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: LICENSE.BSD3
  • Author: Datadog, Inc.
  • Requires: Python >=3.7
Classifiers

Project description

ddtrace

CircleCI PypiVersions Pyversions

bits python

This library powers Distributed Tracing, Continuous Profiling, Error Tracking, Continuous Integration Visibility, Deployment Tracking, Code Hotspots, Dynamic Instrumentation, and more.

To get started with tracing, check out the product documentation or the glossary.

For advanced usage and configuration information, check out the library documentation.

To get started as a contributor, see the contributing docs first.

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: LICENSE.BSD3
  • Author: Datadog, Inc.
  • Requires: Python >=3.7
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

This version

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

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-2.8.3.tar.gz (7.0 MB view details)

Uploaded Source

Built Distributions

ddtrace-2.8.3-cp312-cp312-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.12 Windows x86-64

ddtrace-2.8.3-cp312-cp312-win32.whl (2.4 MB view details)

Uploaded CPython 3.12 Windows x86

ddtrace-2.8.3-cp312-cp312-musllinux_1_1_x86_64.whl (4.7 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

ddtrace-2.8.3-cp312-cp312-musllinux_1_1_i686.whl (2.7 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ i686

ddtrace-2.8.3-cp312-cp312-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

ddtrace-2.8.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

ddtrace-2.8.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

ddtrace-2.8.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

ddtrace-2.8.3-cp312-cp312-macosx_11_0_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.12 macOS 11.0+ x86-64

ddtrace-2.8.3-cp312-cp312-macosx_11_0_universal2.whl (3.3 MB view details)

Uploaded CPython 3.12 macOS 11.0+ universal2 (ARM64, x86-64)

ddtrace-2.8.3-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11 Windows x86-64

ddtrace-2.8.3-cp311-cp311-win32.whl (2.4 MB view details)

Uploaded CPython 3.11 Windows x86

ddtrace-2.8.3-cp311-cp311-musllinux_1_1_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

ddtrace-2.8.3-cp311-cp311-musllinux_1_1_i686.whl (2.7 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

ddtrace-2.8.3-cp311-cp311-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

ddtrace-2.8.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ddtrace-2.8.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (2.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

ddtrace-2.8.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

ddtrace-2.8.3-cp311-cp311-macosx_11_0_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.11 macOS 11.0+ x86-64

ddtrace-2.8.3-cp311-cp311-macosx_11_0_universal2.whl (3.4 MB view details)

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

ddtrace-2.8.3-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

ddtrace-2.8.3-cp310-cp310-win32.whl (2.4 MB view details)

Uploaded CPython 3.10 Windows x86

ddtrace-2.8.3-cp310-cp310-musllinux_1_1_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

ddtrace-2.8.3-cp310-cp310-musllinux_1_1_i686.whl (2.7 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

ddtrace-2.8.3-cp310-cp310-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

ddtrace-2.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ddtrace-2.8.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

ddtrace-2.8.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

ddtrace-2.8.3-cp310-cp310-macosx_11_0_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

ddtrace-2.8.3-cp310-cp310-macosx_11_0_universal2.whl (3.4 MB view details)

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

ddtrace-2.8.3-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

ddtrace-2.8.3-cp39-cp39-win32.whl (2.4 MB view details)

Uploaded CPython 3.9 Windows x86

ddtrace-2.8.3-cp39-cp39-musllinux_1_1_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

ddtrace-2.8.3-cp39-cp39-musllinux_1_1_i686.whl (2.7 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

ddtrace-2.8.3-cp39-cp39-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

ddtrace-2.8.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ddtrace-2.8.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (2.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

ddtrace-2.8.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

ddtrace-2.8.3-cp39-cp39-macosx_11_0_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

ddtrace-2.8.3-cp39-cp39-macosx_11_0_universal2.whl (3.4 MB view details)

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

ddtrace-2.8.3-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

ddtrace-2.8.3-cp38-cp38-win32.whl (2.4 MB view details)

