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

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

This version

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-1.4.4.tar.gz (1.8 MB view details)

Uploaded Source

Built Distributions

ddtrace-1.4.4-cp310-cp310-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

ddtrace-1.4.4-cp310-cp310-win32.whl (1.2 MB view details)

Uploaded CPython 3.10 Windows x86

ddtrace-1.4.4-cp310-cp310-musllinux_1_1_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

ddtrace-1.4.4-cp310-cp310-musllinux_1_1_i686.whl (4.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

ddtrace-1.4.4-cp310-cp310-musllinux_1_1_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

ddtrace-1.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ddtrace-1.4.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (3.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

ddtrace-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

ddtrace-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

ddtrace-1.4.4-cp310-cp310-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

ddtrace-1.4.4-cp39-cp39-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

ddtrace-1.4.4-cp39-cp39-win32.whl (1.3 MB view details)

Uploaded CPython 3.9 Windows x86

ddtrace-1.4.4-cp39-cp39-musllinux_1_1_x86_64.whl (4.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

ddtrace-1.4.4-cp39-cp39-musllinux_1_1_i686.whl (4.4 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

ddtrace-1.4.4-cp39-cp39-musllinux_1_1_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

ddtrace-1.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ddtrace-1.4.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (3.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

ddtrace-1.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

ddtrace-1.4.4-cp39-cp39-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

ddtrace-1.4.4-cp39-cp39-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

ddtrace-1.4.4-cp38-cp38-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.8 Windows x86-64

ddtrace-1.4.4-cp38-cp38-win32.whl (1.3 MB view details)

Uploaded CPython 3.8 Windows x86

ddtrace-1.4.4-cp38-cp38-musllinux_1_1_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

ddtrace-1.4.4-cp38-cp38-musllinux_1_1_i686.whl (4.6 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

ddtrace-1.4.4-cp38-cp38-musllinux_1_1_aarch64.whl (4.7 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

ddtrace-1.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ddtrace-1.4.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (3.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

ddtrace-1.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

ddtrace-1.4.4-cp38-cp38-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

ddtrace-1.4.4-cp38-cp38-macosx_10_9_universal2.whl (2.0 MB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

ddtrace-1.4.4-cp37-cp37m-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

ddtrace-1.4.4-cp37-cp37m-win32.whl (1.2 MB view details)

Uploaded CPython 3.7m Windows x86

ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_x86_64.whl (4.2 MB view details)

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

ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_i686.whl (4.1 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view details)

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

ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.6 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

ddtrace-1.4.4-cp37-cp37m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

ddtrace-1.4.4-cp36-cp36m-win_amd64.whl (1.4 MB view details)

Uploaded CPython 3.6m Windows x86-64

ddtrace-1.4.4-cp36-cp36m-win32.whl (1.3 MB view details)

Uploaded CPython 3.6m Windows x86

ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_x86_64.whl (4.2 MB view details)

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

ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_i686.whl (4.1 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ i686

ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.6m musllinux: musl 1.1+ ARM64

ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB view details)

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

ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ i686

ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.5 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

ddtrace-1.4.4-cp36-cp36m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 3.6m macOS 10.9+ x86-64

ddtrace-1.4.4-cp35-cp35m-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.5m Windows x86-64

ddtrace-1.4.4-cp35-cp35m-win32.whl (1.2 MB view details)

Uploaded CPython 3.5m Windows x86

ddtrace-1.4.4-cp35-cp35m-manylinux2014_aarch64.whl (3.5 MB view details)

Uploaded CPython 3.5m

ddtrace-1.4.4-cp35-cp35m-manylinux2010_x86_64.whl (3.4 MB view details)

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

ddtrace-1.4.4-cp35-cp35m-manylinux2010_i686.whl (3.3 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ i686

ddtrace-1.4.4-cp27-cp27mu-manylinux2010_x86_64.whl (3.0 MB view details)

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

ddtrace-1.4.4-cp27-cp27mu-manylinux2010_i686.whl (2.9 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ i686

ddtrace-1.4.4-cp27-cp27m-manylinux2010_x86_64.whl (3.0 MB view details)

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

ddtrace-1.4.4-cp27-cp27m-manylinux2010_i686.whl (2.9 MB view details)

Uploaded CPython 2.7m manylinux: glibc 2.12+ i686

ddtrace-1.4.4-cp27-cp27m-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded CPython 2.7m macOS 10.9+ x86-64

File details

Details for the file ddtrace-1.4.4.tar.gz.

