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

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

This version

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-1.9.4.tar.gz (2.0 MB view details)

Uploaded Source

Built Distributions

ddtrace-1.9.4-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

ddtrace-1.9.4-cp311-cp311-win32.whl (2.6 MB view details)

Uploaded CPython 3.11 Windows x86

ddtrace-1.9.4-cp311-cp311-musllinux_1_1_x86_64.whl (5.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

ddtrace-1.9.4-cp311-cp311-musllinux_1_1_i686.whl (5.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

ddtrace-1.9.4-cp311-cp311-musllinux_1_1_aarch64.whl (5.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

ddtrace-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ddtrace-1.9.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (4.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

ddtrace-1.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

ddtrace-1.9.4-cp311-cp311-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.11 macOS 11.0+ x86-64

ddtrace-1.9.4-cp311-cp311-macosx_11_0_universal2.whl (2.2 MB view details)

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

ddtrace-1.9.4-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

ddtrace-1.9.4-cp310-cp310-win32.whl (2.6 MB view details)

Uploaded CPython 3.10 Windows x86

ddtrace-1.9.4-cp310-cp310-musllinux_1_1_x86_64.whl (5.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

ddtrace-1.9.4-cp310-cp310-musllinux_1_1_i686.whl (5.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

ddtrace-1.9.4-cp310-cp310-musllinux_1_1_aarch64.whl (5.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

ddtrace-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ddtrace-1.9.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (4.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

ddtrace-1.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

ddtrace-1.9.4-cp310-cp310-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

ddtrace-1.9.4-cp310-cp310-macosx_11_0_universal2.whl (2.2 MB view details)

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

ddtrace-1.9.4-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

ddtrace-1.9.4-cp39-cp39-win32.whl (2.6 MB view details)

Uploaded CPython 3.9 Windows x86

ddtrace-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl (5.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

ddtrace-1.9.4-cp39-cp39-musllinux_1_1_i686.whl (5.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

ddtrace-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl (5.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

ddtrace-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ddtrace-1.9.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (4.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

ddtrace-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

ddtrace-1.9.4-cp39-cp39-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

ddtrace-1.9.4-cp39-cp39-macosx_11_0_universal2.whl (2.2 MB view details)

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

ddtrace-1.9.4-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

ddtrace-1.9.4-cp38-cp38-win32.whl (2.6 MB view details)

Uploaded CPython 3.8 Windows x86

ddtrace-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl (5.7 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

ddtrace-1.9.4-cp38-cp38-musllinux_1_1_i686.whl (5.6 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

ddtrace-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl (5.6 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

ddtrace-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ddtrace-1.9.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (4.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

ddtrace-1.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

ddtrace-1.9.4-cp38-cp38-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

ddtrace-1.9.4-cp38-cp38-macosx_11_0_universal2.whl (2.2 MB view details)

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

ddtrace-1.9.4-cp37-cp37m-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

ddtrace-1.9.4-cp37-cp37m-win32.whl (2.6 MB view details)

Uploaded CPython 3.7m Windows x86

ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl (5.1 MB view details)

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

ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_i686.whl (5.1 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl (5.1 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5 MB view details)

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

ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (4.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

ddtrace-1.9.4-cp37-cp37m-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

ddtrace-1.9.4-cp36-cp36m-win_amd64.whl (2.7 MB view details)

Uploaded CPython 3.6m Windows x86-64

ddtrace-1.9.4-cp36-cp36m-win32.whl (2.6 MB view details)

Uploaded CPython 3.6m Windows x86

ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_x86_64.whl (5.1 MB view details)

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

ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_i686.whl (5.0 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_aarch64.whl (5.0 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.5 MB view details)

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

ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (4.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

ddtrace-1.9.4-cp36-cp36m-macosx_11_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.6m macOS 11.0+ x86-64

ddtrace-1.9.4-cp35-cp35m-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.5m Windows x86-64

ddtrace-1.9.4-cp35-cp35m-win32.whl (2.6 MB view details)

