Datadog APM client library

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  • License: BSD
  • Author: Datadog, Inc.
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
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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.

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  • License: BSD
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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

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2.15.3

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This version

1.12.7

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1.9.7

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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

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1.4.5

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1.4.0

1.4.0rc3 pre-release

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1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

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1.3.0rc2 pre-release

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1.2.3

1.2.2

1.2.1

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1.2.0

1.2.0rc3 pre-release

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1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.1.0rc3 pre-release

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1.0.3

1.0.2

1.0.1

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1.0.0rc3 pre-release

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1.0.0rc1 pre-release

0.61.5

0.61.4

0.61.3

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0.60.6

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0.60.0rc5 pre-release

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0.54.1

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0.53.3

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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

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0.50.4

0.50.3

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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

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0.49.4

0.49.3

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0.49.0rc2 pre-release

0.49.0rc1 pre-release

0.48.4

0.48.3

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0.48.0

0.47.0

0.46.0

0.45.0

0.44.0

0.43.1

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0.41.2

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0.37.3

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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

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