File metadata

  • Download URL: ddtrace-1.4.4.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4.tar.gz
Algorithm Hash digest
SHA256 76df6f04b5f1a11748427b1626a7708b74f599a5ec2c9175e0b13dc6f061f961
MD5 6af705adb2a7fab4190a4a060b2d01ff
BLAKE2b-256 76eca32b271c22d7640cb726d934090697edc4ba16d51da84d9061bfb0b5b385

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b256190abeed1db9a6eab3a7a0835c7c6105f4af640e2c04b1b61747b86cb9c4
MD5 95ab009b873bcc2bcb6b37c542f071ed
BLAKE2b-256 5555f3aaa51191897781d9ed2737ea30b034bbcea9359685f4e6c1a09a026f26

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-win32.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 c4fad53bbdd62ee9636e7fe1619f5880ef460c9bde161945ab3f6ff3a3a57507
MD5 f5dc517a98228d91ed5d564f553146db
BLAKE2b-256 3b8bcdd52f4ccd478ab534db36dfe82031940f8caa24c9102bb128df49fc6257

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c157e8f60d9f342ee83d0af3b6fbf783def9fbdee24d3938d884bff72319f8ba
MD5 8ad4c3a2aff63811de7d14d2d73d674d
BLAKE2b-256 c19e2b84c7cb2ed3c8350e70d700a0aacd357116bace0ce422a31e438b7569cb

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 d5de0dce4c2db6efa0cdca073129680177e94fa239722b3dc79cdbfe8be56ce5
MD5 f7853a0a7f9dc37659ca60ece4e26817
BLAKE2b-256 7d0a13b15ef04d784c0e26266a15cd15d4b5f5a33f97bd6359cb1fa19b5cacea

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 e8807441a6d5e5177723c9668c7ef3f958e8034306efa10bce189430a97a3cac
MD5 d4e073aa3b2cebe6e02313aab55fcbcd
BLAKE2b-256 55c58de852599db750787e0cacece1796f94ae9b1944888bd1b16bc7f79b5c81

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fcdb9276dc4e5a1686e23ef1dee238cfabda2e9291591336700f7683506bf590
MD5 d4eab99d92b52fbd9da36e81314e815e
BLAKE2b-256 1933fe7ca2c96d7beeb881ac99920f07f450aa43d9d3beb8feb53fccddaf3490

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 76dfb3bb45489951def4fe431a6b5a47dccade3da4a53d5ea1779bbb53aaeebb
MD5 39e428e75a9975bbe8d1595603da4e78
BLAKE2b-256 9787d186653b1282bbc1bc0a4c94ba87f62078d88f5a3bc68797576f2143c705

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7e0258dadf0c1e469224a83513ac0b5deaf2b9f6cb24ec0861de5dc399ffd2d8
MD5 5f710f4828c5177d1e9217b053f60760
BLAKE2b-256 35cd9eef615af1f5cf1236556b0339e660f6e37aaecd4cd911c1c0e35bd77cd2

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e310267f1da55726142f938415c241a882d1f90bf4c5754bbbdd70edcccdb6fa
MD5 f0b2ab8c91f652e4b2910030990de254
BLAKE2b-256 df4cfa52df2804a8441dba19dbe084c1aae7f925f2b54257cf0e6b7db2a98fdc

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 b3abcda13d2dbe2a3c169f1144aaae3c32e28c32958745e5ddfeb1f75ee54a11
MD5 de23975b91dd21f8ad0c9da32d66b8ca
BLAKE2b-256 3a7a823324276c81e8da2531dc3698cd871db71bdfbacc8fffb02236b32928dc