Uploaded CPython 3.5m Windows x86

ddtrace-1.9.4-cp35-cp35m-manylinux2014_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.5m

ddtrace-1.9.4-cp35-cp35m-manylinux2010_x86_64.whl (4.2 MB view details)

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

ddtrace-1.9.4-cp35-cp35m-manylinux2010_i686.whl (4.1 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

ddtrace-1.9.4-cp27-cp27mu-manylinux2010_x86_64.whl (3.9 MB view details)

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

ddtrace-1.9.4-cp27-cp27mu-manylinux2010_i686.whl (3.8 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ i686

ddtrace-1.9.4-cp27-cp27m-manylinux2010_x86_64.whl (3.9 MB view details)

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

ddtrace-1.9.4-cp27-cp27m-manylinux2010_i686.whl (3.8 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ i686

ddtrace-1.9.4-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-1.9.4.tar.gz.

File metadata

  • Download URL: ddtrace-1.9.4.tar.gz
  • Upload date:
  • Size: 2.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.9.4.tar.gz
Algorithm Hash digest
SHA256 f21d4131517f084000a89e3368baf481d89302124faff3687c36dc821093ae50
MD5 444658fd22cf5710f0da8bc0beeadc14
BLAKE2b-256 211a5d9375e10951c5aeb4fe1d8c7ce546d69e4cd6536ac63226f4dd8a7ba36c

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a6df03508bc007ecd7ecce60fcdd3a0fcd943a9e7241534c5c62e29c9bf4ed53
MD5 51d10844a74da77174c373d348e3f9db
BLAKE2b-256 08f4e31855af0af76d75f45cbff04a66543505d592bf47c82ea2357cbf0b1e33

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-win32.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp311-cp311-win32.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 0f3ad9cd662cc5e037984ed5ff2a71bec971e7e103b5fdb42c779207fa503306
MD5 542d7bc6f50e92eac646416bd7ec1192
BLAKE2b-256 6d5f0e6e14f46a563705f3740761643847a2f87f89577765a2f8ba6020b16a35

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 4152e4780c20dce1459b7d656f09be69c2d1cbbbb2bb5339a4d1e33f2d61292a
MD5 9ed8f43519c198158d4d909cb8c73064
BLAKE2b-256 ccf4d55c7fa565d8f09888677ab9b0e58425234801f583c66e517dd1c2c278b1

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0679f0e629686288cc8d823a1feb500fd1e5d6e7a8361cb7f27c0b46f3cb6440
MD5 afde66cb970ef2aeb435e523f365a59c
BLAKE2b-256 0b9c0d5973f97d90f2af69624efb8562050335ab7386dd5767bf470fc4cda47a

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 fb583fd70265c9f66b7d2824ff5111bdb10a44139d80cca27210b2bf750b4624
MD5 c7b58dbf53a8066bda12d5f51e4321e9
BLAKE2b-256 e49bbc9e479de44f70c8e0cddb227f2db145850b4ab491b49a3b8d8d31c238d4

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f0e754e8266b67a4b8f0bea32a183744fba4211075664cfd8984629bba858088
MD5 4a22f805701145fd647dbe0bc81bed56
BLAKE2b-256 e674fdd72e83b3992851e38fa37962ca6e3639249730286e2d9c2dc63b0bdd39

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 39667e044a2184a8bbc093c3b16d434699cee7b46dba5b9faf15d55083574cc6
MD5 7148aa7791a9083da9f53212a87b10e7
BLAKE2b-256 50be2166626a0dd2f8ad3cb411beab62ce3596030fe3441003904123fabd599d

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7f3a3c8d93b18857d528a525ef3e58b95b3b963167de0ed0b7c2b617dafd08f4
MD5 55f90368c0f7a9ada17b6c8e1c2d101c
BLAKE2b-256 39c9a8e0288cb3ef1b533eab5a5283aa1e59832983674a6a7b22a33c0f0966d1

