1.12.6

1.12.5

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.12.0rc1 pre-release

1.11.6

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.11.0rc1 pre-release

1.10.3

1.10.2

1.10.1

1.10.0

1.10.0rc3 pre-release

1.10.0rc2 pre-release

1.10.0rc1 pre-release

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1 yanked

Reason this release was yanked:

This version was released with the wrong commit and does not adhere to the semver policy we follow.

1.9.0

1.9.0rc4 pre-release

1.9.0rc3 pre-release

1.9.0rc2 pre-release

1.8.3

1.8.2

1.8.1

1.8.0

1.8.0rc4 pre-release

1.8.0rc3 pre-release

1.8.0rc2 pre-release

1.8.0rc1 pre-release

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.7.0rc4 pre-release

1.7.0rc3 pre-release

1.7.0rc2 pre-release

1.7.0rc1 pre-release

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.6.0rc3 pre-release

1.6.0rc2 pre-release

1.6.0rc1 pre-release

1.5.5

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.5.0rc3 pre-release

1.5.0rc2 pre-release

1.5.0rc1 pre-release

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0rc3 pre-release

1.4.0rc2 pre-release

1.4.0rc1 pre-release

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.3.0rc2 pre-release

1.3.0rc1 pre-release

1.2.3

1.2.2

1.2.1

1.2.1rc1 pre-release

1.2.0

1.2.0rc3 pre-release

1.2.0rc2 pre-release

1.2.0rc1 pre-release

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.1.0rc3 pre-release

1.1.0rc2 pre-release

1.1.0rc1 pre-release

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0rc3 pre-release

1.0.0rc2 pre-release

1.0.0rc1 pre-release

0.61.5

0.61.4

0.61.3

0.61.2

0.61.1

0.61.0

0.61.0rc2 pre-release

0.61.0rc1 pre-release

0.60.6

0.60.5

0.60.4

0.60.3

0.60.2

0.60.1

0.60.0

0.60.0rc5 pre-release

0.60.0rc4 pre-release

0.60.0rc3 pre-release

0.60.0rc2 pre-release

0.60.0rc1 pre-release

0.59.2

0.59.1

0.59.0

0.59.0rc3 pre-release

0.59.0rc2 pre-release

0.59.0rc1 pre-release

0.58.5

0.58.4

0.58.3

0.58.2

0.58.1

0.58.0

0.58.0rc1 pre-release

0.57.4

0.57.3

0.57.2

0.57.1

0.57.0

0.57.0rc3 pre-release

0.57.0rc2 pre-release

0.57.0rc1 pre-release

0.56.1

0.56.0

0.56.0rc7 pre-release

0.56.0rc6 pre-release

0.56.0rc5 pre-release

0.56.0rc4 pre-release

0.56.0rc3 pre-release

0.56.0rc2 pre-release

0.56.0rc1 pre-release

0.55.4

0.55.3

0.55.2

0.55.1

0.55.0

0.55.0rc2 pre-release

0.55.0rc1 pre-release

0.54.1

0.54.0

0.54.0rc1 pre-release

0.53.3

0.53.2

0.53.1

0.53.0

0.53.0rc2 pre-release

0.53.0rc1 pre-release

0.52.2

0.52.1

0.52.0

0.52.0rc3 pre-release

0.52.0rc2 pre-release yanked

Reason this release was yanked:

Used the wrong commit for the release.