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1b7556c007b66857d784bc8e4fd15ee2c36aa95eb44f62cd8d3830d5133a22c5
MD5 e810d2a65ba498135f40ba4bc21bb9d9
BLAKE2b-256 52d94d8189f8f08cee20ee00065c200225349ac22aaf38517a96b737c6b13283

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-win32.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 32e12cc5a5ac7b5afa774020b826b585b0b9e3210f1efbfb367e5e0ac605a4d8
MD5 16677878265d6e0fe7d3f8a8e0b79a9d
BLAKE2b-256 d5ecf0bccace933627bd448459db521833abc983bd6b171bd393821e6f67525a

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b60029409232c8c8ea8180ee83eac3927be754b13c25ecb48a8795a3280d547d
MD5 61e140a7f0707623f84924249f9d773c
BLAKE2b-256 0cd3e0e398578302739265e51a12870e1b30f262ae6a1092331387577361e23c

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 c4373935ea6f2d3cd1c59b95d1a0ed898d4ec496c64cafd8be5b10def2ac4216
MD5 ef614764f53b998a09a21bee51828a30
BLAKE2b-256 174897fc8accdd3d276f2de6bd22c55ff1f723c94772cad1cc2406ccbdf305a3

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 42f15258f1b78ae1bd4c627e0a3169b27c7fded645636e5951afc1b7e4cf7427
MD5 e21090868f42b7d2faca7efb44a4a7c8
BLAKE2b-256 f9ae234a6eec55d01a8fd3815721a003892d5f36106c21a32d1db7846a8b78cd

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6b1949aa5f167b2dfdeba62edb522f1f7a829a6f771e87a98f908b4d38330df9
MD5 42ffd74d6bca7fdd307f3fcc086266e6
BLAKE2b-256 8bddac42ec894e45cecbc16f78a0ce617f7db79acba4957dcc47b727f1cd6187

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 39baae6bed0dd3567fff2481e6a54d0b386f39ba2f08488c755d4dbe15cd033a
MD5 4fc9961ab0a77262f75ac0f34171645a
BLAKE2b-256 15ab7fad64715f149a5b5ac19526129ee2c4ebdfbffa670ffb18aac47bac65a4

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5aa8990d309758b78610b5cd5f1df52ca95dda49f813066806c00c9f083b5eb9
MD5 f1853615983943c9557c4072f8c79ced
BLAKE2b-256 c919f96585cee8e4e085943007439e8451cb38128169287c04f9c2e046394a78

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 97fd91bcee3b69c5dccfe883b00594baa9d6f40afa27a2d435a12a575ca5fa57
MD5 4cb69af4ff04acf0cb343bc1aefa6b2f
BLAKE2b-256 3fbe8462ef312b7a72892187bf31d4b0213d34119dd90abd3b19509915cced96

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 bc8ff615460340c6449b48c75a579ce531b97e4775acd3e19fe25a9b566fa0d2
MD5 0bd5e91a69c0d55ee35260ea4e6ceaec
BLAKE2b-256 3836d328301b62fa3d0b5bcc80af034a6288e8506edc7b01480f24fc0203d916

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ce7f558d3a0eabf0bab1ac773376578778df4aeb80b7f03de0a7bc6c3e67f9bd
MD5 71396fb7d9df80e0d9a14f5db450f6eb
BLAKE2b-256 1f19b79e28350c9c8b47c5ab5a89dcb9de35d8c2eaa92c420a735a80db7d0609

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-win32.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp38-cp38-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 cb1eef2f496b0b6946b78757fc5ccc1baf3dd67397ff41bed03871f2263d8209
MD5 124a0ffe739fd28e5f58085e6662471f
BLAKE2b-256 f99afdc6a7525088ec0a77abf172eb5756988536152310c7f8d35267fd6a8f77