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 dcfd255eaa6db392f5264e437d5fa4b39610eb20a737b7be07769becc8fdafc3
MD5 75e42285161b2a6d44a5f8b73f4c8587
BLAKE2b-256 497cfc568558ed2a4d5daa9a769e6d6d40990af2d27b173e592ebce108385fcc

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 afabbaa3c82df4bc13411c9be9bba70d89c765e2e6220081f24c5aed9c2aa49b
MD5 80237ed9658f19f5e0b3801106059570
BLAKE2b-256 42003332a1f10033ead106ac48b7c9f2d4e72326a0cafe224e5fee56ecd804f5

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c7d753351e458b08a7b568510c63baed0b7e36f6234afa5ff0c606ddb8e52114
MD5 4286943d0fbbeb9cd2698a075f9a25b7
BLAKE2b-256 a542892a2e007072a455b3a519d19440c68ef1441505f37cbd701c863480baa7

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-win32.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp310-cp310-win32.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 3c3d2230794a3921c35217ede220b1707952f2f0d8197ac36e5835ea51693d37
MD5 77c93b468a009eaaacf5fe80801368dc
BLAKE2b-256 94687ce177970bb23b9fd3c9f51f9833d75ded57468bc51cfd92886a22b7163e

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 77cc6dcd0f28f38f2913cba1ba6514705c7d456baa481967b4cef607bb4ab3c8
MD5 d5c525025aeff6854d3b7e29e42702d6
BLAKE2b-256 d5e885d1fce715385459ef2805f918b9211bc9985b82c221444dcd3724fbfe98

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 df7cdf6838a8c6a411361704a37aa7460c3b7662d84fdf3eeb6ca9605493f798
MD5 579f6c5e7a7cbb34271ee6e3daea46b8
BLAKE2b-256 8838834dcbc557f5227fb038600ff528d4935754df8bdc5a91655ce7ec3dd05a

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 149f40b36d55b580253581a7a0d2d4682052e682ad2fdd3a198140099b49b38d
MD5 65684badbdcfa5ffc548bfe70698255c
BLAKE2b-256 1677a121b8f4c7a5890131d7f3dbae016fc884450e222c12878380d01f0f25ae

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7757315aff2280445aef6e7972c66fda1f9347ca15cabbbb4d2989d6d36bc75e
MD5 8c62a577006214e4f738bf7693fee338
BLAKE2b-256 afc46a2b382cc6f3cfbb3c2dd517e091d7605fd63c0dfe84faf7e8615bbc04a4

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 2b9cb2b8036bd97120903038a785822fa1f1547e14617383ba56ad21cac468d5
MD5 bfb899d2cde161b88785ef5666dba9aa
BLAKE2b-256 682a694babe2e4753aea3ea442e60463fb5d15c809fe91f950776e7661453134

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a0050ac90988db5dd8ad29bcaeace83abbf3ff0a610e377dd892c845ba97b808
MD5 381cd509d4b1dec0df1f163cf5f1bfb7
BLAKE2b-256 99d5a853d2237059c9b46c7bdf6e2d34d18523e052d1e4243ed40f8a0d50960e

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 de89a7b7c5131f2795ae4abd96136e6b7543add1942fb3d951088100cc2aba64
MD5 6a0e70ad64a2215dc90875db6d824475
BLAKE2b-256 4c0e955cccc597627e668470d56a39ad6e8ae4a41816aeb2feac01f30e0714b1

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 c5deb4c13bb7a3a72aa09529e52ae12f57835b72fc41c6f5b25f720f5ee3303e
MD5 9c12fdc563d5df9670a41415a2d64431
BLAKE2b-256 c785640b52fcdba28df17de2e8b3ef6131d72112dee936a9dcb15f37cecca02f