0.52.0rc1 pre-release

0.51.3

0.51.2

0.51.1

0.51.0

0.51.0rc4 pre-release

0.51.0rc3 pre-release

0.51.0rc2 pre-release

0.51.0rc1 pre-release

0.50.4

0.50.3

0.50.2

0.50.1

0.50.0

0.50.0rc7 pre-release

0.50.0rc6 pre-release

0.50.0rc5 pre-release

0.50.0rc4 pre-release

0.50.0rc3 pre-release

0.50.0rc2 pre-release

0.50.0rc1 pre-release

0.49.4

0.49.3

0.49.2

0.49.1

0.49.0

0.49.0rc2 pre-release

0.49.0rc1 pre-release

0.48.4

0.48.3

0.48.2

0.48.1

0.48.0

0.47.0

0.46.0

0.45.0

0.44.0

0.43.1

0.43.0

0.42.0

0.41.2

0.41.1

0.41.0

0.40.2

0.40.1

0.40.0

0.39.2

0.39.1

0.39.0

0.38.4

0.38.3

0.38.2

0.38.1

0.38.0

0.37.3

0.37.2

0.37.1

0.37.0

0.36.3

0.36.2

0.36.1

0.36.0

0.35.2

0.35.1

0.35.0

0.34.2

0.34.1

0.34.0

0.33.0

0.32.2

0.32.1

0.32.0

0.31.0

0.30.2

0.30.1

0.30.0

0.29.0

0.28.0

0.27.1

0.27.0

0.26.0

0.25.0

0.24.0

0.23.0

0.22.0

0.21.1

0.21.0

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.0

0.18.0

0.17.1

0.17.0

0.16.0

0.15.0

0.14.1

0.14.0

0.13.1

0.13.0

0.12.1

0.12.0

0.11.1

0.11.0

0.10.1

0.10.0

0.9.2

0.9.1

0.9.0

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.0

0.6.0

0.5.5

0.5.4

0.5.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ddtrace-1.12.8.tar.gz (2.2 MB view details)

Uploaded Source

Built Distributions

ddtrace-1.12.8-cp311-cp311-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

ddtrace-1.12.8-cp311-cp311-win32.whl (1.8 MB view details)

Uploaded CPython 3.11 Windows x86

ddtrace-1.12.8-cp311-cp311-musllinux_1_1_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

ddtrace-1.12.8-cp311-cp311-musllinux_1_1_i686.whl (3.9 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

ddtrace-1.12.8-cp311-cp311-musllinux_1_1_aarch64.whl (4.6 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

ddtrace-1.12.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ddtrace-1.12.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (3.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

ddtrace-1.12.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

ddtrace-1.12.8-cp311-cp311-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ x86-64

ddtrace-1.12.8-cp311-cp311-macosx_11_0_universal2.whl (2.7 MB view details)

Uploaded CPython 3.11 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.12.8-cp310-cp310-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

ddtrace-1.12.8-cp310-cp310-win32.whl (1.8 MB view details)

Uploaded CPython 3.10 Windows x86

ddtrace-1.12.8-cp310-cp310-musllinux_1_1_x86_64.whl (4.6 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

ddtrace-1.12.8-cp310-cp310-musllinux_1_1_i686.whl (3.8 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

ddtrace-1.12.8-cp310-cp310-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

ddtrace-1.12.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ddtrace-1.12.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (3.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

ddtrace-1.12.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

ddtrace-1.12.8-cp310-cp310-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

ddtrace-1.12.8-cp310-cp310-macosx_11_0_universal2.whl (2.7 MB view details)

Uploaded CPython 3.10 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.12.8-cp39-cp39-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

ddtrace-1.12.8-cp39-cp39-win32.whl (1.8 MB view details)

Uploaded CPython 3.9 Windows x86

ddtrace-1.12.8-cp39-cp39-musllinux_1_1_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

ddtrace-1.12.8-cp39-cp39-musllinux_1_1_i686.whl (3.9 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

ddtrace-1.12.8-cp39-cp39-musllinux_1_1_aarch64.whl (4.6 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

ddtrace-1.12.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ddtrace-1.12.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (3.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

ddtrace-1.12.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

ddtrace-1.12.8-cp39-cp39-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

ddtrace-1.12.8-cp39-cp39-macosx_11_0_universal2.whl (2.7 MB view details)

Uploaded CPython 3.9 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.12.8-cp38-cp38-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

ddtrace-1.12.8-cp38-cp38-win32.whl (1.8 MB view details)