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 922e8e8c03e25d634bfa3c2fc15c204b0ac38c5e629790f4758eb9ca165ff79e
MD5 9105114725dd6fe4d762aa476fc8ade5
BLAKE2b-256 4b8cf7aa80959be1d308a7f7a7afde1821bcd575df589144c3b751abf824c1d7

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 ddfd10cd25b7e08c1c6c92b00cfe3cb9b8c9ee7efaa291a547e13a12a8fa149c
MD5 4b29b7177f8bc45689c726e37d128e4b
BLAKE2b-256 c8dda3acca752d2a66908be0a707595f80a28c8bda637653a0dfaaa861e750c1

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 dfd6023cd25fbc3c5c801db37b16560065e722c6003d2d1c4009999ae76e8819
MD5 02c8589b77e3cb5944499e9b351e2d4a
BLAKE2b-256 4d43a3d7de2091111c740361f7d73b661fc9cb5966f740c06ac6c8e796f32276

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cea39eb7bb6a8ddafdf07cb834c7ca2f7cdbf30a9bd8dcead5c2569599856124
MD5 0ba77133a436aa881af1e333b9736c41
BLAKE2b-256 1f7b17c484eef74777cacbec9a0bc2d8ff7c7f18fa62a9ca47c853dc8e1b5001

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ba59b8a0f6b5d0cc9f970dd7f1787e05a3eb6d6cdc918d52128e80356dee6e92
MD5 75e4c4c82471120ef525c275fa1645d3
BLAKE2b-256 49f50fda0fca35a4695de72e66441a3308f6bb966b44fa606d32bee4b4925a6f

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f7929858e2271ae983946bb14a8571ff706f16cc85cfea0601e7e3c82e1185e6
MD5 08dbf55caab3d484f6548bcde7cf338e
BLAKE2b-256 dab9ed94cb9dd034f04b39ce018fc78f6386a170650f5c20501e76b030a4463f

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ab919417a3b840182316921dcc4047d0b10c34d58c72c4eae7dc9bbaf492c51e
MD5 9280690c4a1fc38c26340cdc3de8f6a5
BLAKE2b-256 9ff3d024de298dd6887942624738bac95b2650eb1b20b4fce6b20aba67624659

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 9fb0f92f1cafe8aec05b946785f79247bba7cd1c9448f3ca05069a7e4f6a22be
MD5 9f6755812287c50883dee45f6bd49fe6
BLAKE2b-256 7af8d748195cc953058d1919947bfffcaa82127b4143d6fe73b6c6d125dbdf81

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ead7377bcc732e81ba0d715a19368376d5bdd040d5a9fda2e3692d2fd0dc1b7c
MD5 894fb17d8c0a091b68c24f79864449e8
BLAKE2b-256 e0f7b58dd319bee726a6a63f99bf27b3eec103c7926782fd1b8a00427f8c0133

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-win32.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 7e80102ab74f321795f613cb4ebaf8cfff44fc74de0adf22cdb8a6362d26ad22
MD5 facbae583feb017bd15fffe6494e30e6
BLAKE2b-256 d87fbdc49e436e0d57720cd5ea5c46ab042729fb3abdce05552336aed71f7277

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 fb7ccb1960703021b3efca1ad181b5c1c7e9ee7fab660ef4fd97f2437d98101d
MD5 95e43f69f823d1740c8e3a3e25e4066f
BLAKE2b-256 94ebbe48a0080519eb15654a799cf90fac9b2b832bd5c4f36c0103c475d66736

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 1fd666f2428df5fc46204e828c8805f889f47ec33dacbd5bd291d38997b58438
MD5 9c558eaafef158cc02b23cfadbac8626
BLAKE2b-256 d446768a545722b7758bbe61d35479160b425963a5dc292fee6f23b3c618fe72

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 47fb73e3067913728f45741cf235286d9b093334409d95b9ae157fed90b0f2eb
MD5 d1850ec2ac1f47156831a07e075e6350
BLAKE2b-256 084c07b3069c6082de0f7d820f5740b8a93e743266373a4eacb6131c04949202