Uploaded CPython 3.8 Windows x86

ddtrace-2.8.3-cp38-cp38-musllinux_1_1_x86_64.whl (4.8 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

ddtrace-2.8.3-cp38-cp38-musllinux_1_1_i686.whl (2.7 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

ddtrace-2.8.3-cp38-cp38-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

ddtrace-2.8.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

ddtrace-2.8.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

ddtrace-2.8.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

ddtrace-2.8.3-cp38-cp38-macosx_11_0_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

ddtrace-2.8.3-cp38-cp38-macosx_11_0_universal2.whl (3.4 MB view details)

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

ddtrace-2.8.3-cp37-cp37m-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

ddtrace-2.8.3-cp37-cp37m-win32.whl (2.4 MB view details)

Uploaded CPython 3.7m Windows x86

ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_x86_64.whl (4.7 MB view details)

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

ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_i686.whl (2.7 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_aarch64.whl (4.5 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

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

ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (2.1 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

ddtrace-2.8.3-cp37-cp37m-macosx_11_0_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

File details

Details for the file ddtrace-2.8.3.tar.gz.

File metadata

  • Download URL: ddtrace-2.8.3.tar.gz
  • Upload date:
  • Size: 7.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3.tar.gz
Algorithm Hash digest
SHA256 2e12c0ddd370aea24a2f7e502d0d4751659a2f2c7bfcdfd96381f758db63b030
MD5 54d60fac3106ce0919a6a7eb3f97cd4b
BLAKE2b-256 530d0a094673c1aaf95df0e3ae2cc8a8e46593b050fe6708c05b4fab0dede2b9

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: ddtrace-2.8.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a48688e8992abd8cd67f53aca2a0e65cba3d93dc70e1ecf0f5c87139fe5cb070
MD5 5bc834c9f846efd8bb16774725792fb5
BLAKE2b-256 e5ff4aab14dd9677e98bc928c7f90a7ae15884021b30dd716827a4e7d2dbf458

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-win32.whl.

File metadata

  • Download URL: ddtrace-2.8.3-cp312-cp312-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 2d4fe6955650021ec1ba5e7eedee17cae4ec424d0f0519cfeae4b74793a222fa
MD5 f12adea4ea11809b6a7b26de89a77baa
BLAKE2b-256 bbec2e85ac889feb7eb05a3275bf25dcf12cccd0d2d003af4f6794d598c2165f

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 0a552d848512f4eff0a595e3ae8aedf15a138022573dfda398ef13fb29c44ab8
MD5 8e4513203e4c4556e3e2486dd0514490
BLAKE2b-256 02d8acf349f1b3d179d558d17c8be727f13c8a62541bfb9ac1b3e5816e40879f

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 137bec53b9a4054f708af144dfff64956973c750f8cb8f9b887fcbdf236d833e
MD5 e2ff5e1848dca9dc8c907d41e0309bed
BLAKE2b-256 894b8b951004fa43868fe3dded5fceda33f99588112e7b4fe91cd25ba5b84a2d

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 78955cc5f6c4fbe6ae736f5b86ed9631dc16094bb0f78df7c4cc0d1a2880ce07
MD5 3ea1597e7b801d0702febac7c11b9d69
BLAKE2b-256 5de5401c852ea4787bac6405562d99e0412518558886ef2c390d404c19ffd21e

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ddd3b1cb15e5afb4f23a4e2dd5fb6365817d2286477c843deb22f710c3f18cae
MD5 10d5d9e3196c5474439926c966487899
BLAKE2b-256 e73994109a716e7e2e4066bb8ec712baf06658ef99b0b3fc863e35051259127d

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 327741cf168d6a682591bd3a6f31d4d69da960c2c2f1e2ea7912f4aeac658564
MD5 7b4fdeaea4380457eb56266c14e90dde
BLAKE2b-256 47157b5c55c5e370508837a7dfe9c1e046c7921b6105a0b69100e05d19b4ba41

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4aa544d5145b8a6fdc0111ba854c3330a62e56b47f0cfe1cdd5997b6bf0f7783
MD5 ab4e7a96569c1ce866a78355dbd6e816
BLAKE2b-256 8e00b85d7eefe1c036426660c47edf205da90d06c5526f1ed4ca0a466b2e3ae6