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 229940ef24f318ea7a79ae0a47630cbaf1c31509c32e0c034f95b020f22e0964
MD5 0fe2fc82b126a6dee93ce94f9b07b968
BLAKE2b-256 a1af5530be9856d1e047a379a73e3d12cb61942ac8c777f7dbc9fb669abe2248

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-win32.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp39-cp39-win32.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 808256d4005c22f5ae7d7ebc9b7a68702b20942dc5f7d3c1df6d4a077ab063dc
MD5 b321c374cb8f40fb0e108faa4810df3b
BLAKE2b-256 0371251d8ae7115943256d165304f9e6d519c6913f46ed28561798ffc7046251

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 7cf5086194e107c59999015b3ca43bc4e8e50ad92d811fe78a2d6bbb10a4094b
MD5 567e3748aa190ccaa112e874b22f08da
BLAKE2b-256 6caaf8d190bf29f98e10bde6ec525ee8d45921174427224b99760cadff8a36b1

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 422283e7a5e851deaab7959cabf9f4960f3b60cc6eb5c51e53e2e744d8b1f01a
MD5 157fa7cf80fea289928654360524cb5f
BLAKE2b-256 11d4fc49d13d8a8e2f90ecf51d85c8043b761923965ad84f4e9ce4ddd7f4b2ec

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 f026e943038106527b6a2a20b6de6c4c3a22b79b678c997f00405a901c38cf2b
MD5 642df9c73c6c711a45df8d3b55472eff
BLAKE2b-256 4a0e5233c611a1e5af50d0fa9a79f5b614ad3c323f1deefd8445025d821c79ee

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 adcc1d1bf84fd217a377a0c911e528e85791161887a65c13b8187289b2ed17fe
MD5 1be8bcc021c1e184721043ed8756cf42
BLAKE2b-256 0dc26b255519facb4ec7dd823f7d618a51ebf8ab482237d1d4b951fdab628afb

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8e4716d4677d087edbf3a9896e7eead2372133e59b7b7bb3b80f99e4f5585472
MD5 ff9035ed4bd3978675a0e34667023211
BLAKE2b-256 21e8985b4099f36cd72a5c09bcb9bf303147bd3d46512785ff06d5cb5fe57269

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0847c84d7f99f4272a81a1705d112792c3425700d773d7f8340f8603aed3df42
MD5 e572d8fa018239345624c0899f63f6f8
BLAKE2b-256 203bf5f150183f35a3481f93b15276b012078f4fc583c32a7f7ffac5c39bdcc1

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 32ec73479a07d30eee1fe9f08901ac8cd0ce0d594819535e565888d33e6889c4
MD5 5da0268855850c899e80e5d189079282
BLAKE2b-256 f451cbb86e97c8d2030cd20ebb06a3cc925557d1d286ab9d60d7c04ed32521bc

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp39-cp39-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp39-cp39-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 93796b62ce2f94b5ceebb77f7c1da55dde2ee4c086483bb4f12c6164aa5589a0
MD5 00cfe749a084e035231c1de93965e59e
BLAKE2b-256 3d5e91da56895a143e59aacb4ea335008d3069799d228a2f98a79e530b522591

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 928c78947cec778a3d135e78d6a4afe78902d728c3f601bd2b1380db0f8b04be
MD5 0989e34ac6b48ff92c6e76d1b4c8e55b
BLAKE2b-256 f6aac15744f4780b2e8bb370814a052ea4039a297e03dad5cf69222a4fb49107

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-win32.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp38-cp38-win32.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 ea207242c69e3cd890aae7befb225d7ce0f4ec0aab573cf7a4ece57f6feb822b
MD5 9d31530ac96f0af05d527ba2f1292802
BLAKE2b-256 e2469a861201651f7facc7e909a7363923f9fcb0db3e09f7f2cfe6576a770d4e