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bce4ca453d8b55ce8e8d7174d5cea0d3d8ec3982321041b9d03254552c4e546c
MD5 c3bf7925657478d3aaadd4b4ba4c8a3e
BLAKE2b-256 64b7284009a3a55005bd9bf75fef6439c4ded19d6e2f9cdc71c97949f7c4a07d

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 86b133df362452f7b779ccc8209ec09f05082cdf86d5b2f1c2dfb1eaa1ffd222
MD5 fdb07e364c2d48873a82033f59848042
BLAKE2b-256 fb7bcaf97f2c979d8a55e8a3ff47dab6939145413e241f0852dfb7c8feb091b9

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5df9781ba45ceb4dfa7daad0180c08aae8708a42c5d16f923db786b5396b269a
MD5 30be5d05e0118279d71cbaac5381a31f
BLAKE2b-256 13c42b2915785aa936633debd2bd6afea8bcd813d1bd2379ccc8c1ae64042484

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ba27d16fedc3db70f4547ae0c1a7583909aab2e22c7fa7c43704548435a20020
MD5 46e9e87c92b6da46f130eb39b8da5b02
BLAKE2b-256 e1bfb64d32a9cff22add2349d5d1c4f025a1e35f498693aebaa3725e21070082

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 3ee8150a3ad0b0f9721014733686c824c39340af9fe5dff4d60c4b81b0902423
MD5 2383a6f7919c70b1e3aa398ebb8f5dc7
BLAKE2b-256 6d2e74d805ae812ee88eabab8e770ae9e8617a85908d3e390b1147f7f523fbbb

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-win32.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 4c20960b62099ab74a8a8a51f1ad2c9fed2dccb99b7bee544cec9ba5b7a022d9
MD5 8074c5badd5f7b8eba863ad8e11ba631
BLAKE2b-256 406d2b76c889fff16a30c65ae0bcdecbfc98632ce58d3bd9bbaf95241cfd234b

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a37ac9cb8e5f412bafa607746dd426bcc6dc2e6cafb9ac77ca0b280155476508
MD5 21889e6606c261fb8606d3d8065b21c4
BLAKE2b-256 ccf72502de699bd7803d02ec450b2cc1e3a308be1f93b9993d84c08bf191c439

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0cf0f51d9d47bc7a5cc13099c9c1c0ec0f23ecb1349cff9103cd0bed2295a391
MD5 695347c68f25060d5e75bdb6f53f3edd
BLAKE2b-256 9f64f64a664853a52459a56dd36e4939f029c9b5d936fbf5059ea3936e7ea0cf

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 5f5359dc91aa23e2e53aa9c12dd098621ca4b3f39b0b62f203c219117294b5e6
MD5 2053941508e0e13a9049a6226f6b0d87
BLAKE2b-256 a6f7adda91ee6689100806f223239344c356ec55ea4c2a02e7b3d60dab2f86a5

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 67663b0f60724a1b6e8fcf7367d45010f830e8ed30db58d6868594148b7a7ff0
MD5 175d792ca80ebf51be26ccb77bad90ec
BLAKE2b-256 0a247c33f49897a038c3b7f1cc3941652ebc7476b9c1265be5a9c8d62f1ac47d

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3ba1090f434afd59f83a0cdb9b42bc79a302a9f6c03eee1962ff9a48d70744b9
MD5 3cbe4f277a49b70c3e0290502518f575
BLAKE2b-256 b5d792acb062f3cad3ef4fcfa84d84daa40fc0556137e43eb90e771b0d59152d

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b9feb542515b5666a0d075b1ef2118c2c8c1a9b0bc214b1c715016eb2b0ccfd7
MD5 9354c407de2dc483e8a70fd86b132f28
BLAKE2b-256 30dbf949a6759b50ae8b8fba2c1e6d2ff9154e1fb992678180b453f2a4a28d9e