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 c1c0513a9884e13a14ffbd0a4fe7988b0b8c3adb07b3a4328224c680ee2a0893
MD5 c6a94cec3776462aadca4cef9e947f5d
BLAKE2b-256 06c81e8324d0cfe5e8489e2d68eef24284c53860346b948a07550d2b81413bf4

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp312-cp312-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp312-cp312-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 2c2eacc2aefaebd5bca5aa72ed773c42e6be370ab28310ed5bbeb769e93bdaee
MD5 65d2a15b9b79431e5b67827f69e0eb8d
BLAKE2b-256 a91c27cdd1aa774cecd3ab7e5a54ca7fb19dea0d77f25711cd6a599ffca601c8

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: ddtrace-2.8.3-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/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 42ed7b457b8b8d440cf4a974702d1c424680cfb19275e545c7669dae207301e2
MD5 ef9bbc735741781db36914d624887b9a
BLAKE2b-256 59e7c27739fab1d510fd03911f7299b02a64fef0e870318ead54121ff7336f3b

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-win32.whl.

File metadata

  • Download URL: ddtrace-2.8.3-cp311-cp311-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 85ab1e443a1875206d75dba835a09f795bbe276b02210ec994fe9f98182e5a24
MD5 3e4c1ffa219b1763f7d4fd0573ed01e7
BLAKE2b-256 fd7bb31a2910582810b4f652b38b1697bd4a37bf4a12b255b3ec339d56a3b88f

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b824276149f18f4f38ac63098e0b0313da7b344b11bedaa0c97a64402c43c316
MD5 cf9caffae42e23b5833026a84b0baabf
BLAKE2b-256 327019e7f9623f75007664f3bdbc4e6a50a48dd01444945c523e658313db1e2e

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 5886a3934c7c3a4a4f83ae8d3a19d58d2069a86a2388a20348eadceb2955fc90
MD5 44faa1876fb086bd25a4c9af155f4097
BLAKE2b-256 587c676ef17e39e31e90bb3d4a10db0deb4d33cc01f44d020deb60a1fe15d280

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 85b97c981d02ebe56bf1ad04a70fe749cb665af5406cc99162f60ad1b3b35c19
MD5 84f04cb18252bb1603a0e8578855038b
BLAKE2b-256 07c6ba654756c93a4b9ce729d913aaa8d7e45bd74afed19e8023c3723dd19162

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 49f30d62e1cdbc0cc9bdd4843c52c436ce132de287ba8873d736427fff8d8a89
MD5 dd9de36eb176ed41e1d9a59072b26cc3
BLAKE2b-256 15c30d9bd2f8db7e56efa1b67b71ab3b0f53e38f150812226c5e3550bd228c5a

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 f85a5f6fd73d54043a353f93c3965b61eadadcd48ac1bb14f70204463efdccf7
MD5 d0c61687ea3b659213aaa179d8061fa9
BLAKE2b-256 9b3cdec6351a0412a9c663bdfd24e4d40af994646dfc380dd75671f610d7e8b4

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b1aa8f8bbf78646c969e5ffc455f5859072c8a726923a3fd32b8b5e2e2be78db
MD5 25c7450710ea62a976c7499b067117c9
BLAKE2b-256 2cf953f0a7b400ae7e0bf48a7f29906ad90539f244463fc2ee9f7c2cc5a85c1f

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 a1835638956b058b81f9e27aabd96d4cc65e673167e5a4d3280b4d163f5782ce
MD5 b297d7664501aea4e684292c5a132f75
BLAKE2b-256 d629b96ba21778c1ef98422f383b4f584edcaf2277ca5ea3d54e5e3ce9b0421d

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 f9bdf987d59226cad3694c368df1773bc210b66726d5bddc0460b6602c42f102
MD5 a51ea1a5d4059a5bd09ed0abf4a40508
BLAKE2b-256 1dc58c802f41831604fc4d32acd56a657ded2e6820badd79b7b6a95ac2663ed0

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: ddtrace-2.8.3-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/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 cc58d0bccd841321240446df4cc084d08a682abde9e7814e3f16ffe9f8e2908b
MD5 deda9b61201964fe6abe10c99b86ca52
BLAKE2b-256 b7e104580ce522b401c1233dc643cd5ce2068987bb279831e388d688e737fcef

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-win32.whl.

