pyATS is an end-to-end testing ecosystem, specializing in data-driven and reusable testing, and engineered to be suitable for Agile, rapid development iterations. Extensible by design, pyATS enables developers start with small, simple and linear test cases, and scale towards large, complex and asynchronous test suites.

pyATS is initially developed internally in Cisco, and is now available to the general public starting late 2017 through Cisco DevNet. Visit the pyATS home page at

https://developer.cisco.com/site/pyats/

Easypy Package

This is a sub-component of pyATS that aggregates script runs into encapsulated environments, collects logs into archives, and sends reporting emails.

Requirements

pyATS currently supports Python 3.4+ on Linux & Mac systems. Windows platforms are not yet supported.

Quick Start

# install pyats as a whole
$ pip install pyats

# to upgrade this package manually
$ pip install --upgrade pyats.easypy

# to install alpha/beta versions, add --pre
$ pip install --pre pyats.easypy

For more information on setting up your Python development environment, such as creating virtual environment and installing pip on your system, please refer to Virtual Environment and Packages in Python tutorials.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for bastell from gravatar.com bastell Avatar for cisco_devx from gravatar.com cisco_devx Avatar for dwapstra from gravatar.com dwapstra

Credits

Author: Cisco Systems Inc.

License

Apache Software License (Apache 2.0)

Requires

Python >=3.8

Provides Extra

dev

Tags

pyats easypy runtime environment testing

Classifiers

Report project as malware

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyats_easypy-26.8-cp314-cp314-manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.14

pyats_easypy-26.8-cp314-cp314-manylinux2014_aarch64.whl (8.9 MB view details)

Uploaded CPython 3.14

pyats_easypy-26.8-cp314-cp314-macosx_11_0_universal2.whl (3.2 MB view details)

Uploaded CPython 3.14macOS 11.0+ universal2 (ARM64, x86-64)

pyats_easypy-26.8-cp313-cp313-manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.13

pyats_easypy-26.8-cp313-cp313-manylinux2014_aarch64.whl (8.6 MB view details)

Uploaded CPython 3.13

pyats_easypy-26.8-cp313-cp313-macosx_11_0_universal2.whl (3.2 MB view details)

Uploaded CPython 3.13macOS 11.0+ universal2 (ARM64, x86-64)

pyats_easypy-26.8-cp312-cp312-musllinux_1_2_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

pyats_easypy-26.8-cp312-cp312-manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.12

pyats_easypy-26.8-cp312-cp312-manylinux2014_aarch64.whl (9.1 MB view details)

Uploaded CPython 3.12

pyats_easypy-26.8-cp312-cp312-macosx_11_0_universal2.whl (3.2 MB view details)

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

pyats_easypy-26.8-cp311-cp311-manylinux2014_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11

pyats_easypy-26.8-cp311-cp311-manylinux2014_aarch64.whl (9.1 MB view details)

Uploaded CPython 3.11

pyats_easypy-26.8-cp311-cp311-macosx_11_0_universal2.whl (3.0 MB view details)

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

pyats_easypy-26.8-cp310-cp310-manylinux2014_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10

pyats_easypy-26.8-cp310-cp310-manylinux2014_aarch64.whl (8.8 MB view details)

Uploaded CPython 3.10

pyats_easypy-26.8-cp310-cp310-macosx_11_0_universal2.whl (3.1 MB view details)

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

File details

Details for the file pyats_easypy-26.8-cp314-cp314-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp314-cp314-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 78d9212d4ee2384d24be0b3f6cc1095e90ad6fd3bfef657e9ba1ec09f51decef
MD5 5968a4dcc48bb9a7274caa37b3e4b490
BLAKE2b-256 cd9c3edb776c9ca7a8761b5fb4a26b98347f7121327e48bbfa1b70d55c4e839b

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp314-cp314-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp314-cp314-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7cfc786b540372dadaf9eeac236c3b40d771ebef2da8d5001be79b85bcd48c94
MD5 0d83d4e7e673a65e30236fea0c6f8877
BLAKE2b-256 bb1e20c271ad26735b73b3a76c78efffa96eb8e7a8ecd07d3628bc0a9a8235e0

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp314-cp314-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp314-cp314-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 4b20d2710209275a42916b525cda32e40679ffe816afdf93b2abe6a7ea1f6e70
MD5 ee74d7fccb6e515f1764a3ae9204039d
BLAKE2b-256 72c23b2df3a3878a712e1d849b002e277b23a6d22b841dd88303bc0689966e52

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp313-cp313-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp313-cp313-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 18de481d2ff087779a6ceaec5dc43ffd977aa86c86d0a8a8721558741f56681a
MD5 6f3e366df1946c47375a7e0640403f2f
BLAKE2b-256 daa830201617c9d000d9e1d27f9cc291d191fa5b755762943a0ffb4399aa9926

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp313-cp313-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp313-cp313-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2bd965c6cea7f80360b3ebe2f72e22914e2dfd9885cd8c25da908b4a2ee56ce9
MD5 9f96720e9a2e0923a933906c5d5abb63
BLAKE2b-256 af6e8355537f75919ef6409f71f829e508983eb9804dbb54815cc19e7174e9ab

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp313-cp313-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp313-cp313-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 371070a359adf496af13d6cb7eb64d64535a4ee5d17d6752209cb6d0815f46a6
MD5 88b5ea63912a6f6c405e709864bb44e6
BLAKE2b-256 d93a34099c390519c80e4ba73dd8f53a8b5bea0a0fe7adc65b0fe9ce47ea3e78