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f8ad89932f4e49b9fdf8691ce98e97d0e5f7f53d091efcbd949411a7e2709c84
MD5 9d94ec78ded2415830b567209794ba22
BLAKE2b-256 a861edf43fb2943eba295722dd493a6c2bf55c91ffa291ed29314002a0ff6c2d

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0a64cbbe786a5e190c2c22ef4b1d5bb2177f3cdbb8f77d4b6c0ea00fea0e72c2
MD5 8c49da1a7e12abe206fff7ca0c96a926
BLAKE2b-256 8a74ec8843571a907f4edbae55b8aea7416e9dd248af02b4875df2ef01e8d095

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 a694bf729132812f2aedbb0618021d86b2e2f310efcfd716bb6c74ebd13a80e1
MD5 f494bf07615c16633c976a8762e5ff8c
BLAKE2b-256 cd12a65f793452106bceb26a3d03fa8d25926d8bb72f24c96468273e9b7778cc

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 53dcfc73b603875782e3903e91190ec97d20e061c50b36221331812ad35c24c8
MD5 d0490f37d27659cde2a7625e7472a3cb
BLAKE2b-256 e2356ce0d71c74e4f502fc624098d35faf20d977a188e4bbc0e54b7a44e39d7e

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a389e0634bce39fd74501e78d2f55d9a5e63aef78d4b9943e0f9ce226e6bd753
MD5 397f3f3be1b3bb23c6278a7b1a6bf019
BLAKE2b-256 8f944212ae91b872a7454e3ed522e279ed347a557c5b77155b9dc73993718543

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1f9b7ab6d3d5752e3bbc0b928a57ef796408498fc87ad1f6ba988df37b92a453
MD5 7a2829dfa82918f24539fa748ed13689
BLAKE2b-256 671b9c61cac321f53358a79c3accb67f8eed720d4aea06483306c6eb4851cbb6

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 0eaf40060581445f640d1a631ddd02514910e02b7937cdcec270be4397e6a0eb
MD5 f4bed5038ee319ad188733bcef0bd98f
BLAKE2b-256 ea7dd8236791f6344caeb83dba58820391101811643c1d467c4be19a8d832a50

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 d7c40e9627e01c0eef0e30f0a449cda719613bd5a3bc654fc8186f617433af2a
MD5 c4266f68656493a855697ac3716610fa
BLAKE2b-256 5d56f803a1a4f912a01d4426a5ff64632e6d1b74810e7456867b8c53dadb8464

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 038bb0699dfa1babe160a870cd7efa72e068cef34feb164a341f77bdc7b41b58
MD5 dcac24f38e1cb76f3026ad304aa50c6c
BLAKE2b-256 5f8b20bf33c25fd772051968b54b232ce5f198a4008789d974ff1a4a91e90f46

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-win32.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 f3c4dfcbc43993177e8e7a6bc1b355fce13f59ba24456a81ac938396e8c1646e
MD5 9b575250fc8bbe1caa55de7c77144b60
BLAKE2b-256 5a858f3e0cc43a178b08a070e3e2c110c300c597bca753e5776a78334e6fb289

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 175134bdda5c79cb01a0d4d32dad5d691e6dec1927f61fcc3f390d916390e86c
MD5 b166fc32e6d874b89bc4f5c95c7852a7
BLAKE2b-256 632cb3621a2f721be95ac14a54902ae970f18abb31e5d5516ae5aeb3b0352a78

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 fcd3db78bd0342acabc4678402531ac8b261851d01552bbc03393ebd4f46941d
MD5 dc87e161193a8ec20fe7b4b64379d11e
BLAKE2b-256 3319fe11a5b29508251fc8ed06a92786fa4239c7f19ac3d5027c41369bf223af

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 48ea2241d4f9cbb8aa03af3c4ce70e656928239455908feb4f1facad3a533e39
MD5 b64881a8e85e4b11cbbbbafe677ed8e2
BLAKE2b-256 7bc7267f2cf3f06ce5e3c898d49b671b41f111e647c63ac417e109d8e4688070