File metadata

  • Download URL: ddtrace-2.8.3-cp310-cp310-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 2c81418b3c67ef35b424da4d4e3bb77c81b9522f94d6a24650817f8754adf56c
MD5 83b1c15338384cfd420b28ff72aa4eb9
BLAKE2b-256 3adca62a88f0648db4c14fd94cf91ab69247d55aaa2722fbf2d44c9630d59160

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 dc92ed784d7404fa9f876422bbd0d1fe6230908131e3568e35b1abf73cedae08
MD5 63fc8542304cd935d63663512ca70c04
BLAKE2b-256 764b84f3e15c112bb3e6d85eae607fddee622abd9848740101241622fbf4a0b3

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 581241fcdaaf7aa915f9c5a905d4da6eeb534f0d292126b43c75dea897a01d0b
MD5 589c1c3b322cc8652ec9e55c30c9b26f
BLAKE2b-256 eaa97eca48ee3e1d2364dce6c77fe0ebe930efc882f5b7a5f82b433d43e4853f

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 120bb6b036b48cbe0d08ba7c1aac5def68561162f48c0fa668146cb9360881cc
MD5 4c2ebee8dbd5e37a0adb3b7826f2fc28
BLAKE2b-256 ee0255ea3f943824b2caa14f906ea61711db876db96b6e8ea4ab0d36881d34d3

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 085b52a786a59bb23375ce5c6692f61669c524a4e2de6696cf84a4632b3dd5e9
MD5 8b5969303ca0e3db28d0abb83c72eae4
BLAKE2b-256 ea421dbe330921f5cce40cc0e8617aef41ae5d253382a058d40d8d4ef2f8ccb5

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 eea954ca646d74f9181cf68a1bb9ddc165fa4c6ee326c6b4d475236b0273970d
MD5 bfec419408dd046fc7ff2ff9d92bb5a9
BLAKE2b-256 414583e2d3751c7139594392a181290897ddd386ca4b79c7486b1aceba83e764

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b31d7130635e35ece034cdaac11223214a3efac7253c2235a223add3ce3be47e
MD5 94409b03a86b6499f35296579eb614c6
BLAKE2b-256 4d6b70d31d3e3738cc3b0b3bbbcaed22c6c18d37cc18cac03c05d5c70e910f57

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 e3f7ac8c53b6c4d266afb14cb16c7dccd5c86c57196a68167d07298d7c635fa2
MD5 a1fed4992dd019c2cd89b207bdec878e
BLAKE2b-256 dd68493d56ee4cf8e38952b5c016e9365db3c4c96c9c0734bf1522f933cdcbfa

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 2dd1e2c5dc28c54d7c5f205da0d3f18cfd9fa961f08de252faac931a27d8dca3
MD5 70fddca1ba62e8e2dc3474b32f66de98
BLAKE2b-256 16d4b0839931b88fc2a52a99c04eb77a2bf45fd28605f1ff02f59738a11b1531

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ddtrace-2.8.3-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/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3d13cf254376672f6639243ad1c5451e58a3b1cb83a623adb106d352a1ff8778
MD5 8f67a08b91fdf41b7de3c9308c50bca6
BLAKE2b-256 f0de744df66e63530da70034d88607c477383a346bfab2fec751bf4838f6cc63

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-win32.whl.

File metadata

  • Download URL: ddtrace-2.8.3-cp39-cp39-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 84abdbf468fb82f2d139fa26be02231e3b7832496cad5e1f372ffd3b6202c12a
MD5 637e7988457bc2bf7e213a29293f4eec
BLAKE2b-256 5dc9949499066d372f53e116d45d4249c8820c530ff4baa88fe3e3572b3502a0

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 109dcb9b14b7ae49a3ad4163ed69793bdca81c8686805c6e97bde595ded2ec31
MD5 40e9ec7a986513e01c56df22a4d27c86
BLAKE2b-256 20771fb8a806a3c27e04f08ebbff261d9b23ce1b3b259295d3a8e22bcfbeec43

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 242b32f12c8d99b33621414138ca8ecd26a3a5a38eded2e082c9ec881de9f92f
MD5 e149d6bc1f6c0f810713a727a06910fb
BLAKE2b-256 3b546d69af37e27c57b08b06b0688c09e9d5b2b8a061262a49590e090d665070