Uploaded CPython 3.8 Windows x86

ddtrace-1.12.8-cp38-cp38-musllinux_1_1_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

ddtrace-1.12.8-cp38-cp38-musllinux_1_1_i686.whl (4.2 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

ddtrace-1.12.8-cp38-cp38-musllinux_1_1_aarch64.whl (4.9 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

ddtrace-1.12.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ddtrace-1.12.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (3.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

ddtrace-1.12.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

ddtrace-1.12.8-cp38-cp38-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

ddtrace-1.12.8-cp38-cp38-macosx_11_0_universal2.whl (2.7 MB view details)

Uploaded CPython 3.8 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-1.12.8-cp37-cp37m-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.7m Windows x86-64

ddtrace-1.12.8-cp37-cp37m-win32.whl (1.8 MB view details)

Uploaded CPython 3.7m Windows x86

ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_i686.whl (3.7 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (3.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

ddtrace-1.12.8-cp37-cp37m-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

ddtrace-1.12.8-cp36-cp36m-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.6m Windows x86-64

ddtrace-1.12.8-cp36-cp36m-win32.whl (1.9 MB view details)

Uploaded CPython 3.6m Windows x86

ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_x86_64.whl (4.5 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ x86-64

ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_i686.whl (3.7 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (3.0 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

ddtrace-1.12.8-cp36-cp36m-macosx_11_0_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.6m macOS 11.0+ x86-64

ddtrace-1.12.8-cp35-cp35m-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.5m Windows x86-64

ddtrace-1.12.8-cp35-cp35m-win32.whl (1.8 MB view details)

Uploaded CPython 3.5m Windows x86

ddtrace-1.12.8-cp35-cp35m-manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.5m

ddtrace-1.12.8-cp35-cp35m-manylinux2010_x86_64.whl (3.6 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

ddtrace-1.12.8-cp35-cp35m-manylinux2010_i686.whl (2.8 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

ddtrace-1.12.8-cp27-cp27mu-manylinux2010_x86_64.whl (3.3 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ x86-64

ddtrace-1.12.8-cp27-cp27mu-manylinux2010_i686.whl (2.5 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ i686

ddtrace-1.12.8-cp27-cp27m-manylinux2010_x86_64.whl (3.3 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

ddtrace-1.12.8-cp27-cp27m-manylinux2010_i686.whl (2.5 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ i686

ddtrace-1.12.8-cp27-cp27m-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 2.7m macOS 11.0+ x86-64

File details

Details for the file ddtrace-1.12.8.tar.gz.

File metadata

  • Download URL: ddtrace-1.12.8.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8.tar.gz
Algorithm Hash digest
SHA256 b54c917d7c224d4fc115380fd43978bfc8e4d148eea317dc8538799d0441a8ff
MD5 e6309d8d50de6ec089128e88db523699
BLAKE2b-256 21f1a5840db0671dfb5a19ac282082cf83e091e4f2210a1898dd0b3c87aa0b2c

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 218a327dda903215c53a442afe327bdac33d936797f2c7b3ff2630877c0589f2
MD5 ae4282966277f4fd2a6726045954cb37
BLAKE2b-256 9c661c9b46d95ac02912a343607f87489ec627bdc6381324f38cf26b03eb6586

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-win32.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp311-cp311-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 2cdc80d2f9860ef0104e79ba49df80ca1343214a67fbe969cfc1677a2303a93d
MD5 26dd3cba97dabd29ab6d97b7650b3305
BLAKE2b-256 7f55bc3fbb9a889ce3f7bf454999c47a4e02bd2371e3d6d177a4f6e31869b1b0

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 0353bd223d26d6801f62f614e5baccbd253a4bb16c50091d3a2a918b6af11c2a
MD5 eac696f9739937293240773baf4b3e4c
BLAKE2b-256 004a9039b5fefef2314408a7849995d6384dfd1606d74257d2ae258cfacc757e

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 72126ab476a7b1c0332ee2581ea3a791f044adc46cb1fde6671a5b7faba0567c
MD5 3c6e8c45e8a74d06009fb84868fdae65
BLAKE2b-256 84687403119d5fd0c44e7dbb18302929f0ef14126eb4805f27ff81322419a3b2