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6f2a5afb7e49152a81cacf71f827051e13882c85aedf7776c2bd4a24db115ebe
MD5 0ace856f0aa1158622d268a3874b8f11
BLAKE2b-256 a76fcfd56e0bb884b485cb7b3815e6c4e55e65995ba742186b6e38018205a046

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 9fb50a51062dcd14ae078069d1856e18b22aa5baf79d29e33b0076b517b53465
MD5 12c9a4663025f624b548ba0d339dd4b2
BLAKE2b-256 ff5bc16de0b301e790d68c6cf161b8f0480c14431191abf45bc78ffa998e1e94

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp35-cp35m-win32.whl.

File metadata

  • Download URL: ddtrace-1.4.4-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for ddtrace-1.4.4-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 d525874a7b9796bb0b0be851fef8b36f7cbf8271ae082db4dff95b78b309742b
MD5 505f248f71fbd87963e4aee663b8dd1d
BLAKE2b-256 6f7e3b4d3ca5910fcabeda24385fda66aaed9dbc43bb365104ed070fd940a3b4

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp35-cp35m-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp35-cp35m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ef46a516d088d392b227d11de67628ca29e7c3d7f38b54a5e53355bfdbfd4ebc
MD5 8741ba3b44e1deaa201b7c97b3c45b26
BLAKE2b-256 2f7dcada66f93293bf4519a29532cd8b57d52cf278bed0f864e21b31750668bb

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cb35e9f1a05c669fa078971e44874fe312492c0d9b4a823a37dc4df88eea76b5
MD5 50c901c9d1ed2431567fadfbde0b6a16
BLAKE2b-256 81392a7e89ae601ddf62cc4728e8c258bd541882cee1957b1631eb7946b31bc6

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp35-cp35m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp35-cp35m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 386486b0aabe4d6da3a8618b072a578d96b8fc3ed59fffb64aeea42e2402f92e
MD5 9c0eadc13ef871732676eaf3711dbf4f
BLAKE2b-256 a659804c8afaf2aae43f2c75b18df0a79f726a505d731e27069a48cae48b83d7

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 13572b1bcfd1cf75e8c88413c10bd911751d1b0994af08ddb0d0302bdaf9f027
MD5 8577f51dea7a56942e7b5016df7b1434
BLAKE2b-256 5006e5b8d4f23ba82b84f81a4e2df58e985749e166ec58ce8733221ddc6e47e9

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp27-cp27mu-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp27-cp27mu-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 e7c01d738c2812c5f0a8689b120181d6d73cb8aabbf8db0c3f70cc4b2d217efc
MD5 44ae26020cf376de061e4a74cfe25cb1
BLAKE2b-256 b017d92b04521a4402d818c5ae372647d4e28fe6d5424e24ab16cbfb8edc48a6

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp27-cp27m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 67fa869d048a2c7eba896251d62967aa5a04e44e971f89de0d16a0bb937fb22d
MD5 6e70233ddfe53d85e5a3763260e725bf
BLAKE2b-256 e108d7af3151c0fc36b37acc7bb20e94bb40fc8bc148d9c84ff911dfdd9148a4

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp27-cp27m-manylinux2010_i686.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp27-cp27m-manylinux2010_i686.whl
Algorithm Hash digest
SHA256 46680211303d6bb9e5ca052380901af63d31688c7a14860958661bbeb50b468d
MD5 29df50e717d7dcbe40e1dd6da5881aec
BLAKE2b-256 09f83460081ac1574923b34d17b908a997507619e0ca217b33351e62f5f15f72

See more details on using hashes here.

File details

Details for the file ddtrace-1.4.4-cp27-cp27m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-1.4.4-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8019d8fc4e3adea7f8acca34989c5c9ddd6820b2c87884765c757a8411a652d1
MD5 892d8796c5c023c993c47c416aa3aae3
BLAKE2b-256 d218ef8da292d026579da754e713bb5f549b3ec8769c31a7aa72af863541236b

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