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 05fba7029505793c336fdbb7b4e2150b74616d12a9ebe9aade7125ce23682b7f
MD5 a45149240b9fdf926b14d58e2307f2d3
BLAKE2b-256 c1bf191020f3c0bb8d2fa0a4ff25c5cc38350181d180274872f60ff5abfadef2

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5c705955b25bc44c8bd1a8977070a4f056536cd89ba01d5eabacb1bb7d446e21
MD5 38d199fe42d78ce0f9dc860e31d6cbdb
BLAKE2b-256 7d9d9b5c6dc204f4aadfbc52bb45b2783dab398d663731913370a34a127e50e4

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ae98409db9c0e1bdd30742551e97abebda054a8b23c8ffe3e6948c64ff1f0381
MD5 d7dff44a4d839378fc9e851149141fbd
BLAKE2b-256 b980762177515de4b4229c4194654b6066ff17524b24c900ab76bf515b409a89

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 62824305475255bccff10f84d843d238242d79980c7f008024ca5bec66d34700
MD5 6baf5969aecd0d67a76034d3eef830b8
BLAKE2b-256 ffafbc2d74245732a2cac5d32997ccc07b26859c52ddf664be84470f600aafca

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 07bb150b09096710e39a2eb0b11e99cc1c253b7da4e921169132bae9e5229c0e
MD5 f88f0b319ed1cb26e19f874f30794961
BLAKE2b-256 2b9398202319bcd5163cc6ed7ca130d404b71c559c3c5d5a8bcdff4f099ff727

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp39-cp39-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp39-cp39-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 21437d0786b19e1d6656c76564777483ec4ad9186cd73d1c83756a430f503340
MD5 e08a93bf76e71d277b516f73138584f4
BLAKE2b-256 cb823498052f49fe35334ecfd298bd72c7a710edb6013ee663c9ef886c9682bb

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: ddtrace-2.8.3-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/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 66c0c57d28af7a97f8a9110d8db35b726c5e04820ff05cc6b5d029af79b0c5a2
MD5 fb0b2674be9b87cd0d48db2ddfc2ed16
BLAKE2b-256 cd3846c4ce472f0ba9067f7c4c22327a315849fa95c81f8da24e39ab296f4862

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-win32.whl.

File metadata

  • Download URL: ddtrace-2.8.3-cp38-cp38-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 631760c8f96c3274c74ebd4552a29cd4b038403aed60fb3caae4d398f395e640
MD5 34876c2b55b180377181bdccfe012693
BLAKE2b-256 f2ce366f43704e9e21d03a2c155ed0ea5511f00bf9fe123a63059aea386a614c

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 375cf64113e0f8320d1aee29aa3de0a25ef6f7b5a5e33a6591996d4f4c9e1619
MD5 d318cd7a63ea7e481022f75e6a03854b
BLAKE2b-256 00daf53b2e832b395d551ed4244f6157044a3b5f5d7f25b98b952a6bcc99bf33

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 f732914c7d67ecb5561a1c937935bbcb63235f34f753e211d0617498d92e8215
MD5 1ae77172bb13eb7a695ac9dd18584f74
BLAKE2b-256 4c03f0cff17f580971a441448623eb59541facae7f4fa644570f9ed4b00c7df7

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 81a29b5866e649719db3d791f58bf0bd4f146ceb5c01428da449b80b5f1cc756
MD5 86032e25bf0cf7028573a9b2223dae1f
BLAKE2b-256 f8e8b0c8a40b6e7eb2b5fc30f8ecd0dd38737aa9613856bbba53b6e1b253c578

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 97e63c025b0c694140da169dcf3a6de3a80e1a23cb9615caf42b9830d153754d
MD5 73ca3891759328b40186b238cbc21ee6
BLAKE2b-256 46678572ff52cfd0a8669b52ebdcfae51fc343f99d0caeb2dd23d8c8f6b269bf

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ed5ae6a1dee0b5edb16ddcc6b2e75550b7e307d9c853d43c20b91167049915ad
MD5 6b5b6eff97bdaa9bee050d3a183a34ec
BLAKE2b-256 b237b841b8b43b00b8d72141898e7e3fd16dc794ccf356185d62cc24bdfe89a0