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 9eda7f630d9629dffa10dba8f4e5d42ac8b510fa00c4bd8c564d0cbf4ece5150
MD5 f8f65483ab258f0347f8f18daeed94ad
BLAKE2b-256 743e8ef465a835b8f8aad2e13bdd3f0e03efe66568eb12fe63e22b98c5bc3b35

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 56a5b7c1fc2507d84504c9c889ee5a68d59fb81e8fba8accc6647ab15a654f63
MD5 eca6e082f930527ba7388ebf71133508
BLAKE2b-256 7579828526c77a9c42717b3eaa077390e917151ef136891aa3321e753a95dd8f

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 58e43cd778310b8a46a2fedfe09dfe6c414ef0c81bb53ee7c199469be7c16aef
MD5 679b19ef2896ff320f887de7ecb98dd2
BLAKE2b-256 ee68ab4bd7154dafddbc5297af492dc5c9ea03aaef9c6b2205609e0387f7dd00

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4484a9346b95412b36bb40a4cd2f9adc14ec82fa09f2029e6a5498c629bbea86
MD5 93b20e9a570f3c0c650153c3f2247311
BLAKE2b-256 4a2791c0e213098f6bfcfcef49eff6606d29e06bb795dbaaaf2b4bc1c6b47534

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 1cd99b0627db3cee34c793e7cbbc1a28656d79c384da7106962fecee8cc947e0
MD5 323a848f405aa4c18e612bc0264f836d
BLAKE2b-256 b75dc1dbd338b7f00c1130f43b5319c82a834e28f82e5ae2a8bb70cd5bc0190f

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 f0ac397ae2b2640f5261d6fc90f51f05d8bb2e23109c30e1d3f574da5cef87ed
MD5 a707abeb846cd25cdf3333997f2f8d9c
BLAKE2b-256 0920873b71293b80fdf1ba0caedb823410f8b9ad2856f892ff91e944554a7de7

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8e9b88a3ea34e789313aa76d0ca26c2e0502c9f5dc2025859df2ee7ea9777cd8
MD5 0be69ff0b3eac877ccb544f84d0e5664
BLAKE2b-256 95401c99a21971dca1fe25eb6bf9867c4f0e57e234bd2d7b2a5cdef6ca791880

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-win32.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 c764d1bff93fd99ea78a89f75128df091f95769be3b9b6c1aa8e276a07594809
MD5 afb002091bd50c6a646d4e66802aee80
BLAKE2b-256 05956a5c9315367ff78107839b38359ff7559b7f4c60c225ff8ed9021248e478

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 753eca21a52338d75a922ea3293f185dc24ebbe385860b039eafa37c7d7990ec
MD5 9b8f39560989c252323121775e9edf72
BLAKE2b-256 e63cabec6c38545465fcdf14cd443d6be79936042b87eb5696226209f9c2079a

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 77dbd34c203785254d338b654edc46e719f58aa6d631753dba61d9069a76f344
MD5 bbd8ac8c9c649b7c85d86b8bbb9bee28
BLAKE2b-256 c3380015f6dc95d269b0ff0643bd5f261518c021ea0437ac8f0e478444b13622

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 59ad7418b3d1ad7fec20d024379308af746f771bd375b1bb33a3624fdadbd2f0
MD5 04b85e729ade27e3e49fa132b16f94bf
BLAKE2b-256 5656be32a7e1dcb2cb3faa7136214cc091ea7a669f25b476100b03ffec5d6301

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 47ac87540b49c5283ec51111502e80c779ba87391cfcc9f64e18b837380d77b4
MD5 647af566ff9cb9c5e498e044d214a231
BLAKE2b-256 0a25fd708fd635b60d3fb97c805275daee2e2fb5938fa5339b7716ef627bf449

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d63774a98c61ddd5c6a78134c2efd7ff7d4843604a9289a8f84ab97e81b17a07
MD5 f48f08397ca51960620fd0d562be6ec6
BLAKE2b-256 f4442dc3612dfe4db3440069d273bdd0e4dff8d96abebd6b770dc702483a72c4