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1b40bc709c99b1493083abd4157853350281019d561b47b44e085a48780a41d7
MD5 4b2eb83be538c8f152e5e434e03f8968
BLAKE2b-256 97f8ea6fe53bbe331d86af348dabe37d3d944c73081cd9f124f37f623eadbeb7

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b8537d208f2e5dd688c075f309ece16fd0508247415ea0fc83079c83c077d496
MD5 b42b089067c4a8f77e667cc4dcaa12fc
BLAKE2b-256 e7465899dd5626d1da8edace795d0a3e8851dac881bbca20d20c27027e217e40

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 33dc38a7e3fd50d543e69d19776b32e6990a90bda130cc28f0c189b43a3df89b
MD5 a70893b3902e44ca5cd48f1feba7d801
BLAKE2b-256 1b19566020251bf1b888bf29dfe385a036db46133ed3142b1067fd431e78d196

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 4262d3c1cd92a4f1a0c6c8b86896a1f767878553471f5f84084f57198060083c
MD5 74db3205925fc2bc0b75a9264e64a526
BLAKE2b-256 61d37c2e4af6d782466f13dadb906bdb824c6187af263ee9e9749ae03dc482fb

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 2.7 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-1.9.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 5d0d0b465ccc585748c72314226ec0796dd7557a50f49ee91e6845f113901895
MD5 793ff9af81211db15faf6e5c75c01336
BLAKE2b-256 1ef0362a6a1fcea4590c67cf8a38b1e22510981611edfdc08a99869677a4b77b

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-win32.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 1c7a9106aabba6961f5e68bb5bfbd3c59f25d6fede9521e62084229e16b4bc7d
MD5 047e289a6e2b5aeab1e19f99644a5815
BLAKE2b-256 a655f575ab966be9ec0c4a6dd05e6d87cb0ae50113c2e86ac64744e67b94c9e8

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 789d355eb6a4fac79626db3a1d5c6cbdcf7d956774438ad0f6a3d2c18031aebe
MD5 a70562cabe223944b439f6b0d3683dc1
BLAKE2b-256 838caf1222de8d6cb259a9dd28ef9d3fb02cf5144c27ea99ca1dc1b0784f34d3

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c65fb5c53fe6d40d4fca9d10263460d5f95526e7e5a63e916d2b202d6be4dcba
MD5 c3138b078e4374f4cce71ec0eab6a29e
BLAKE2b-256 16217bd5b993c64e8cbf656b12ad3d8fe9be663d59a5373aeeea7fde94462f42

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 a19c1318976fe34934f6814b922da7b57210fe86ee27ba34fa7b9bd0754628d2
MD5 8d954c71c6d0844737b25a7d30c993a0
BLAKE2b-256 18c7a67dfff08a1feb7d27df1b0b62551f68c85288ed4903f6c354acfd102269

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5ff8168aa0b14ab1e2e1c4035df05a8fbf12c4d5ef7e7b14435f0370899c6b9c
MD5 c8d7c6d0f4358a7bc4754b91eacb8e53
BLAKE2b-256 82e4c0c4eeb70096dc4cd52f57b108b514218c0ee2b938d6cf15b9ab1853cef9

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 19598e83a14d0e504aa9db36e06190e92a7cf0fec8e991bb199e21880ad194ff
MD5 63670a1dff5b3b066a74e898efbc5412
BLAKE2b-256 f30f20f439451425fd83c1269fa550055e7a15723a096cc9a86fdd04eae8d7fa

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b243ff84a1daa8aef2173299d80d59d567840d0b264793510f93b6fd49ad7ebd
MD5 3d75f9ab5f93bf39f83b477ebb12a059
BLAKE2b-256 a24113c51b4f4dba38ace0904ec5cc5b036ca679e8ee94bf170ace4f28164279