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 678777800c7af3740c0f01a3c3bfa593810d5c3f52cb49afd1da54ef7515542d
MD5 017885e46c5ee3e6379952f8e6031036
BLAKE2b-256 893adb34c4a5c7d2a6324b9718f21af940dfec6f0cd58502a9c4284eac876388

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 22de687001e191f592c8cd05bf371cc8cb374054f7dcece61d2891d1c099e4ca
MD5 fe8059d1185c7d21d42b20fd548e37c5
BLAKE2b-256 51bc5258bdd68eaf43a9cd70908ea4f0dc3d071ce2f367b2e9edfae5ca833f39

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 6d62d9306c7fdc76ae46d51b7a04eaebfe08926354734845ea62c4a3e30b7dcb
MD5 b57302d16f47cacc1e27b0d4dbec03b2
BLAKE2b-256 e61955eabebb91a219a5343989c72fe3caae2844e1cbee07af8d815c960712a9

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: ddtrace-2.8.3-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/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f8c46560d6426c38d9852a759a19cb02be861a5b6adc65b0ff6975f7ec98b06b
MD5 05f45cfb5c313a78ab223e4e817d8758
BLAKE2b-256 f0b628c91b0a9d0a2c62fcd2b85b48236d32908cb5b5fd622a1c737dbcc7385b

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-win32.whl.

File metadata

  • Download URL: ddtrace-2.8.3-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 2.4 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 0bb970ebfba291ef17dbe77f4cd86a1875e28872841a5c7761dc07834920001f
MD5 a4c95b90cbc9d86b88798e0ea43c31d6
BLAKE2b-256 3719c93a4cead821afa4f7956c7145807fb2e8e930372eb65a1df66943ca7bb9

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 2ffdd964c5c2853f91435b3b707d093a5395aa7ed71ba86f60c8cda301347fd1
MD5 76e4d213fb34dad3ec27743935080326
BLAKE2b-256 93a8ddc9fda2b7fe3216aebed8a68be62fb68e419041783d99bd18eb56e74e8e

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 0fea1e2a244b94cde1468a4425ac11fc78f97b2ad42542257f07fa42f4626af5
MD5 cc95b0226fbfb8400566d3872215f514
BLAKE2b-256 db4c4eaed9765751044dffd912aeea4a5fce5d1d4e5ee556fd44c667f4421b79

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 10e34fcfe784646b88f2447e32efd68de38650c2a6095841f38fdf33d9cbc4de
MD5 faa03bd12275f3b91f21a0c32947c67d
BLAKE2b-256 ba7c1c1130bf5e4b8d740018188977751169ff81d1d525225f3a7ed1c844e583

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b90fbb17c87ede4c581c2cc1c3dca1b0c6b76ead5885f12a69715cc8cb5a4e81
MD5 81ba0f44bc4de336e0f016c616adfe63
BLAKE2b-256 190846f3def28dac4b4664a87eb9012b0f2ac128dade0baa2905e79a68ad2c53

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e7a78cfb9ac547879b5a98322714f3b185af31b2e257d32f6b473c7c573d727e
MD5 837b676e28a00f5de828ca7a70e379ee
BLAKE2b-256 b58bf9e6cbfe5295779c2da91a4c17f263d80d9f5d7dbdf3b3ee9b90b5e73590

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7282e8c1d07e218462c4e9216cd1ec4ebbb416fbe8630ab31ac49ff103b15f9f
MD5 8acc6c9c2f1548ea088fee34a67d39d5
BLAKE2b-256 97e2893871d1ed450c0a7727a6ed9cde1b94c71da6a72fc4b1531ba6f436df10

See more details on using hashes here.

File details

Details for the file ddtrace-2.8.3-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for ddtrace-2.8.3-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 f507a2db605141554eb2c15f55da49bcb840b9c89331f18d0525b486c59803e9
MD5 a181664e546c6dba9e91ce1baa81e66a
BLAKE2b-256 1c7a1b1594245d4d6335d8c98a18eeabece5d69541e9cbc9e5f5d81c0e68c9e4

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