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2b56a5dbdf90f7482b4cea5d8a00f29775481cbbf0551e5b4e960c67b8d3de56
MD5 0ee74ebf3a73d0c3c2a781de17567f1b
BLAKE2b-256 273e8d360790dc3cced950c305954f02c99e9b88b9d87f7c0ff09b76c8d31ba1

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 dbfee619660ae1f545bc18858a34c7eb345251241820786c8e2a8ceac8d540da
MD5 4c2a51dfebe50b381503c52715704870
BLAKE2b-256 9891e55997ad376c6d9a3696767363b30565b9c28b08186aa15064ec867f5d39

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 34360475edfa1db55f462628fe77ba57582d436fbcd6f97bb122691509ae82f7
MD5 0eb0c33208ef93bae4e2169ad89f7918
BLAKE2b-256 95babe763a9ef963632a35053f43eb2130ccbca89fd1c6b692442055d0af0005

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 425f0d158a17d42f573de2084859f5c646166334d8bbd87acb9ad0dfb0c54f03
MD5 9fad3ad7dbfc39d7185a14cd4259fc1a
BLAKE2b-256 8cddf1f8853bbc23ec184202db6e4c31b505244f378b8b8e607234e9d3b0c13f

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-win32.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 a5f6eb312f3f86025b2a57f57180a35ed706bb126efb035927174fa1798e9124
MD5 5fb879ba0003c089eb37187f020e346f
BLAKE2b-256 19e1811f9d203d2dfe863e8ade7d1cdacabaa6371544f3218fa73438eee3437a

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 4ca47ef5c65fb1c74f25aa905d51dc56d42f06bcf8f604435c102181a1a13a56
MD5 5fef2127464429fb2d4d1421c1d2f80d
BLAKE2b-256 54806338a9a946d9d373beaf5f22c9b3809f4da7b49d05a421b517b329bb6b62

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 1e66e7d11e725278afc8c023068c78261e7a9409cfd1adefa63203a3b70734ad
MD5 bebc800dac39dc47112202746d78ef59
BLAKE2b-256 1395f75f73defc4ad6b25636d18b8b7e5cbf9b728143db9ad1f092134fc4f3c0

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 222825e5541d3edd6b422a7936e8a2fd6a08dbc4530b813a0fdce4e00033bb6a
MD5 2f18edfd8252ab69bde4cf1478cce86d
BLAKE2b-256 245e63c22befd53605bc393c104a171c7b3a9e55d2552317f41b8deca389d762

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 12064a710fb7adf132ef2d745c676962447ce52c62dd881c6f5759f2d172cc9d
MD5 8f8d517d8d9ab023dff998958e6252c1
BLAKE2b-256 75ec19e8b9c1a6192eb9a8199148b2c3648fb4d602893658f0c9fe0ebd7b43d4

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 323a902dce631f4db7c77dd864ffb1203b297ac8d87b09f9a4bf52da156b3da8
MD5 0cdfbbdf8786acc88516c47b18a503c9
BLAKE2b-256 45a4b97473acbfa72561bbd5dae79e6f12c80a33e9e1473890516426d17625cd

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fd343c161b839c807de8c9367884c851d520694fbffc4b121db507c02fa7fdd3
MD5 119486e4d0915131461719d9f5b7ff8e
BLAKE2b-256 cd09911813948d7af36dd91daa9a2813dc6f3cfa1505eeffee4e706b3903b91d

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 66d78fb6742f4770d2126c85e8ef153436243bbeb66a3a74e4f5cc0dc444dd2c
MD5 0bdaf9fa067b58b3eb0dbac6f7bc23cf
BLAKE2b-256 81bf97ec98e6ef57544f118d1b0aa44aa6bfeae649d2b5f483fea2917e2eebcf

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp39-cp39-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp39-cp39-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 86777b37a57b7a68dc5b748caba2fdfe1b8d938a32dea582ccf4c136b1feffcd
MD5 10f76d77491cd433a08072aeb02f58ed
BLAKE2b-256 bb1631358d079fd46e829364d7b59a4371c4e6b043c6ba10f322253433b3e03d