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp36-cp36m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp36-cp36m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 6a26b4cddbc426fb9bb7f2dab218de2be97792bc7bf02708db0cfce0c6e095d7
MD5 90b5770edf7b7fd79e765e42bfd99459
BLAKE2b-256 0ba7df35bfd06fb0ad725a354f13fb9c57b6526d03bb3b2c399cc51484b56fd5

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 995f0dc518cc0ab9fc72e20d57ea07f8ec2630008cbf6cb2e70fad988d48122b
MD5 fd54d367baea08d2bf7edd990707fa02
BLAKE2b-256 f6b70e4a3eb04ee4563c4944b832915b5ce7c53ff6f2f7e9626737eb442d1dfc

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp35-cp35m-win32.whl.

File metadata

  • Download URL: ddtrace-1.9.4-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 2.6 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-1.9.4-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 130e1fa85d1045e67157c35f71198b8aa757773a3107cf3d547389691dbc93e1
MD5 ae02dbcc26141caed244be32a20f46d2
BLAKE2b-256 5f0224642c9d5d9c4e95c6687818fc9a00da21b8da17fbe069139d9d7d753685

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp35-cp35m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp35-cp35m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4e2981b2b484181742cca9079b952659a4116c63d6fbf4ae7c428b7565337c82
MD5 fb7c9775ddf5c79f9369acc3b151515c
BLAKE2b-256 fdf4f5316d314bfc8cdfd850254adf4883da8a47203ae323ee02308b5beff8a1

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3c28f6d7142c1f56dbccfa4454fa4e7d50ce134c12af25b5d1587126e2192d72
MD5 9c92840ed4eb006829d5ee8e18168d84
BLAKE2b-256 02df474186a21ddf895dbc71f6ba14155300b248d980094394e0f3c9d903bc97

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp35-cp35m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 69c857fb15599802b969b2d3a62ba8d65559ed17b8149f9dd17e7e04a31f033f
MD5 7414945b2e19fdde75617bdf2f7c871a
BLAKE2b-256 db63acf22478286d6c12cd46b9f7d755696a86c12bf64a417b7c44d54891bca6

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 359f614e7a58c349665c4111664c480ce2047bcf8539ac945230daae2c1a158b
MD5 8ef8f77f63e0384f00d16f14bc940e52
BLAKE2b-256 40421c041741989d3ed220ffaefdbc8e44efe722647431cf1bc960261fe206d8

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp27-cp27mu-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp27-cp27mu-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 864d4ef03132e7776cf233d51a90f424c47b3ea9777d42abde12c49526950d27
MD5 238739d0ff15417ba423deaf5203905e
BLAKE2b-256 4a3d188e777417b1cb6c5b6a3e6098e221f228a192099f6a3237bf301dd9a753

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp27-cp27m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 16e817c2f176a046496d0b50ce97e4c7a924a8f35ee297eab68e797f29089dd2
MD5 b8616feabe84a40c63c19d6c9707d4fb
BLAKE2b-256 f2efdb79e79096e42e77a5c9aca9aecc73579880f40daf2db89799ec2df48156

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp27-cp27m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp27-cp27m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 0a44a20b068b2fba3d31b9fb35c1823cce63e6160f4f9c43f8c53680346f972a
MD5 7da5c5a1a37a1061e60e7c374dad4c84
BLAKE2b-256 401fe0e4e20391d9a31f4c1640d6eb458826bf22c1bef955f990e01018a1748c

See more details on using hashes here.

File details

Details for the file ddtrace-1.9.4-cp27-cp27m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.9.4-cp27-cp27m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 bb0521854e4cc724dbe64427dcb5cfcabf4be2d42c738b31cbe726ae1fb4e624
MD5 a0129be8eec89b8cee15d380bea84b55
BLAKE2b-256 5642f8c702ab70e5653332a307fa291bfbfab57b1bce2bbe021abf1867cf49b9

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