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 4b6d5affa9eb97d9f0d2c2f0c9ebff6440a3c83ec41c5b387325aa0445fb0be4
MD5 c905a6cb177f8d852af148b25f3810ad
BLAKE2b-256 504c0fee10c989a09c8a8b174dcb76497cf3261a468ed51fc5ff74cadcd6e868

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 063b756d9d3a80d024f95b6ad1780bfb87b2d20da36db171030246d541eefa06
MD5 b880e070905df242716acf4f8a616f93
BLAKE2b-256 faa36851fe36721860d2959939e8f92feaab2b258d943d158b4e5e383cac4e16

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d3ae645445914a2aefc707a3af3753be8a09398ada844597a35aeac21e142497
MD5 116ee4b16a32794b29443a37eaed4083
BLAKE2b-256 57b5b7062809803fd0bfdb91dda95c3b1fe66e77dbeff167d7a74d08ccb2ba6f

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp312-cp312-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp312-cp312-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 820236365106817ff534bf9a85211a4966f3c7cf577ea1659f920f744c9ed114
MD5 d7daf30c0aa3db8fe4e270cfc73034b7
BLAKE2b-256 fbf27aff80c8624447b572fa85a68d1a2ecfaaa9ad4760db14f6ed8cc7932793

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1bb0633f4340e0039a2db94dc15543cfccd91babf4afba0407d8e46625475699
MD5 dda54e557750d358d6a8a7cb40ec6cef
BLAKE2b-256 805f879a8b3b720714bf1c4b9057bf1d0248f5e2497fdf5e684da40aae02717a

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ffec556f5a1af64bf35956d9b0e788ee66a28d2780e6e6b49fee0de16cd5acf4
MD5 b03f7c33138d9d06bb4524cb6d983c61
BLAKE2b-256 86c0979e28ae1b59e35d0978df1e44debe8708a79cdfb659356ce95dca34a18e

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp311-cp311-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp311-cp311-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 5b3b37f689fa81a70f10b080774ba1d577bb7638b69af6b613301d08fadb3f7a
MD5 8a296f05f75c818bbd0808a37979ab9c
BLAKE2b-256 0a373603ab0d3fdd7b5d56a87f90b894ec4eeb2e740aa67474edc191c5ec8942

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 520e0687ccc7eb13613805b29ac4500c877469844fc7cd985fa0e287badf9e94
MD5 34c84095fcbde86becc3fcd80bd8e3db
BLAKE2b-256 7bd9aa9c13221fe24a2d646a8b5707534bc04728c9d8b0202db2b0951952af03

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d91e1047bd8119c17698b681f7a34b4444248f3e1d127151cdf47827131651b4
MD5 bc8f57d30db2f0877603b20fecc39ac1
BLAKE2b-256 f20b39d6419ed92fd395c3602a4cc761bd5b73bcd34ceffc87d3fc5a8ef75ec3

See more details on using hashes here.

File details

Details for the file pyats_easypy-26.8-cp310-cp310-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for pyats_easypy-26.8-cp310-cp310-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 f2f828cfe5f1b50d3f25580d2e03bc4f644ec142ccc858517dad753701482efc
MD5 a8184490eb5cc380e8e1325bc8c0a850
BLAKE2b-256 1f3cdbc80cb8d46bf5170bedc8e6306b646e179075395e681e9fd542966d5868

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

26.8 This release

16 files

26.7

16 files

26.6

16 files

26.5

16 files

26.4

14 files

26.3

16 files

26.2

13 files

26.1

13 files

25.11

13 files

25.10

15 files

25.9

16 files

25.8

16 files

25.7

16 files

25.6

14 files

25.5

16 files

25.4

18 files

25.3

10 files

Pre-release

25.3.0rc1

1 file

25.2

16 files

25.1

15 files

24.11

13 files

24.10

15 files

24.9

15 files

24.8

15 files

24.7

15 files

24.6

16 files

24.5

15 files

24.4

16 files

24.3

16 files

24.2

16 files

24.1

13 files

23.11

13 files

23.10

13 files

23.9

17 files

23.8

17 files

23.7

17 files

23.6

13 files

23.5

13 files

23.4

13 files

23.3

12 files

23.2

12 files

23.1

13 files

22.11

12 files

22.10

11 files

22.9

15 files

22.8

12 files

22.7

15 files

22.6

15 files

22.5

15 files

22.4

19 files

22.3

19 files

22.2

14 files

22.1

14 files

21.12

12 files

21.10

12 files

21.9

12 files

21.8.1

12 files

21.8

12 files

21.7

12 files

21.6

12 files

21.5.1

1 file

21.5

12 files

21.4

12 files

21.3

12 files

21.2

12 files

21.1

12 files

20.12

12 files

20.10.1

12 files

20.10

12 files

20.9

12 files

20.8

12 files

20.7

12 files

20.6.1

12 files

20.6

12 files

20.5

12 files

20.4.1

12 files

20.4

12 files

20.2

12 files

20.1

12 files

19.12

12 files

19.11.1

12 files

19.11

12 files

19.10.1

12 files

19.10

12 files

19.9.4

12 files

19.9.3

12 files

19.9.2

12 files

19.9

12 files

19.8

12 files

19.7

12 files

19.6

8 files

19.5.0

8 files

19.4.2

8 files

19.0.1

8 files

19.0

8 files

5.1.0

6 files

5.0.4

6 files

5.0.3

6 files

5.0.2

6 files

5.0.0

6 files

4.1.10

6 files

4.1.9

6 files

4.1.7

6 files

4.1.6

6 files

4.1.5

9 files

4.1.4

6 files

4.1.3

6 files

4.1.1

6 files

4.1.0

6 files

4.0.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page