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 b86824bfcd838bd15900a4db50f0fe1776e89036cb1cb8f3b359f3927cb14ab4
MD5 a6e4cb20c5401721332f12916e032512
BLAKE2b-256 0ea556d92d1d4bfd9f93ffcc7c1e0aff829be08760c40d5a1797bbe26f6cfd95

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-win32.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 586ce90f25eea0a3e9f8d990b59c28831042dee9b06af43ffa416c8536719201
MD5 3d38198635d070ec34f19c3a7d880749
BLAKE2b-256 ce5bcba9f2a3b255726358df6c368cf71bb2b16495d4d824281a21ff5f00a784

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c34ef887893eeb662f3041c70f8bc847f03ef56d212eada83b4543398160a562
MD5 c3717eb6542b7478862182577d10eaa1
BLAKE2b-256 27db4319a45bb69cda6fd48c25ceff1b56f123b796f6a77ee74e72ad9fc2c07a

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 955eb21fd532f196b609b75c109b3ab9cb8d7d3634a3a6fe2bc2c3076aadf3f1
MD5 37392b8f15d5aec1159f0a1cef683ca9
BLAKE2b-256 c414986e89a88fa3ae91effb3999da69cc67538d9a93c5bb40b0b89742fbebc8

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 b660e3d13744ca33ffe67605e8ac04354d710021d71d8a6d04d7c3b7ad46e69d
MD5 f8b3928b4da77f47b46fdd8f12cc554c
BLAKE2b-256 9aad905224298651ef28c4faec73c078fae98d33a0dcd14796504303f2a07694

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d288663b0b1ab5caad192f7b14210cdcfa0882a785fcc81af99544aa9378fbd4
MD5 776b2ab0ea83cd592e3a846167a7b392
BLAKE2b-256 1f775db955a4fa0a0e2e2c0541e6329c8838bba6b5cfba17758979ab28427182

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 26725d74c0501670394876b029d602a919d5369098f13e15d21b0e39caa3d89e
MD5 e5e8edeef1e1b6753b2968b4c53c7da5
BLAKE2b-256 af341aee53983abe4fd9f2fbc528031f8f999c553c529420bf86ba473e0d468c

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b85b5a98ddd06c8009442e0e2569b3afdd5fd9b715fb69ccd5cb3a0607df9a46
MD5 b4d148438f81bc93d17929b905b4ac9d
BLAKE2b-256 e39d03fcd8145b46f2bb2df6c3f38a293b8a85cecb4d7c6d022d4c962749cff3

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 764bd08426a850ddd6bf3374d7d85c6edfcaba1a00e332d202f3d7384fe01deb
MD5 36b7ba470a2ad6ef822e983ca28151f4
BLAKE2b-256 0e562f80b70df56ff00d42892039787f25d7a0d019f924cdfeded3b19608866c

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 1a7a0c5e91d2832eb7b99c4e26c805749384e4c776f885457dc74d0fcefa93a7
MD5 bba101ed9f62c63f4e3d07f32d9a46b9
BLAKE2b-256 29cb107db7d9771db5abacc53aa5ba9fea211c7a51dfc572cfd053f3eae799c8

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 62a6124f003273f8214cb5541d1375e5f261dc7d5c45e07e3b7357518b01cbd4
MD5 47196844699d89d29b1f003f8df93b97
BLAKE2b-256 8a94c887951f2d2cffd274cafd63ac327bd00d1b3466d28e81f0ed3643b30eab

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-win32.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 0ffc1ced95a0f66a92be5dfafeeb1022b4c5f1eb1a166e7b730c87dd1145c295
MD5 888dfd3dc437db83f8eb5bcf24543df0
BLAKE2b-256 bb44d1f357b4b71bed1eba6e21c0ac25c57709e24b7db94fecde42d20eaccd35

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 2cbfbeae011bec44eee8a890fab7e3ea7db86999f47767d7611f50a4f42d2990
MD5 56fa5f245be880c755014a440b8184bf
BLAKE2b-256 82f4b5f17c7c6a04b833925b632ffc9ab5c01a0c2e3394942ff85ff6e58bd514

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e9de60a9df984faba2625a8e39e02240f711e01acd6839a91511c537c9b24333
MD5 9a29ee3a44171f8cb39bd69e5719f757
BLAKE2b-256 e332d4d274512348262e1087cb2947648b880471c4306ff7b7acf89781e0f9b7

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 c4b6cbef71b950ca60ed43abdcb487ee3bf3ef92bcaa94e9f389f9b10ffe4644
MD5 8aa4de02e563203ee78aadc0eca974d3
BLAKE2b-256 f522e50494c21be80332589a1ad7e2edb7a1afe9840179fc81085c1caa0d5867

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 09e2ccb39c80e918cf1159725d221c87c7a0fbe98fd1c7f2f3aa7e2429042a25
MD5 2df6292a99bcd998c2336f0ed85a4e43
BLAKE2b-256 dcc895e400e2545ec2ab954294842e27de780ed95423bb197204d0d4f36659ea

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 33fa6d99291e9cbc7b2f56c5afc4deaea626f5a422daf9a58a9f0781b633d907
MD5 c1880ab8d9f44d62304590f0db12c455
BLAKE2b-256 fdb41666ac47362af936b4743025644c5e11e9b17f99d42e97731425ae85cbe6

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a9b8df3bd244f2615a7c156cdfa24a791d72bbc8b84610bea779f3b3b1b0a683
MD5 7e22f42ab73c83bdeed91b16addfac0d
BLAKE2b-256 a49db92a780590b51db8b9ad242370ba94a2ecca11980fd64003dda2e18d2cd5

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 22a951a5de792c960e3d0d84a4cdf25a39330f6f463ac769cc5590b5cc353289
MD5 661ae57bebb465c1c4d15c9e18256d1b
BLAKE2b-256 d091488cbe1d6a6cd8f13e6f941651afed512b672c0cd67ff85b7dd1628182a7

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 164610cb3b1928142273b4176a34fb7ddd406cca5c5b3f4c40fd7e1e552bb227
MD5 bbb6db0c262fa160ad9ff1609d7862a0
BLAKE2b-256 9f4fccfc9dedf0912456d7de5dcb0a4af90ccb3fb930f2f20208c2bf2e9e1a49

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-win32.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 f92f3f83f91cc76ed189fb4bad494044860873ed7ce50eb7966f1f529cea4f28
MD5 8886778784c060967a6eeb5a2a273557
BLAKE2b-256 361f8277e4bb926af6603365f28c6b947ac09305bdd39022182752e993c3fb02

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f26fbb56b550841c0b1eee28fb10265bc4e0119dc24908a0718071b177015615
MD5 cdd7f86749c7b25626bd23a25da86665
BLAKE2b-256 f9f108723c245444b53372a2dd43dfb23a39bea4b948869a3df7817f042c35b1

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 31ebb09a7c2528872a232a24f5d68d298cb63f5bad37fd6274434595d72b69b1
MD5 68d9e1fca257ef08fa4995669f0a1e02
BLAKE2b-256 b127160ba60fc42ec676ed166f1b2f55a219eeaf71be19fbf021336981b70171

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 9631834342d624aa67faffb18cb6dbfa654f28b7a964b7f9e3b509e686a36bc6
MD5 dc0d352fd491a40932d0635779bf48a1
BLAKE2b-256 87c09693b02b5a29ba74afa5ec362d8e8c56561f59c7d7e534c97668957624e3

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f3eae650cc9edebbb68f10cc60ca66028f6b169dd494f05d40f6193442a7c0ac
MD5 a75f11dc40a27d385a2da6544b941a8c
BLAKE2b-256 8bf325a22df1486de9bb67825031a29f403cc69554434397ea1330aa3d6d091a

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 07a1f9fe206737077880277890050bd3ae36848f64aa1d395ec492d7c8a7cdb1
MD5 00c28b85fda01e1652318f9affb0f9a9
BLAKE2b-256 60a51932d1e72d08e02c85c715c3f52496db899f457cc0e222fe9c05450e7377

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 31d35caf92c202da5ba85cb5cf67ca030df3aac23ea29d28aa0810aa6b9d80b0
MD5 ddb55a6521c205abe7740f902a800528
BLAKE2b-256 6272ae154dd72b17f39e146fc185e727dd9b972f6f32e6ed43bb543263140c12

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp36-cp36m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp36-cp36m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 7f4d3075233974ee05f28bc10e18fe2794673ff8fb08596f8701ff02189deba9
MD5 7b65fad368dd7fc3fef3c6001be27bee
BLAKE2b-256 3178e012fd04cd6e36a97e3cb1e946fab9f45ca40fc66cdd83a7b8a379d51d2d

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 65a021b6d9148d96a9a94a2f094ea5a78060f45c84db898910e92f852ef4e9ac
MD5 36412d077e05c05922aaed039c20c50c
BLAKE2b-256 8e21633f83fdea2df85796308da566e44ed1a253ede69fef40e2898cf324030f

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp35-cp35m-win32.whl.

File metadata

  • Download URL: ddtrace-1.12.8-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.12.8-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 d06f3abd1bf54e8035d2e6548bc0c75c5489aa1c5122e7e36a9c9a9195b5c0f0
MD5 db074aa24b26e0532d84c2c69b135754
BLAKE2b-256 1bf43a14a41eb64e7d037c0a882325d9335e612ff4362bb03802431bb46fa15d

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp35-cp35m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp35-cp35m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4ec5701df2768fc135b70d682786fab99698e7680d0a45e8624a608d762d7388
MD5 7f686a09081f9d753900fc63c0393f37
BLAKE2b-256 24a6cd5bc1d0952337af9569957b36dac89c6ac6d2c724a27075deb91a327d2c

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2f507b9372695a4bd4af95e8f69b90d3bbaccf20d66f1bcb10f96e0a7f7e6afe
MD5 75d7fb27505a22e013b1634b810a2823
BLAKE2b-256 9e46e4d334a7ba631fb7af46a4cc670438289737268103e844d4d964ee3ed095

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp35-cp35m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 549236a708ce3f95881134c294044b3d13c73087814ce0e2407623f65a190d92
MD5 2f5e2a767d42c18df6ee8bce98dc0f01
BLAKE2b-256 3ff86447e3219082724d1a20d3e7709325ad1505b05838647ae64d04c02a0c52

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 151852537a64e31475e483fd910f160e4155a61dbff982773129c9a0fc9b0a85
MD5 bd6bfa22456110cae342b497f05434b6
BLAKE2b-256 7389251a086c2a9789a583c874d94c07b983c6c3bbaa9aa159a8e3829b8d52a8

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp27-cp27mu-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp27-cp27mu-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 619e18858d96044dfbfa96055fd85a333aad750b880c572677f2ac05e054aa1f
MD5 d1d7e20f3f0fabdaf38364629bf72bb1
BLAKE2b-256 af18630434fa31f4e98c6d68427fbf94760253dd4fd7a45c2ed1c4d54cd5c125

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp27-cp27m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3ca27e85e96b89f5aefd3e880fa0531ec3c5557f8b73ecc7254e7b2b415be6d1
MD5 71f6a739346c369089b9756c98834d4f
BLAKE2b-256 61c3eba92953d7a6068d16ee9a8446e5bef1e16a9da10898f7e82d13b629bed9

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp27-cp27m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp27-cp27m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 d509284bd15d1dff44a69a710499884ddcb00c51ea853b1319b4087dcdc98040
MD5 3d3a6b24836a00b07d702e5651e1c329
BLAKE2b-256 d82eddbb8bc8fa3ed318ac52246c796793075bda601bdfa6a95dde436866a3e3

See more details on using hashes here.

File details

Details for the file ddtrace-1.12.8-cp27-cp27m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.12.8-cp27-cp27m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 237d562c9e6294d68aa13b926f1e54c619a532d215f731917b9b5028ded1974d
MD5 7dadbf42b531d40a7abc3c64be078544
BLAKE2b-256 c1a23df7f5f6f21b776204160ea05a10ec20502a21adbbf0711a359f4c2c0ee3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page